CVPR 2016 论文集

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Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data: Lisa Anne Hendricks,
Subhashini Venugopalan,
Marcus Rohrbach,
Raymond Mooney,
Kate Saenko,
Trevor Darrell; [pdf]
[bibtex]
@InProceedings{Hendricks_2016_CVPR,
author = {Anne Hendricks, Lisa and Venugopalan, Subhashini and Rohrbach, Marcus and Mooney, Raymond and Saenko, Kate and Darrell, Trevor},
title = {Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Generation and Comprehension of Unambiguous Object Descriptions: Junhua Mao,
Jonathan Huang,
Alexander Toshev,
Oana Camburu,
Alan L. Yuille,
Kevin Murphy; [pdf]
[bibtex]
@InProceedings{Mao_2016_CVPR,
author = {Mao, Junhua and Huang, Jonathan and Toshev, Alexander and Camburu, Oana and Yuille, Alan L. and Murphy, Kevin},
title = {Generation and Comprehension of Unambiguous Object Descriptions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Stacked Attention Networks for Image Question Answering: Zichao Yang,
Xiaodong He,
Jianfeng Gao,
Li Deng,
Alex Smola; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Zichao and He, Xiaodong and Gao, Jianfeng and Deng, Li and Smola, Alex},
title = {Stacked Attention Networks for Image Question Answering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Image Question Answering Using Convolutional Neural Network With Dynamic Parameter Prediction: Hyeonwoo Noh,
Paul Hongsuck Seo,
Bohyung Han; [pdf]
[bibtex]
@InProceedings{Noh_2016_CVPR,
author = {Noh, Hyeonwoo and Hongsuck Seo, Paul and Han, Bohyung},
title = {Image Question Answering Using Convolutional Neural Network With Dynamic Parameter Prediction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Neural Module Networks: Jacob Andreas,
Marcus Rohrbach,
Trevor Darrell,
Dan Klein; [pdf]
[bibtex]
@InProceedings{Andreas_2016_CVPR,
author = {Andreas, Jacob and Rohrbach, Marcus and Darrell, Trevor and Klein, Dan},
title = {Neural Module Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Deep Representations of Fine-Grained Visual Descriptions: Scott Reed,
Zeynep Akata,
Honglak Lee,
Bernt Schiele; [pdf]
[bibtex]
@InProceedings{Reed_2016_CVPR,
author = {Reed, Scott and Akata, Zeynep and Lee, Honglak and Schiele, Bernt},
title = {Learning Deep Representations of Fine-Grained Visual Descriptions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multi-Cue Zero-Shot Learning With Strong Supervision: Zeynep Akata,
Mateusz Malinowski,
Mario Fritz,
Bernt Schiele; [pdf]
[bibtex]
@InProceedings{Akata_2016_CVPR,
author = {Akata, Zeynep and Malinowski, Mateusz and Fritz, Mario and Schiele, Bernt},
title = {Multi-Cue Zero-Shot Learning With Strong Supervision},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Latent Embeddings for Zero-Shot Classification: Yongqin Xian,
Zeynep Akata,
Gaurav Sharma,
Quynh Nguyen,
Matthias Hein,
Bernt Schiele; [pdf]
[bibtex]
@InProceedings{Xian_2016_CVPR,
author = {Xian, Yongqin and Akata, Zeynep and Sharma, Gaurav and Nguyen, Quynh and Hein, Matthias and Schiele, Bernt},
title = {Latent Embeddings for Zero-Shot Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
One-Shot Learning of Scene Locations via Feature Trajectory Transfer: Roland Kwitt,
Sebastian Hegenbart,
Marc Niethammer; [pdf]
[bibtex]
@InProceedings{Kwitt_2016_CVPR,
author = {Kwitt, Roland and Hegenbart, Sebastian and Niethammer, Marc},
title = {One-Shot Learning of Scene Locations via Feature Trajectory Transfer},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Attributes Equals Multi-Source Domain Generalization: Chuang Gan,
Tianbao Yang,
Boqing Gong; [pdf]
[bibtex]
@InProceedings{Gan_2016_CVPR,
author = {Gan, Chuang and Yang, Tianbao and Gong, Boqing},
title = {Learning Attributes Equals Multi-Source Domain Generalization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Anticipating Visual Representations From Unlabeled Video: Carl Vondrick,
Hamed Pirsiavash,
Antonio Torralba; [pdf]
[bibtex]
@InProceedings{Vondrick_2016_CVPR,
author = {Vondrick, Carl and Pirsiavash, Hamed and Torralba, Antonio},
title = {Anticipating Visual Representations From Unlabeled Video},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning to Assign Orientations to Feature Points: Kwang Moo Yi,
Yannick Verdie,
Pascal Fua,
Vincent Lepetit; [pdf]
[bibtex]
@InProceedings{Yi_2016_CVPR,
author = {Moo Yi, Kwang and Verdie, Yannick and Fua, Pascal and Lepetit, Vincent},
title = {Learning to Assign Orientations to Feature Points},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Dense Correspondence via 3D-Guided Cycle Consistency: Tinghui Zhou,
Philipp Krahenbuhl,
Mathieu Aubry,
Qixing Huang,
Alexei A. Efros; [pdf]
[bibtex]
@InProceedings{Zhou_2016_CVPR,
author = {Zhou, Tinghui and Krahenbuhl, Philipp and Aubry, Mathieu and Huang, Qixing and Efros, Alexei A.},
title = {Learning Dense Correspondence via 3D-Guided Cycle Consistency},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
The Global Patch Collider: Shenlong Wang,
Sean Ryan Fanello,
Christoph Rhemann,
Shahram Izadi,
Pushmeet Kohli; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Shenlong and Ryan Fanello, Sean and Rhemann, Christoph and Izadi, Shahram and Kohli, Pushmeet},
title = {The Global Patch Collider},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Joint Probabilistic Matching Using m-Best Solutions: Seyed Hamid Rezatofighi,
Anton Milan,
Zhen Zhang,
Qinfeng Shi,
Anthony Dick,
Ian Reid; [pdf]
[bibtex]
@InProceedings{Rezatofighi_2016_CVPR,
author = {Hamid Rezatofighi, Seyed and Milan, Anton and Zhang, Zhen and Shi, Qinfeng and Dick, Anthony and Reid, Ian},
title = {Joint Probabilistic Matching Using m-Best Solutions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Face Alignment Across Large Poses: A 3D Solution: Xiangyu Zhu,
Zhen Lei,
Xiaoming Liu,
Hailin Shi,
Stan Z. Li; [pdf]
[bibtex]
@InProceedings{Zhu_2016_CVPR,
author = {Zhu, Xiangyu and Lei, Zhen and Liu, Xiaoming and Shi, Hailin and Li, Stan Z.},
title = {Face Alignment Across Large Poses: A 3D Solution},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Interactive Segmentation on RGBD Images via Cue Selection: Jie Feng,
Brian Price,
Scott Cohen,
Shih-Fu Chang; [pdf]
[bibtex]
@InProceedings{Feng_2016_CVPR,
author = {Feng, Jie and Price, Brian and Cohen, Scott and Chang, Shih-Fu},
title = {Interactive Segmentation on RGBD Images via Cue Selection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Layered Scene Decomposition via the Occlusion-CRF: Chen Liu,
Pushmeet Kohli,
Yasutaka Furukawa; [pdf]
[bibtex]
@InProceedings{Liu_2016_CVPR,
author = {Liu, Chen and Kohli, Pushmeet and Furukawa, Yasutaka},
title = {Layered Scene Decomposition via the Occlusion-CRF},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding: Michael Maire,
Takuya Narihira,
Stella X. Yu; [pdf]
[bibtex]
@InProceedings{Maire_2016_CVPR,
author = {Maire, Michael and Narihira, Takuya and Yu, Stella X.},
title = {Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Weakly Supervised Object Boundaries: Anna Khoreva,
Rodrigo Benenson,
Mohamed Omran,
Matthias Hein,
Bernt Schiele; [pdf]
[bibtex]
@InProceedings{Khoreva_2016_CVPR,
author = {Khoreva, Anna and Benenson, Rodrigo and Omran, Mohamed and Hein, Matthias and Schiele, Bernt},
title = {Weakly Supervised Object Boundaries},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Object Contour Detection With a Fully Convolutional Encoder-Decoder Network: Jimei Yang,
Brian Price,
Scott Cohen,
Honglak Lee,
Ming-Hsuan Yang; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Jimei and Price, Brian and Cohen, Scott and Lee, Honglak and Yang, Ming-Hsuan},
title = {Object Contour Detection With a Fully Convolutional Encoder-Decoder Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
What Value Do Explicit High Level Concepts Have in Vision to Language Problems?: Qi Wu,
Chunhua Shen,
Lingqiao Liu,
Anthony Dick,
Anton van den Hengel; [pdf]
[bibtex]
@InProceedings{Wu_2016_CVPR,
author = {Wu, Qi and Shen, Chunhua and Liu, Lingqiao and Dick, Anthony and van den Hengel, Anton},
title = {What Value Do Explicit High Level Concepts Have in Vision to Language Problems?},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Fast Detection of Curved Edges at Low SNR: Nati Ofir,
Meirav Galun,
Boaz Nadler,
Ronen Basri; [pdf]
[bibtex]
@InProceedings{Ofir_2016_CVPR,
author = {Ofir, Nati and Galun, Meirav and Nadler, Boaz and Basri, Ronen},
title = {Fast Detection of Curved Edges at Low SNR},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs: Wei Shen,
Kai Zhao,
Yuan Jiang,
Yan Wang,
Zhijiang Zhang,
Xiang Bai; [pdf]
[bibtex]
@InProceedings{Shen_2016_CVPR,
author = {Shen, Wei and Zhao, Kai and Jiang, Yuan and Wang, Yan and Zhang, Zhijiang and Bai, Xiang},
title = {Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Relaxed Deep Supervision for Better Edge Detection: Yu Liu,
Michael S. Lew; [pdf]
[bibtex]
@InProceedings{Liu_2016_CVPR,
author = {Liu, Yu and Lew, Michael S.},
title = {Learning Relaxed Deep Supervision for Better Edge Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Occlusion Boundary Detection via Deep Exploration of Context: Huan Fu,
Chaohui Wang,
Dacheng Tao,
Michael J. Black; [pdf]
[bibtex]
@InProceedings{Fu_2016_CVPR,
author = {Fu, Huan and Wang, Chaohui and Tao, Dacheng and Black, Michael J.},
title = {Occlusion Boundary Detection via Deep Exploration of Context},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
SemiContour: A Semi-Supervised Learning Approach for Contour Detection: Zizhao Zhang,
Fuyong Xing,
Xiaoshuang Shi,
Lin Yang; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Zizhao and Xing, Fuyong and Shi, Xiaoshuang and Yang, Lin},
title = {SemiContour: A Semi-Supervised Learning Approach for Contour Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning to Localize Little Landmarks: Saurabh Singh,
Derek Hoiem,
David Forsyth; [pdf]
[bibtex]
@InProceedings{Singh_2016_CVPR,
author = {Singh, Saurabh and Hoiem, Derek and Forsyth, David},
title = {Learning to Localize Little Landmarks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
InterActive: Inter-Layer Activeness Propagation: Lingxi Xie,
Liang Zheng,
Jingdong Wang,
Alan L. Yuille,
Qi Tian; [pdf]
[bibtex]
@InProceedings{Xie_2016_CVPR,
author = {Xie, Lingxi and Zheng, Liang and Wang, Jingdong and Yuille, Alan L. and Tian, Qi},
title = {InterActive: Inter-Layer Activeness Propagation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Exploit Bounding Box Annotations for Multi-Label Object Recognition: Hao Yang,
Joey Tianyi Zhou,
Yu Zhang,
Bin-Bin Gao,
Jianxin Wu,
Jianfei Cai; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Hao and Tianyi Zhou, Joey and Zhang, Yu and Gao, Bin-Bin and Wu, Jianxin and Cai, Jianfei},
title = {Exploit Bounding Box Annotations for Multi-Label Object Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks: Dmitry Laptev,
Nikolay Savinov,
Joachim M. Buhmann,
Marc Pollefeys; [pdf]
[bibtex]
@InProceedings{Laptev_2016_CVPR,
author = {Laptev, Dmitry and Savinov, Nikolay and Buhmann, Joachim M. and Pollefeys, Marc},
title = {TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction: Edgar Simo-Serra,
Hiroshi Ishikawa; [pdf]
[bibtex]
@InProceedings{Simo-Serra_2016_CVPR,
author = {Simo-Serra, Edgar and Ishikawa, Hiroshi},
title = {Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis: Yuhui Quan,
Chenglong Bao,
Hui Ji; [pdf]
[bibtex]
@InProceedings{Quan_2016_CVPR,
author = {Quan, Yuhui and Bao, Chenglong and Ji, Hui},
title = {Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Compact Bilinear Pooling: Yang Gao,
Oscar Beijbom,
Ning Zhang,
Trevor Darrell; [pdf]
[bibtex]
@InProceedings{Gao_2016_CVPR,
author = {Gao, Yang and Beijbom, Oscar and Zhang, Ning and Darrell, Trevor},
title = {Compact Bilinear Pooling},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Accumulated Stability Voting: A Robust Descriptor From Descriptors of Multiple Scales: Tsun-Yi Yang,
Yen-Yu Lin,
Yung-Yu Chuang; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Tsun-Yi and Lin, Yen-Yu and Chuang, Yung-Yu},
title = {Accumulated Stability Voting: A Robust Descriptor From Descriptors of Multiple Scales},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
CoMaL: Good Features to Match on Object Boundaries: Swarna K. Ravindran,
Anurag Mittal; [pdf]
[bibtex]
@InProceedings{Ravindran_2016_CVPR,
author = {Ravindran, Swarna K. and Mittal, Anurag},
title = {CoMaL: Good Features to Match on Object Boundaries},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Progressive Feature Matching With Alternate Descriptor Selection and Correspondence Enrichment: Yuan-Ting Hu,
Yen-Yu Lin; [pdf]
[bibtex]
@InProceedings{Hu_2016_CVPR,
author = {Hu, Yuan-Ting and Lin, Yen-Yu},
title = {Progressive Feature Matching With Alternate Descriptor Selection and Correspondence Enrichment},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A New Finsler Minimal Path Model With Curvature Penalization for Image Segmentation and Closed Contour Detection: Da Chen,
Jean-Marie Mirebeau,
Laurent D. Cohen; [pdf]
[bibtex]
@InProceedings{Chen_2016_CVPR,
author = {Chen, Da and Mirebeau, Jean-Marie and Cohen, Laurent D.},
title = {A New Finsler Minimal Path Model With Curvature Penalization for Image Segmentation and Closed Contour Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Scale-Aware Alignment of Hierarchical Image Segmentation: Yuhua Chen,
Dengxin Dai,
Jordi Pont-Tuset,
Luc Van Gool; [pdf]
[bibtex]
@InProceedings{Chen_2016_CVPR,
author = {Chen, Yuhua and Dai, Dengxin and Pont-Tuset, Jordi and Van Gool, Luc},
title = {Scale-Aware Alignment of Hierarchical Image Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Interactive Object Selection: Ning Xu,
Brian Price,
Scott Cohen,
Jimei Yang,
Thomas S. Huang; [pdf]
[bibtex]
@InProceedings{Xu_2016_CVPR,
author = {Xu, Ning and Price, Brian and Cohen, Scott and Yang, Jimei and Huang, Thomas S.},
title = {Deep Interactive Object Selection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Pull the Plug? Predicting If Computers or Humans Should Segment Images: Danna Gurari,
Suyog Jain,
Margrit Betke,
Kristen Grauman; [pdf]
[bibtex]
@InProceedings{Gurari_2016_CVPR,
author = {Gurari, Danna and Jain, Suyog and Betke, Margrit and Grauman, Kristen},
title = {Pull the Plug? Predicting If Computers or Humans Should Segment Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-Region Segmentation: Yuka Kihara,
Matvey Soloviev,
Tsuhan Chen; [pdf]
[bibtex]
@InProceedings{Kihara_2016_CVPR,
author = {Kihara, Yuka and Soloviev, Matvey and Chen, Tsuhan},
title = {In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-Region Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Convexity Shape Constraints for Image Segmentation: Loic A. Royer,
David L. Richmond,
Carsten Rother,
Bjoern Andres,
Dagmar Kainmueller; [pdf]
[bibtex]
@InProceedings{Royer_2016_CVPR,
author = {Royer, Loic A. and Richmond, David L. and Rother, Carsten and Andres, Bjoern and Kainmueller, Dagmar},
title = {Convexity Shape Constraints for Image Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
MCMC Shape Sampling for Image Segmentation With Nonparametric Shape Priors: Ertunc Erdil,
Sinan Yildirim,
Mujdat Cetin,
Tolga Tasdizen; [pdf]
[bibtex]
@InProceedings{Erdil_2016_CVPR,
author = {Erdil, Ertunc and Yildirim, Sinan and Cetin, Mujdat and Tasdizen, Tolga},
title = {MCMC Shape Sampling for Image Segmentation With Nonparametric Shape Priors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
From Noise Modeling to Blind Image Denoising: Fengyuan Zhu,
Guangyong Chen,
Pheng-Ann Heng; [pdf]
[bibtex]
@InProceedings{Zhu_2016_CVPR,
author = {Zhu, Fengyuan and Chen, Guangyong and Heng, Pheng-Ann},
title = {From Noise Modeling to Blind Image Denoising},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient and Robust Color Consistency for Community Photo Collections: Jaesik Park,
Yu-Wing Tai,
Sudipta N. Sinha,
In So Kweon; [pdf]
[bibtex]
@InProceedings{Park_2016_CVPR,
author = {Park, Jaesik and Tai, Yu-Wing and Sinha, Sudipta N. and So Kweon, In},
title = {Efficient and Robust Color Consistency for Community Photo Collections},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Needle-Match: Reliable Patch Matching Under High Uncertainty: Or Lotan,
Michal Irani; [pdf]
[bibtex]
@InProceedings{Lotan_2016_CVPR,
author = {Lotan, Or and Irani, Michal},
title = {Needle-Match: Reliable Patch Matching Under High Uncertainty},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements: Kuldeep Kulkarni,
Suhas Lohit,
Pavan Turaga,
Ronan Kerviche,
Amit Ashok; [pdf]
[bibtex]
@InProceedings{Kulkarni_2016_CVPR,
author = {Kulkarni, Kuldeep and Lohit, Suhas and Turaga, Pavan and Kerviche, Ronan and Ashok, Amit},
title = {ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Soft-Segmentation Guided Object Motion Deblurring: Jinshan Pan,
Zhe Hu,
Zhixun Su,
Hsin-Ying Lee,
Ming-Hsuan Yang; [pdf]
[bibtex]
@InProceedings{Pan_2016_CVPR,
author = {Pan, Jinshan and Hu, Zhe and Su, Zhixun and Lee, Hsin-Ying and Yang, Ming-Hsuan},
title = {Soft-Segmentation Guided Object Motion Deblurring},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Two Illuminant Estimation and User Correction Preference: Dongliang Cheng,
Abdelrahman Abdelhamed,
Brian Price,
Scott Cohen,
Michael S. Brown; [pdf]
[bibtex]
@InProceedings{Cheng_2016_CVPR,
author = {Cheng, Dongliang and Abdelhamed, Abdelrahman and Price, Brian and Cohen, Scott and Brown, Michael S.},
title = {Two Illuminant Estimation and User Correction Preference},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Contrast Learning for Salient Object Detection: Guanbin Li,
Yizhou Yu; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Guanbin and Yu, Yizhou},
title = {Deep Contrast Learning for Salient Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multiview Image Completion With Space Structure Propagation: Seung-Hwan Baek,
Inchang Choi,
Min H. Kim; [pdf]
[bibtex]
@InProceedings{Baek_2016_CVPR,
author = {Baek, Seung-Hwan and Choi, Inchang and Kim, Min H.},
title = {Multiview Image Completion With Space Structure Propagation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Composition-Preserving Deep Photo Aesthetics Assessment: Long Mai,
Hailin Jin,
Feng Liu; [pdf]
[bibtex]
@InProceedings{Mai_2016_CVPR,
author = {Mai, Long and Jin, Hailin and Liu, Feng},
title = {Composition-Preserving Deep Photo Aesthetics Assessment},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Automatic Image Cropping : A Computational Complexity Study: Jiansheng Chen,
Gaocheng Bai,
Shaoheng Liang,
Zhengqin Li; [pdf]
[bibtex]
@InProceedings{Chen_2016_CVPR,
author = {Chen, Jiansheng and Bai, Gaocheng and Liang, Shaoheng and Li, Zhengqin},
title = {Automatic Image Cropping : A Computational Complexity Study},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond: Neil D. B. Bruce,
Christopher Catton,
Sasa Janjic; [pdf]
[bibtex]
@InProceedings{Bruce_2016_CVPR,
author = {Bruce, Neil D. B. and Catton, Christopher and Janjic, Sasa},
title = {A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Spatially Binned ROC: A Comprehensive Saliency Metric: Calden Wloka,
John Tsotsos; [pdf]
[bibtex]
@InProceedings{Wloka_2016_CVPR,
author = {Wloka, Calden and Tsotsos, John},
title = {Spatially Binned ROC: A Comprehensive Saliency Metric},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
GraB: Visual Saliency via Novel Graph Model and Background Priors: Qiaosong Wang,
Wen Zheng,
Robinson Piramuthu; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Qiaosong and Zheng, Wen and Piramuthu, Robinson},
title = {GraB: Visual Saliency via Novel Graph Model and Background Priors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Predicting When Saliency Maps Are Accurate and Eye Fixations Consistent: Anna Volokitin,
Michael Gygli,
Xavier Boix; [pdf]
[bibtex]
@InProceedings{Volokitin_2016_CVPR,
author = {Volokitin, Anna and Gygli, Michael and Boix, Xavier},
title = {Predicting When Saliency Maps Are Accurate and Eye Fixations Consistent},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Split and Match: Example-Based Adaptive Patch Sampling for Unsupervised Style Transfer: Oriel Frigo,
Neus Sabater,
Julie Delon,
Pierre Hellier; [pdf]
[bibtex]
@InProceedings{Frigo_2016_CVPR,
author = {Frigo, Oriel and Sabater, Neus and Delon, Julie and Hellier, Pierre},
title = {Split and Match: Example-Based Adaptive Patch Sampling for Unsupervised Style Transfer},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Detection and Accurate Localization of Circular Fiducials Under Highly Challenging Conditions: Lilian Calvet,
Pierre Gurdjos,
Carsten Griwodz,
Simone Gasparini; [pdf]
[bibtex]
@InProceedings{Calvet_2016_CVPR,
author = {Calvet, Lilian and Gurdjos, Pierre and Griwodz, Carsten and Gasparini, Simone},
title = {Detection and Accurate Localization of Circular Fiducials Under Highly Challenging Conditions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Scene Recognition With CNNs: Objects, Scales and Dataset Bias: Luis Herranz,
Shuqiang Jiang,
Xiangyang Li; [pdf]
[bibtex]
@InProceedings{Herranz_2016_CVPR,
author = {Herranz, Luis and Jiang, Shuqiang and Li, Xiangyang},
title = {Scene Recognition With CNNs: Objects, Scales and Dataset Bias},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Action Maps of Large Environments via First-Person Vision: Nicholas Rhinehart,
Kris M. Kitani; [pdf]
[bibtex]
@InProceedings{Rhinehart_2016_CVPR,
author = {Rhinehart, Nicholas and Kitani, Kris M.},
title = {Learning Action Maps of Large Environments via First-Person Vision},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network: Yingying Zhang,
Desen Zhou,
Siqin Chen,
Shenghua Gao,
Yi Ma; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Yingying and Zhou, Desen and Chen, Siqin and Gao, Shenghua and Ma, Yi},
title = {Single-Image Crowd Counting via Multi-Column Convolutional Neural Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Shallow and Deep Convolutional Networks for Saliency Prediction: Junting Pan,
Elisa Sayrol,
Xavier Giro-i-Nieto,
Kevin McGuinness,
Noel E. O'Connor; [pdf]
[bibtex]
@InProceedings{Pan_2016_CVPR,
author = {Pan, Junting and Sayrol, Elisa and Giro-i-Nieto, Xavier and McGuinness, Kevin and O'Connor, Noel E.},
title = {Shallow and Deep Convolutional Networks for Saliency Prediction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering: Mohammad Najafi,
Sarah Taghavi Namin,
Mathieu Salzmann,
Lars Petersson; [pdf]
[bibtex]
@InProceedings{Najafi_2016_CVPR,
author = {Najafi, Mohammad and Taghavi Namin, Sarah and Salzmann, Mathieu and Petersson, Lars},
title = {Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes: Saumitro Dasgupta,
Kuan Fang,
Kevin Chen,
Silvio Savarese; [pdf]
[bibtex]
@InProceedings{Dasgupta_2016_CVPR,
author = {Dasgupta, Saumitro and Fang, Kuan and Chen, Kevin and Savarese, Silvio},
title = {DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Text Detection System for Natural Scenes With Convolutional Feature Learning and Cascaded Classification: Siyu Zhu,
Richard Zanibbi; [pdf]
[bibtex]
@InProceedings{Zhu_2016_CVPR,
author = {Zhu, Siyu and Zanibbi, Richard},
title = {A Text Detection System for Natural Scenes With Convolutional Feature Learning and Cascaded Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Reversible Recursive Instance-Level Object Segmentation: Xiaodan Liang,
Yunchao Wei,
Xiaohui Shen,
Zequn Jie,
Jiashi Feng,
Liang Lin,
Shuicheng Yan; [pdf]
[bibtex]
@InProceedings{Liang_2016_CVPR,
author = {Liang, Xiaodan and Wei, Yunchao and Shen, Xiaohui and Jie, Zequn and Feng, Jiashi and Lin, Liang and Yan, Shuicheng},
title = {Reversible Recursive Instance-Level Object Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Coherent Parametric Contours for Interactive Video Object Segmentation: Yao Lu,
Xue Bai,
Linda Shapiro,
Jue Wang; [pdf]
[bibtex]
@InProceedings{Lu_2016_CVPR,
author = {Lu, Yao and Bai, Xue and Shapiro, Linda and Wang, Jue},
title = {Coherent Parametric Contours for Interactive Video Object Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels: Yong-Jin Liu,
Cheng-Chi Yu,
Min-Jing Yu,
Ying He; [pdf]
[bibtex]
@InProceedings{Liu_2016_CVPR,
author = {Liu, Yong-Jin and Yu, Cheng-Chi and Yu, Min-Jing and He, Ying},
title = {Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Saliency With Encoded Low Level Distance Map and High Level Features: Gayoung Lee,
Yu-Wing Tai,
Junmo Kim; [pdf]
[bibtex]
@InProceedings{Lee_2016_CVPR,
author = {Lee, Gayoung and Tai, Yu-Wing and Kim, Junmo},
title = {Deep Saliency With Encoded Low Level Distance Map and High Level Features},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Instance-Level Segmentation for Autonomous Driving With Deep Densely Connected MRFs: Ziyu Zhang,
Sanja Fidler,
Raquel Urtasun; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Ziyu and Fidler, Sanja and Urtasun, Raquel},
title = {Instance-Level Segmentation for Autonomous Driving With Deep Densely Connected MRFs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection: Nian Liu,
Junwei Han; [pdf]
[bibtex]
@InProceedings{Liu_2016_CVPR,
author = {Liu, Nian and Han, Junwei},
title = {DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Object Co-Segmentation via Graph Optimized-Flexible Manifold Ranking: Rong Quan,
Junwei Han,
Dingwen Zhang,
Feiping Nie; [pdf]
[bibtex]
@InProceedings{Quan_2016_CVPR,
author = {Quan, Rong and Han, Junwei and Zhang, Dingwen and Nie, Feiping},
title = {Object Co-Segmentation via Graph Optimized-Flexible Manifold Ranking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions: Won-Dong Jang,
Chulwoo Lee,
Chang-Su Kim; [pdf]
[bibtex]
@InProceedings{Jang_2016_CVPR,
author = {Jang, Won-Dong and Lee, Chulwoo and Kim, Chang-Su},
title = {Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Automatic Fence Segmentation in Videos of Dynamic Scenes: Renjiao Yi,
Jue Wang,
Ping Tan; [pdf]
[bibtex]
@InProceedings{Yi_2016_CVPR,
author = {Yi, Renjiao and Wang, Jue and Tan, Ping},
title = {Automatic Fence Segmentation in Videos of Dynamic Scenes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Discovering the Physical Parts of an Articulated Object Class From Multiple Videos: Luca Del Pero,
Susanna Ricco,
Rahul Sukthankar,
Vittorio Ferrari; [pdf]
[bibtex]
@InProceedings{Pero_2016_CVPR,
author = {Del Pero, Luca and Ricco, Susanna and Sukthankar, Rahul and Ferrari, Vittorio},
title = {Discovering the Physical Parts of an Articulated Object Class From Multiple Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation: Federico Perazzi,
Jordi Pont-Tuset,
Brian McWilliams,
Luc Van Gool,
Markus Gross,
Alexander Sorkine-Hornung; [pdf]
[bibtex]
@InProceedings{Perazzi_2016_CVPR,
author = {Perazzi, Federico and Pont-Tuset, Jordi and McWilliams, Brian and Van Gool, Luc and Gross, Markus and Sorkine-Hornung, Alexander},
title = {A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Temporal Regularity in Video Sequences: Mahmudul Hasan,
Jonghyun Choi,
Jan Neumann,
Amit K. Roy-Chowdhury,
Larry S. Davis; [pdf]
[bibtex]
@InProceedings{Hasan_2016_CVPR,
author = {Hasan, Mahmudul and Choi, Jonghyun and Neumann, Jan and Roy-Chowdhury, Amit K. and Davis, Larry S.},
title = {Learning Temporal Regularity in Video Sequences},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Bilateral Space Video Segmentation: Nicolas Maerki,
Federico Perazzi,
Oliver Wang,
Alexander Sorkine-Hornung; [pdf]
[bibtex]
@InProceedings{Maerki_2016_CVPR,
author = {Maerki, Nicolas and Perazzi, Federico and Wang, Oliver and Sorkine-Hornung, Alexander},
title = {Bilateral Space Video Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering: Zhang Zhang,
Kaiqi Huang,
Tieniu Tan,
Peipei Yang,
Jun Li; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Zhang and Huang, Kaiqi and Tan, Tieniu and Yang, Peipei and Li, Jun},
title = {ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Training Region-Based Object Detectors With Online Hard Example Mining: Abhinav Shrivastava,
Abhinav Gupta,
Ross Girshick; [pdf]
[bibtex]
@InProceedings{Shrivastava_2016_CVPR,
author = {Shrivastava, Abhinav and Gupta, Abhinav and Girshick, Ross},
title = {Training Region-Based Object Detectors With Online Hard Example Mining},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Residual Learning for Image Recognition: Kaiming He,
Xiangyu Zhang,
Shaoqing Ren,
Jian Sun; [pdf]
[bibtex]
@InProceedings{He_2016_CVPR,
author = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
title = {Deep Residual Learning for Image Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
You Only Look Once: Unified, Real-Time Object Detection: Joseph Redmon,
Santosh Divvala,
Ross Girshick,
Ali Farhadi; [pdf]
[bibtex]
@InProceedings{Redmon_2016_CVPR,
author = {Redmon, Joseph and Divvala, Santosh and Girshick, Ross and Farhadi, Ali},
title = {You Only Look Once: Unified, Real-Time Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
LocNet: Improving Localization Accuracy for Object Detection: Spyros Gidaris,
Nikos Komodakis; [pdf]
[bibtex]
@InProceedings{Gidaris_2016_CVPR,
author = {Gidaris, Spyros and Komodakis, Nikos},
title = {LocNet: Improving Localization Accuracy for Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Sketch Me That Shoe: Qian Yu,
Feng Liu,
Yi-Zhe Song,
Tao Xiang,
Timothy M. Hospedales,
Chen-Change Loy; [pdf]
[bibtex]
@InProceedings{Yu_2016_CVPR,
author = {Yu, Qian and Liu, Feng and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M. and Loy, Chen-Change},
title = {Sketch Me That Shoe},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images: Shuran Song,
Jianxiong Xiao; [pdf]
[bibtex]
@InProceedings{Song_2016_CVPR,
author = {Song, Shuran and Xiao, Jianxiong},
title = {Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Object Detection From Video Tubelets With Convolutional Neural Networks: Kai Kang,
Wanli Ouyang,
Hongsheng Li,
Xiaogang Wang; [pdf]
[bibtex]
@InProceedings{Kang_2016_CVPR,
author = {Kang, Kai and Ouyang, Wanli and Li, Hongsheng and Wang, Xiaogang},
title = {Object Detection From Video Tubelets With Convolutional Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning With Side Information Through Modality Hallucination: Judy Hoffman,
Saurabh Gupta,
Trevor Darrell; [pdf]
[bibtex]
@InProceedings{Hoffman_2016_CVPR,
author = {Hoffman, Judy and Gupta, Saurabh and Darrell, Trevor},
title = {Learning With Side Information Through Modality Hallucination},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Object-Proposal Evaluation Protocol is 'Gameable': Neelima Chavali,
Harsh Agrawal,
Aroma Mahendru,
Dhruv Batra; [pdf]
[bibtex]
@InProceedings{Chavali_2016_CVPR,
author = {Chavali, Neelima and Agrawal, Harsh and Mahendru, Aroma and Batra, Dhruv},
title = {Object-Proposal Evaluation Protocol is 'Gameable'},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection: Tao Kong,
Anbang Yao,
Yurong Chen,
Fuchun Sun; [pdf]
[bibtex]
@InProceedings{Kong_2016_CVPR,
author = {Kong, Tao and Yao, Anbang and Chen, Yurong and Sun, Fuchun},
title = {HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
We Don't Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification: Dim P. Papadopoulos,
Jasper R. R. Uijlings,
Frank Keller,
Vittorio Ferrari; [pdf]
[bibtex]
@InProceedings{Papadopoulos_2016_CVPR,
author = {Papadopoulos, Dim P. and Uijlings, Jasper R. R. and Keller, Frank and Ferrari, Vittorio},
title = {We Don't Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Factors in Finetuning Deep Model for Object Detection With Long-Tail Distribution: Wanli Ouyang,
Xiaogang Wang,
Cong Zhang,
Xiaokang Yang; [pdf]
[bibtex]
@InProceedings{Ouyang_2016_CVPR,
author = {Ouyang, Wanli and Wang, Xiaogang and Zhang, Cong and Yang, Xiaokang},
title = {Factors in Finetuning Deep Model for Object Detection With Long-Tail Distribution},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Information-Driven Adaptive Structured-Light Scanners: Guy Rosman,
Daniela Rus,
John W. Fisher III; [pdf]
[bibtex]
@InProceedings{Rosman_2016_CVPR,
author = {Rosman, Guy and Rus, Daniela and Fisher, III, John W.},
title = {Information-Driven Adaptive Structured-Light Scanners},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Simultaneous Optical Flow and Intensity Estimation From an Event Camera: Patrick Bardow,
Andrew J. Davison,
Stefan Leutenegger; [pdf]
[bibtex]
@InProceedings{Bardow_2016_CVPR,
author = {Bardow, Patrick and Davison, Andrew J. and Leutenegger, Stefan},
title = {Simultaneous Optical Flow and Intensity Estimation From an Event Camera},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Macroscopic Interferometry: Rethinking Depth Estimation With Frequency-Domain Time-Of-Flight: Achuta Kadambi,
Jamie Schiel,
Ramesh Raskar; [pdf]
[bibtex]
@InProceedings{Kadambi_2016_CVPR,
author = {Kadambi, Achuta and Schiel, Jamie and Raskar, Ramesh},
title = {Macroscopic Interferometry: Rethinking Depth Estimation With Frequency-Domain Time-Of-Flight},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels: Huaijin G. Chen,
Suren Jayasuriya,
Jiyue Yang,
Judy Stephen,
Sriram Sivaramakrishnan,
Ashok Veeraraghavan,
Alyosha Molnar; [pdf]
[bibtex]
@InProceedings{Chen_2016_CVPR,
author = {Chen, Huaijin G. and Jayasuriya, Suren and Yang, Jiyue and Stephen, Judy and Sivaramakrishnan, Sriram and Veeraraghavan, Ashok and Molnar, Alyosha},
title = {ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Computational Imaging for VLBI Image Reconstruction: Katherine L. Bouman,
Michael D. Johnson,
Daniel Zoran,
Vincent L. Fish,
Sheperd S. Doeleman,
William T. Freeman; [pdf]
[bibtex]
@InProceedings{Bouman_2016_CVPR,
author = {Bouman, Katherine L. and Johnson, Michael D. and Zoran, Daniel and Fish, Vincent L. and Doeleman, Sheperd S. and Freeman, William T.},
title = {Computational Imaging for VLBI Image Reconstruction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images: Chuang Gan,
Ting Yao,
Kuiyuan Yang,
Yi Yang,
Tao Mei; [pdf]
[bibtex]
@InProceedings{Gan_2016_CVPR,
author = {Gan, Chuang and Yao, Ting and Yang, Kuiyuan and Yang, Yi and Mei, Tao},
title = {You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals: Fanyi Xiao,
Yong Jae Lee; [pdf]
[bibtex]
@InProceedings{Xiao_2016_CVPR,
author = {Xiao, Fanyi and Jae Lee, Yong},
title = {Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Beyond Local Search: Tracking Objects Everywhere With Instance-Specific Proposals: Gao Zhu,
Fatih Porikli,
Hongdong Li; [pdf]
[bibtex]
@InProceedings{Zhu_2016_CVPR,
author = {Zhu, Gao and Porikli, Fatih and Li, Hongdong},
title = {Beyond Local Search: Tracking Objects Everywhere With Instance-Specific Proposals},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Groupwise Tracking of Crowded Similar-Appearance Targets From Low-Continuity Image Sequences: Hongkai Yu,
Youjie Zhou,
Jeff Simmons,
Craig P. Przybyla,
Yuewei Lin,
Xiaochuan Fan,
Yang Mi,
Song Wang; [pdf]
[bibtex]
@InProceedings{Yu_2016_CVPR,
author = {Yu, Hongkai and Zhou, Youjie and Simmons, Jeff and Przybyla, Craig P. and Lin, Yuewei and Fan, Xiaochuan and Mi, Yang and Wang, Song},
title = {Groupwise Tracking of Crowded Similar-Appearance Targets From Low-Continuity Image Sequences},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Social LSTM: Human Trajectory Prediction in Crowded Spaces: Alexandre Alahi,
Kratarth Goel,
Vignesh Ramanathan,
Alexandre Robicquet,
Li Fei-Fei,
Silvio Savarese; [pdf]
[bibtex]
@InProceedings{Alahi_2016_CVPR,
author = {Alahi, Alexandre and Goel, Kratarth and Ramanathan, Vignesh and Robicquet, Alexandre and Fei-Fei, Li and Savarese, Silvio},
title = {Social LSTM: Human Trajectory Prediction in Crowded Spaces},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
What Players Do With the Ball: A Physically Constrained Interaction Modeling: Andrii Maksai,
Xinchao Wang,
Pascal Fua; [pdf]
[bibtex]
@InProceedings{Maksai_2016_CVPR,
author = {Maksai, Andrii and Wang, Xinchao and Fua, Pascal},
title = {What Players Do With the Ball: A Physically Constrained Interaction Modeling},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Highlight Detection With Pairwise Deep Ranking for First-Person Video Summarization: Ting Yao,
Tao Mei,
Yong Rui; [pdf]
[bibtex]
@InProceedings{Yao_2016_CVPR,
author = {Yao, Ting and Mei, Tao and Rui, Yong},
title = {Highlight Detection With Pairwise Deep Ranking for First-Person Video Summarization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Direct Prediction of 3D Body Poses From Motion Compensated Sequences: Bugra Tekin,
Artem Rozantsev,
Vincent Lepetit,
Pascal Fua; [pdf]
[bibtex]
@InProceedings{Tekin_2016_CVPR,
author = {Tekin, Bugra and Rozantsev, Artem and Lepetit, Vincent and Fua, Pascal},
title = {Direct Prediction of 3D Body Poses From Motion Compensated Sequences},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Video2GIF: Automatic Generation of Animated GIFs From Video: Michael Gygli,
Yale Song,
Liangliang Cao; [pdf]
[bibtex]
@InProceedings{Gygli_2016_CVPR,
author = {Gygli, Michael and Song, Yale and Cao, Liangliang},
title = {Video2GIF: Automatic Generation of Animated GIFs From Video},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis: Amir Shahroudy,
Jun Liu,
Tian-Tsong Ng,
Gang Wang; [pdf]
[bibtex]
@InProceedings{Shahroudy_2016_CVPR,
author = {Shahroudy, Amir and Liu, Jun and Ng, Tian-Tsong and Wang, Gang},
title = {NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Progressively Parsing Interactional Objects for Fine Grained Action Detection: Bingbing Ni,
Xiaokang Yang,
Shenghua Gao; [pdf]
[bibtex]
@InProceedings{Ni_2016_CVPR,
author = {Ni, Bingbing and Yang, Xiaokang and Gao, Shenghua},
title = {Progressively Parsing Interactional Objects for Fine Grained Action Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Hierarchical Recurrent Neural Encoder for Video Representation With Application to Captioning: Pingbo Pan,
Zhongwen Xu,
Yi Yang,
Fei Wu,
Yueting Zhuang; [pdf]
[bibtex]
@InProceedings{Pan_2016_CVPR,
author = {Pan, Pingbo and Xu, Zhongwen and Yang, Yi and Wu, Fei and Zhuang, Yueting},
title = {Hierarchical Recurrent Neural Encoder for Video Representation With Application to Captioning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection: Jingjing Meng,
Hongxing Wang,
Junsong Yuan,
Yap-Peng Tan; [pdf]
[bibtex]
@InProceedings{Meng_2016_CVPR,
author = {Meng, Jingjing and Wang, Hongxing and Yuan, Junsong and Tan, Yap-Peng},
title = {From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Temporal Action Localization in Untrimmed Videos via Multi-Stage CNNs: Zheng Shou,
Dongang Wang,
Shih-Fu Chang; [pdf]
[bibtex]
@InProceedings{Shou_2016_CVPR,
author = {Shou, Zheng and Wang, Dongang and Chang, Shih-Fu},
title = {Temporal Action Localization in Untrimmed Videos via Multi-Stage CNNs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Summary Transfer: Exemplar-Based Subset Selection for Video Summarization: Ke Zhang,
Wei-Lun Chao,
Fei Sha,
Kristen Grauman; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Ke and Chao, Wei-Lun and Sha, Fei and Grauman, Kristen},
title = {Summary Transfer: Exemplar-Based Subset Selection for Video Summarization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models: Yeong Jun Koh,
Won-Dong Jang,
Chang-Su Kim; [pdf]
[bibtex]
@InProceedings{Koh_2016_CVPR,
author = {Jun Koh, Yeong and Jang, Won-Dong and Kim, Chang-Su},
title = {POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
What If We Do Not Have Multiple Videos of the Same Action? -- Video Action Localization Using Web Images: Waqas Sultani,
Mubarak Shah; [pdf]
[bibtex]
@InProceedings{Sultani_2016_CVPR,
author = {Sultani, Waqas and Shah, Mubarak},
title = {What If We Do Not Have Multiple Videos of the Same Action? -- Video Action Localization Using Web Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Beyond F-Formations: Determining Social Involvement in Free Standing Conversing Groups From Static Images: Lu Zhang,
Hayley Hung; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Lu and Hung, Hayley},
title = {Beyond F-Formations: Determining Social Involvement in Free Standing Conversing Groups From Static Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations: Ziwei Liu,
Ping Luo,
Shi Qiu,
Xiaogang Wang,
Xiaoou Tang; [pdf]
[bibtex]
@InProceedings{Liu_2016_CVPR,
author = {Liu, Ziwei and Luo, Ping and Qiu, Shi and Wang, Xiaogang and Tang, Xiaoou},
title = {DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
SketchNet: Sketch Classification With Web Images: Hua Zhang,
Si Liu,
Changqing Zhang,
Wenqi Ren,
Rui Wang,
Xiaochun Cao; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Hua and Liu, Si and Zhang, Changqing and Ren, Wenqi and Wang, Rui and Cao, Xiaochun},
title = {SketchNet: Sketch Classification With Web Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Embedding Label Structures for Fine-Grained Feature Representation: Xiaofan Zhang,
Feng Zhou,
Yuanqing Lin,
Shaoting Zhang; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Xiaofan and Zhou, Feng and Lin, Yuanqing and Zhang, Shaoting},
title = {Embedding Label Structures for Fine-Grained Feature Representation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Fine-Grained Image Classification by Exploring Bipartite-Graph Labels: Feng Zhou,
Yuanqing Lin; [pdf]
[bibtex]
@InProceedings{Zhou_2016_CVPR,
author = {Zhou, Feng and Lin, Yuanqing},
title = {Fine-Grained Image Classification by Exploring Bipartite-Graph Labels},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Picking Deep Filter Responses for Fine-Grained Image Recognition: Xiaopeng Zhang,
Hongkai Xiong,
Wengang Zhou,
Weiyao Lin,
Qi Tian; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Xiaopeng and Xiong, Hongkai and Zhou, Wengang and Lin, Weiyao and Tian, Qi},
title = {Picking Deep Filter Responses for Fine-Grained Image Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition: Han Zhang,
Tao Xu,
Mohamed Elhoseiny,
Xiaolei Huang,
Shaoting Zhang,
Ahmed Elgammal,
Dimitris Metaxas; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Han and Xu, Tao and Elhoseiny, Mohamed and Huang, Xiaolei and Zhang, Shaoting and Elgammal, Ahmed and Metaxas, Dimitris},
title = {SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning With Humans in the Loop: Yin Cui,
Feng Zhou,
Yuanqing Lin,
Serge Belongie; [pdf]
[bibtex]
@InProceedings{Cui_2016_CVPR,
author = {Cui, Yin and Zhou, Feng and Lin, Yuanqing and Belongie, Serge},
title = {Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning With Humans in the Loop},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Mining Discriminative Triplets of Patches for Fine-Grained Classification: Yaming Wang,
Jonghyun Choi,
Vlad Morariu,
Larry S. Davis; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Yaming and Choi, Jonghyun and Morariu, Vlad and Davis, Larry S.},
title = {Mining Discriminative Triplets of Patches for Fine-Grained Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Part-Stacked CNN for Fine-Grained Visual Categorization: Shaoli Huang,
Zhe Xu,
Dacheng Tao,
Ya Zhang; [pdf]
[bibtex]
@InProceedings{Huang_2016_CVPR,
author = {Huang, Shaoli and Xu, Zhe and Tao, Dacheng and Zhang, Ya},
title = {Part-Stacked CNN for Fine-Grained Visual Categorization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Compact Binary Descriptors With Unsupervised Deep Neural Networks: Kevin Lin,
Jiwen Lu,
Chu-Song Chen,
Jie Zhou; [pdf]
[bibtex]
@InProceedings{Lin_2016_CVPR,
author = {Lin, Kevin and Lu, Jiwen and Chen, Chu-Song and Zhou, Jie},
title = {Learning Compact Binary Descriptors With Unsupervised Deep Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Solving Small-Piece Jigsaw Puzzles by Growing Consensus: Kilho Son,
daniel Moreno,
James Hays,
David B. Cooper; [pdf]
[bibtex]
@InProceedings{Son_2016_CVPR,
author = {Son, Kilho and Moreno, daniel and Hays, James and Cooper, David B.},
title = {Solving Small-Piece Jigsaw Puzzles by Growing Consensus},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Pairwise Matching Through Max-Weight Bipartite Belief Propagation: Zhen Zhang,
Qinfeng Shi,
Julian McAuley,
Wei Wei,
Yanning Zhang,
Anton van den Hengel; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Zhen and Shi, Qinfeng and McAuley, Julian and Wei, Wei and Zhang, Yanning and van den Hengel, Anton},
title = {Pairwise Matching Through Max-Weight Bipartite Belief Propagation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Structured Feature Similarity With Explicit Feature Map: Takumi Kobayashi; [pdf]
[bibtex]
@InProceedings{Kobayashi_2016_CVPR,
author = {Kobayashi, Takumi},
title = {Structured Feature Similarity With Explicit Feature Map},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Temporal Epipolar Regions: Mor Dar,
Yael Moses; [pdf]
[bibtex]
@InProceedings{Dar_2016_CVPR,
author = {Dar, Mor and Moses, Yael},
title = {Temporal Epipolar Regions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recurrent Attention Models for Depth-Based Person Identification: Albert Haque,
Alexandre Alahi,
Li Fei-Fei; [pdf]
[bibtex]
@InProceedings{Haque_2016_CVPR,
author = {Haque, Albert and Alahi, Alexandre and Fei-Fei, Li},
title = {Recurrent Attention Models for Depth-Based Person Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning a Discriminative Null Space for Person Re-Identification: Li Zhang,
Tao Xiang,
Shaogang Gong; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Li and Xiang, Tao and Gong, Shaogang},
title = {Learning a Discriminative Null Space for Person Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Deep Feature Representations With Domain Guided Dropout for Person Re-Identification: Tong Xiao,
Hongsheng Li,
Wanli Ouyang,
Xiaogang Wang; [pdf]
[bibtex]
@InProceedings{Xiao_2016_CVPR,
author = {Xiao, Tong and Li, Hongsheng and Ouyang, Wanli and Wang, Xiaogang},
title = {Learning Deep Feature Representations With Domain Guided Dropout for Person Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
How Far Are We From Solving Pedestrian Detection?: Shanshan Zhang,
Rodrigo Benenson,
Mohamed Omran,
Jan Hosang,
Bernt Schiele; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Shanshan and Benenson, Rodrigo and Omran, Mohamed and Hosang, Jan and Schiele, Bernt},
title = {How Far Are We From Solving Pedestrian Detection?},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Similarity Learning With Spatial Constraints for Person Re-Identification: Dapeng Chen,
Zejian Yuan,
Badong Chen,
Nanning Zheng; [pdf]
[bibtex]
@InProceedings{Chen_2016_CVPR,
author = {Chen, Dapeng and Yuan, Zejian and Chen, Badong and Zheng, Nanning},
title = {Similarity Learning With Spatial Constraints for Person Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Sample-Specific SVM Learning for Person Re-Identification: Ying Zhang,
Baohua Li,
Huchuan Lu,
Atshushi Irie,
Xiang Ruan; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Ying and Li, Baohua and Lu, Huchuan and Irie, Atshushi and Ruan, Xiang},
title = {Sample-Specific SVM Learning for Person Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Joint Learning of Single-Image and Cross-Image Representations for Person Re-Identification: Faqiang Wang,
Wangmeng Zuo,
Liang Lin,
David Zhang,
Lei Zhang; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Faqiang and Zuo, Wangmeng and Lin, Liang and Zhang, David and Zhang, Lei},
title = {Joint Learning of Single-Image and Cross-Image Representations for Person Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Multi-Level Contextual Model For Person Recognition in Photo Albums: Haoxiang Li,
Jonathan Brandt,
Zhe Lin,
Xiaohui Shen,
Gang Hua; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Haoxiang and Brandt, Jonathan and Lin, Zhe and Shen, Xiaohui and Hua, Gang},
title = {A Multi-Level Contextual Model For Person Recognition in Photo Albums},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification: Peixi Peng,
Tao Xiang,
Yaowei Wang,
Massimiliano Pontil,
Shaogang Gong,
Tiejun Huang,
Yonghong Tian; [pdf]
[bibtex]
@InProceedings{Peng_2016_CVPR,
author = {Peng, Peixi and Xiang, Tao and Wang, Yaowei and Pontil, Massimiliano and Gong, Shaogang and Huang, Tiejun and Tian, Yonghong},
title = {Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry: Jiale Cao,
Yanwei Pang,
Xuelong Li; [pdf]
[bibtex]
@InProceedings{Cao_2016_CVPR,
author = {Cao, Jiale and Pang, Yanwei and Li, Xuelong},
title = {Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recurrent Convolutional Network for Video-Based Person Re-Identification: Niall McLaughlin,
Jesus Martinez del Rincon,
Paul Miller; [pdf]
[bibtex]
@InProceedings{McLaughlin_2016_CVPR,
author = {McLaughlin, Niall and Martinez del Rincon, Jesus and Miller, Paul},
title = {Recurrent Convolutional Network for Video-Based Person Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Person Re-Identification by Multi-Channel Parts-Based CNN With Improved Triplet Loss Function: De Cheng,
Yihong Gong,
Sanping Zhou,
Jinjun Wang,
Nanning Zheng; [pdf]
[bibtex]
@InProceedings{Cheng_2016_CVPR,
author = {Cheng, De and Gong, Yihong and Zhou, Sanping and Wang, Jinjun and Zheng, Nanning},
title = {Person Re-Identification by Multi-Channel Parts-Based CNN With Improved Triplet Loss Function},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Top-Push Video-Based Person Re-Identification: Jinjie You,
Ancong Wu,
Xiang Li,
Wei-Shi Zheng; [pdf]
[bibtex]
@InProceedings{You_2016_CVPR,
author = {You, Jinjie and Wu, Ancong and Li, Xiang and Zheng, Wei-Shi},
title = {Top-Push Video-Based Person Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Improving Person Re-Identification via Pose-Aware Multi-Shot Matching: Yeong-Jun Cho,
Kuk-Jin Yoon; [pdf]
[bibtex]
@InProceedings{Cho_2016_CVPR,
author = {Cho, Yeong-Jun and Yoon, Kuk-Jin},
title = {Improving Person Re-Identification via Pose-Aware Multi-Shot Matching},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Hierarchical Gaussian Descriptor for Person Re-Identification: Tetsu Matsukawa,
Takahiro Okabe,
Einoshin Suzuki,
Yoichi Sato; [pdf]
[bibtex]
@InProceedings{Matsukawa_2016_CVPR,
author = {Matsukawa, Tetsu and Okabe, Takahiro and Suzuki, Einoshin and Sato, Yoichi},
title = {Hierarchical Gaussian Descriptor for Person Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
STCT: Sequentially Training Convolutional Networks for Visual Tracking: Lijun Wang,
Wanli Ouyang,
Xiaogang Wang,
Huchuan Lu; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Lijun and Ouyang, Wanli and Wang, Xiaogang and Lu, Huchuan},
title = {STCT: Sequentially Training Convolutional Networks for Visual Tracking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Determining Occlusions From Space and Time Image Reconstructions: Juan-Manuel Perez-Rua,
Tomas Crivelli,
Patrick Bouthemy,
Patrick Perez; [pdf]
[bibtex]
@InProceedings{Perez-Rua_2016_CVPR,
author = {Perez-Rua, Juan-Manuel and Crivelli, Tomas and Bouthemy, Patrick and Perez, Patrick},
title = {Determining Occlusions From Space and Time Image Reconstructions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Online Multi-Object Tracking via Structural Constraint Event Aggregation: Ju Hong Yoon,
Chang-Ryeol Lee,
Ming-Hsuan Yang,
Kuk-Jin Yoon; [pdf]
[bibtex]
@InProceedings{Yoon_2016_CVPR,
author = {Hong Yoon, Ju and Lee, Chang-Ryeol and Yang, Ming-Hsuan and Yoon, Kuk-Jin},
title = {Online Multi-Object Tracking via Structural Constraint Event Aggregation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Staple: Complementary Learners for Real-Time Tracking: Luca Bertinetto,
Jack Valmadre,
Stuart Golodetz,
Ondrej Miksik,
Philip H. S. Torr; [pdf]
[bibtex]
@InProceedings{Bertinetto_2016_CVPR,
author = {Bertinetto, Luca and Valmadre, Jack and Golodetz, Stuart and Miksik, Ondrej and Torr, Philip H. S.},
title = {Staple: Complementary Learners for Real-Time Tracking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Robust Optical Flow Estimation of Double-Layer Images Under Transparency or Reflection: Jiaolong Yang,
Hongdong Li,
Yuchao Dai,
Robby T. Tan; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Jiaolong and Li, Hongdong and Dai, Yuchao and Tan, Robby T.},
title = {Robust Optical Flow Estimation of Double-Layer Images Under Transparency or Reflection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Siamese Instance Search for Tracking: Ran Tao,
Efstratios Gavves,
Arnold W.M. Smeulders; [pdf]
[bibtex]
@InProceedings{Tao_2016_CVPR,
author = {Tao, Ran and Gavves, Efstratios and Smeulders, Arnold W.M.},
title = {Siamese Instance Search for Tracking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking: Martin Danelljan,
Gustav Hager,
Fahad Shahbaz Khan,
Michael Felsberg; [pdf]
[bibtex]
@InProceedings{Danelljan_2016_CVPR,
author = {Danelljan, Martin and Hager, Gustav and Shahbaz Khan, Fahad and Felsberg, Michael},
title = {Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
3D Part-Based Sparse Tracker With Automatic Synchronization and Registration: Adel Bibi,
Tianzhu Zhang,
Bernard Ghanem; [pdf]
[bibtex]
@InProceedings{Bibi_2016_CVPR,
author = {Bibi, Adel and Zhang, Tianzhu and Ghanem, Bernard},
title = {3D Part-Based Sparse Tracker With Automatic Synchronization and Registration},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recurrently Target-Attending Tracking: Zhen Cui,
Shengtao Xiao,
Jiashi Feng,
Shuicheng Yan; [pdf]
[bibtex]
@InProceedings{Cui_2016_CVPR,
author = {Cui, Zhen and Xiao, Shengtao and Feng, Jiashi and Yan, Shuicheng},
title = {Recurrently Target-Attending Tracking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Structured Regression Gradient Boosting: Ferran Diego,
Fred A. Hamprecht; [pdf]
[bibtex]
@InProceedings{Diego_2016_CVPR,
author = {Diego, Ferran and Hamprecht, Fred A.},
title = {Structured Regression Gradient Boosting},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Loss Functions for Top-k Error: Analysis and Insights: Maksim Lapin,
Matthias Hein,
Bernt Schiele; [pdf]
[bibtex]
@InProceedings{Lapin_2016_CVPR,
author = {Lapin, Maksim and Hein, Matthias and Schiele, Bernt},
title = {Loss Functions for Top-k Error: Analysis and Insights},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Metric Learning as Convex Combinations of Local Models With Generalization Guarantees: Valentina Zantedeschi,
Remi Emonet,
Marc Sebban; [pdf]
[bibtex]
@InProceedings{Zantedeschi_2016_CVPR,
author = {Zantedeschi, Valentina and Emonet, Remi and Sebban, Marc},
title = {Metric Learning as Convex Combinations of Local Models With Generalization Guarantees},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient Training of Very Deep Neural Networks for Supervised Hashing: Ziming Zhang,
Yuting Chen,
Venkatesh Saligrama; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Ziming and Chen, Yuting and Saligrama, Venkatesh},
title = {Efficient Training of Very Deep Neural Networks for Supervised Hashing},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Information Bottleneck Learning Using Privileged Information for Visual Recognition: Saeid Motiian,
Marco Piccirilli,
Donald A. Adjeroh,
Gianfranco Doretto; [pdf]
[bibtex]
@InProceedings{Motiian_2016_CVPR,
author = {Motiian, Saeid and Piccirilli, Marco and Adjeroh, Donald A. and Doretto, Gianfranco},
title = {Information Bottleneck Learning Using Privileged Information for Visual Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
3D Action Recognition From Novel Viewpoints: Hossein Rahmani,
Ajmal Mian; [pdf]
[bibtex]
@InProceedings{Rahmani_2016_CVPR,
author = {Rahmani, Hossein and Mian, Ajmal},
title = {3D Action Recognition From Novel Viewpoints},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
3D Shape Attributes: David F. Fouhey,
Abhinav Gupta,
Andrew Zisserman; [pdf]
[bibtex]
@InProceedings{Fouhey_2016_CVPR,
author = {Fouhey, David F. and Gupta, Abhinav and Zisserman, Andrew},
title = {3D Shape Attributes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients: Zhile Ren,
Erik B. Sudderth; [pdf]
[bibtex]
@InProceedings{Ren_2016_CVPR,
author = {Ren, Zhile and Sudderth, Erik B.},
title = {Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
3D Semantic Parsing of Large-Scale Indoor Spaces: Iro Armeni,
Ozan Sener,
Amir R. Zamir,
Helen Jiang,
Ioannis Brilakis,
Martin Fischer,
Silvio Savarese; [pdf]
[bibtex]
@InProceedings{Armeni_2016_CVPR,
author = {Armeni, Iro and Sener, Ozan and Zamir, Amir R. and Jiang, Helen and Brilakis, Ioannis and Fischer, Martin and Savarese, Silvio},
title = {3D Semantic Parsing of Large-Scale Indoor Spaces},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Dense Human Body Correspondences Using Convolutional Networks: Lingyu Wei,
Qixing Huang,
Duygu Ceylan,
Etienne Vouga,
Hao Li; [pdf]
[bibtex]
@InProceedings{Wei_2016_CVPR,
author = {Wei, Lingyu and Huang, Qixing and Ceylan, Duygu and Vouga, Etienne and Li, Hao},
title = {Dense Human Body Correspondences Using Convolutional Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Geometry-Informed Material Recognition: Joseph DeGol,
Mani Golparvar-Fard,
Derek Hoiem; [pdf]
[bibtex]
@InProceedings{DeGol_2016_CVPR,
author = {DeGol, Joseph and Golparvar-Fard, Mani and Hoiem, Derek},
title = {Geometry-Informed Material Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Towards Open Set Deep Networks: Abhijit Bendale,
Terrance E. Boult; [pdf]
[bibtex]
@InProceedings{Bendale_2016_CVPR,
author = {Bendale, Abhijit and Boult, Terrance E.},
title = {Towards Open Set Deep Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution: Peng Wang,
Lingqiao Liu,
Chunhua Shen,
Zi Huang,
Anton van den Hengel,
Heng Tao Shen; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Peng and Liu, Lingqiao and Shen, Chunhua and Huang, Zi and van den Hengel, Anton and Tao Shen, Heng},
title = {What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Large-Scale Location Recognition and the Geometric Burstiness Problem: Torsten Sattler,
Michal Havlena,
Konrad Schindler,
Marc Pollefeys; [pdf]
[bibtex]
@InProceedings{Sattler_2016_CVPR,
author = {Sattler, Torsten and Havlena, Michal and Schindler, Konrad and Pollefeys, Marc},
title = {Large-Scale Location Recognition and the Geometric Burstiness Problem},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Regularity-Driven Facade Matching Between Aerial and Street Views: Mark Wolff,
Robert T. Collins,
Yanxi Liu; [pdf]
[bibtex]
@InProceedings{Wolff_2016_CVPR,
author = {Wolff, Mark and Collins, Robert T. and Liu, Yanxi},
title = {Regularity-Driven Facade Matching Between Aerial and Street Views},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Do Computational Models Differ Systematically From Human Object Perception?: R. T. Pramod,
S. P. Arun; [pdf]
[bibtex]
@InProceedings{Pramod_2016_CVPR,
author = {Pramod, R. T. and Arun, S. P.},
title = {Do Computational Models Differ Systematically From Human Object Perception?},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Contour Detection in Unstructured 3D Point Clouds: Timo Hackel,
Jan D. Wegner,
Konrad Schindler; [pdf]
[bibtex]
@InProceedings{Hackel_2016_CVPR,
author = {Hackel, Timo and Wegner, Jan D. and Schindler, Konrad},
title = {Contour Detection in Unstructured 3D Point Clouds},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Unsupervised Learning of Edges: Yin Li,
Manohar Paluri,
James M. Rehg,
Piotr Dollar; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Yin and Paluri, Manohar and Rehg, James M. and Dollar, Piotr},
title = {Unsupervised Learning of Edges},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Blind Image Deblurring Using Dark Channel Prior: Jinshan Pan,
Deqing Sun,
Hanspeter Pfister,
Ming-Hsuan Yang; [pdf]
[bibtex]
@InProceedings{Pan_2016_CVPR,
author = {Pan, Jinshan and Sun, Deqing and Pfister, Hanspeter and Yang, Ming-Hsuan},
title = {Blind Image Deblurring Using Dark Channel Prior},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deeply-Recursive Convolutional Network for Image Super-Resolution: Jiwon Kim,
Jung Kwon Lee,
Kyoung Mu Lee; [pdf]
[bibtex]
@InProceedings{Kim_2016_CVPR,
author = {Kim, Jiwon and Kwon Lee, Jung and Mu Lee, Kyoung},
title = {Deeply-Recursive Convolutional Network for Image Super-Resolution},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Accurate Image Super-Resolution Using Very Deep Convolutional Networks: Jiwon Kim,
Jung Kwon Lee,
Kyoung Mu Lee; [pdf]
[bibtex]
@InProceedings{Kim_2016_CVPR,
author = {Kim, Jiwon and Kwon Lee, Jung and Mu Lee, Kyoung},
title = {Accurate Image Super-Resolution Using Very Deep Convolutional Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
RAW Image Reconstruction Using a Self-Contained sRGB-JPEG Image With Only 64 KB Overhead: Rang M. H. Nguyen,
Michael S. Brown; [pdf]
[bibtex]
@InProceedings{Nguyen_2016_CVPR,
author = {Nguyen, Rang M. H. and Brown, Michael S.},
title = {RAW Image Reconstruction Using a Self-Contained sRGB-JPEG Image With Only 64 KB Overhead},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Group MAD Competition - A New Methodology to Compare Objective Image Quality Models: Kede Ma,
Qingbo Wu,
Zhou Wang,
Zhengfang Duanmu,
Hongwei Yong,
Hongliang Li,
Lei Zhang; [pdf]
[bibtex]
@InProceedings{Ma_2016_CVPR,
author = {Ma, Kede and Wu, Qingbo and Wang, Zhou and Duanmu, Zhengfang and Yong, Hongwei and Li, Hongliang and Zhang, Lei},
title = {Group MAD Competition - A New Methodology to Compare Objective Image Quality Models},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Non-Local Image Dehazing: Dana Berman,
Tali treibitz,
Shai Avidan; [pdf]
[bibtex]
@InProceedings{Berman_2016_CVPR,
author = {Berman, Dana and treibitz, Tali and Avidan, Shai},
title = {Non-Local Image Dehazing},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising: Seonghyeon Nam,
Youngbae Hwang,
Yasuyuki Matsushita,
Seon Joo Kim; [pdf]
[bibtex]
@InProceedings{Nam_2016_CVPR,
author = {Nam, Seonghyeon and Hwang, Youngbae and Matsushita, Yasuyuki and Joo Kim, Seon},
title = {A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization: Qi Xie,
Qian Zhao,
Deyu Meng,
Zongben Xu,
Shuhang Gu,
Wangmeng Zuo,
Lei Zhang; [pdf]
[bibtex]
@InProceedings{Xie_2016_CVPR,
author = {Xie, Qi and Zhao, Qian and Meng, Deyu and Xu, Zongben and Gu, Shuhang and Zuo, Wangmeng and Zhang, Lei},
title = {Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Comparative Study for Single Image Blind Deblurring: Wei-Sheng Lai,
Jia-Bin Huang,
Zhe Hu,
Narendra Ahuja,
Ming-Hsuan Yang; [pdf]
[bibtex]
@InProceedings{Lai_2016_CVPR,
author = {Lai, Wei-Sheng and Huang, Jia-Bin and Hu, Zhe and Ahuja, Narendra and Yang, Ming-Hsuan},
title = {A Comparative Study for Single Image Blind Deblurring},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Spatiotemporal Bundle Adjustment for Dynamic 3D Reconstruction: Minh Vo,
Srinivasa G. Narasimhan,
Yaser Sheikh; [pdf]
[bibtex]
@InProceedings{Vo_2016_CVPR,
author = {Vo, Minh and Narasimhan, Srinivasa G. and Sheikh, Yaser},
title = {Spatiotemporal Bundle Adjustment for Dynamic 3D Reconstruction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Inextensible Non-Rigid Shape-From-Motion by Second-Order Cone Programming: Ajad Chhatkuli,
Daniel Pizarro,
Toby Collins,
Adrien Bartoli; [pdf]
[bibtex]
@InProceedings{Chhatkuli_2016_CVPR,
author = {Chhatkuli, Ajad and Pizarro, Daniel and Collins, Toby and Bartoli, Adrien},
title = {Inextensible Non-Rigid Shape-From-Motion by Second-Order Cone Programming},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Optimal Relative Pose With Unknown Correspondences: Johan Fredriksson,
Viktor Larsson,
Carl Olsson,
Fredrik Kahl; [pdf]
[bibtex]
@InProceedings{Fredriksson_2016_CVPR,
author = {Fredriksson, Johan and Larsson, Viktor and Olsson, Carl and Kahl, Fredrik},
title = {Optimal Relative Pose With Unknown Correspondences},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Homography Estimation From the Common Self-Polar Triangle of Separate Ellipses: Haifei Huang,
Hui Zhang,
Yiu-ming Cheung; [pdf]
[bibtex]
@InProceedings{Huang_2016_CVPR,
author = {Huang, Haifei and Zhang, Hui and Cheung, Yiu-ming},
title = {Homography Estimation From the Common Self-Polar Triangle of Separate Ellipses},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Heterogeneous Light Fields: Maximilian Diebold,
Bernd Jahne,
Alexander Gatto; [pdf]
[bibtex]
@InProceedings{Diebold_2016_CVPR,
author = {Diebold, Maximilian and Jahne, Bernd and Gatto, Alexander},
title = {Heterogeneous Light Fields},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Consensus-Based Framework for Distributed Bundle Adjustment: Anders Eriksson,
John Bastian,
Tat-Jun Chin,
Mats Isaksson; [pdf]
[bibtex]
@InProceedings{Eriksson_2016_CVPR,
author = {Eriksson, Anders and Bastian, John and Chin, Tat-Jun and Isaksson, Mats},
title = {A Consensus-Based Framework for Distributed Bundle Adjustment},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Globally Optimal Manhattan Frame Estimation in Real-Time: Kyungdon Joo,
Tae-Hyun Oh,
Junsik Kim,
In So Kweon; [pdf]
[bibtex]
@InProceedings{Joo_2016_CVPR,
author = {Joo, Kyungdon and Oh, Tae-Hyun and Kim, Junsik and So Kweon, In},
title = {Globally Optimal Manhattan Frame Estimation in Real-Time},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Mirror Surface Reconstruction Under an Uncalibrated Camera: Kai Han,
Kwan-Yee K. Wong,
Dirk Schnieders,
Miaomiao Liu; [pdf]
[bibtex]
@InProceedings{Han_2016_CVPR,
author = {Han, Kai and Wong, Kwan-Yee K. and Schnieders, Dirk and Liu, Miaomiao},
title = {Mirror Surface Reconstruction Under an Uncalibrated Camera},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video: Guibo Luo,
Yuesheng Zhu,
Zhaotian Li,
Liming Zhang; [pdf]
[bibtex]
@InProceedings{Luo_2016_CVPR,
author = {Luo, Guibo and Zhu, Yuesheng and Li, Zhaotian and Zhang, Liming},
title = {A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Direct Least-Squares Solution to the PnP Problem With Unknown Focal Length: Yinqiang Zheng,
Laurent Kneip; [pdf]
[bibtex]
@InProceedings{Zheng_2016_CVPR,
author = {Zheng, Yinqiang and Kneip, Laurent},
title = {A Direct Least-Squares Solution to the PnP Problem With Unknown Focal Length},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient Intersection of Three Quadrics and Applications in Computer Vision: Zuzana Kukelova,
Jan Heller,
Andrew Fitzgibbon; [pdf]
[bibtex]
@InProceedings{Kukelova_2016_CVPR,
author = {Kukelova, Zuzana and Heller, Jan and Fitzgibbon, Andrew},
title = {Efficient Intersection of Three Quadrics and Applications in Computer Vision},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Using Spatial Order to Boost the Elimination of Incorrect Feature Matches: Lior Talker,
Yael Moses,
Ilan Shimshoni; [pdf]
[bibtex]
@InProceedings{Talker_2016_CVPR,
author = {Talker, Lior and Moses, Yael and Shimshoni, Ilan},
title = {Using Spatial Order to Boost the Elimination of Incorrect Feature Matches},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Probabilistic Framework for Color-Based Point Set Registration: Martin Danelljan,
Giulia Meneghetti,
Fahad Shahbaz Khan,
Michael Felsberg; [pdf]
[bibtex]
@InProceedings{Danelljan_2016_CVPR,
author = {Danelljan, Martin and Meneghetti, Giulia and Shahbaz Khan, Fahad and Felsberg, Michael},
title = {A Probabilistic Framework for Color-Based Point Set Registration},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Blind Image Deconvolution by Automatic Gradient Activation: Dong Gong,
Mingkui Tan,
Yanning Zhang,
Anton van den Hengel,
Qinfeng Shi; [pdf]
[bibtex]
@InProceedings{Gong_2016_CVPR,
author = {Gong, Dong and Tan, Mingkui and Zhang, Yanning and van den Hengel, Anton and Shi, Qinfeng},
title = {Blind Image Deconvolution by Automatic Gradient Activation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
PSyCo: Manifold Span Reduction for Super Resolution: Eduardo Perez-Pellitero,
Jordi Salvador,
Javier Ruiz-Hidalgo,
Bodo Rosenhahn; [pdf]
[bibtex]
@InProceedings{Perez-Pellitero_2016_CVPR,
author = {Perez-Pellitero, Eduardo and Salvador, Jordi and Ruiz-Hidalgo, Javier and Rosenhahn, Bodo},
title = {PSyCo: Manifold Span Reduction for Super Resolution},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Parametric Object Motion From Blur: Jochen Gast,
Anita Sellent,
Stefan Roth; [pdf]
[bibtex]
@InProceedings{Gast_2016_CVPR,
author = {Gast, Jochen and Sellent, Anita and Roth, Stefan},
title = {Parametric Object Motion From Blur},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Image Deblurring Using Smartphone Inertial Sensors: Zhe Hu,
Lu Yuan,
Stephen Lin,
Ming-Hsuan Yang; [pdf]
[bibtex]
@InProceedings{Hu_2016_CVPR,
author = {Hu, Zhe and Yuan, Lu and Lin, Stephen and Yang, Ming-Hsuan},
title = {Image Deblurring Using Smartphone Inertial Sensors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Seven Ways to Improve Example-Based Single Image Super Resolution: Radu Timofte,
Rasmus Rothe,
Luc Van Gool; [pdf]
[bibtex]
@InProceedings{Timofte_2016_CVPR,
author = {Timofte, Radu and Rothe, Rasmus and Van Gool, Luc},
title = {Seven Ways to Improve Example-Based Single Image Super Resolution},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network: Wenzhe Shi,
Jose Caballero,
Ferenc Huszar,
Johannes Totz,
Andrew P. Aitken,
Rob Bishop,
Daniel Rueckert,
Zehan Wang; [pdf]
[bibtex]
@InProceedings{Shi_2016_CVPR,
author = {Shi, Wenzhe and Caballero, Jose and Huszar, Ferenc and Totz, Johannes and Aitken, Andrew P. and Bishop, Rob and Rueckert, Daniel and Wang, Zehan},
title = {Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
They Are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers: Xiaojun Chang,
Yao-Liang Yu,
Yi Yang,
Eric P. Xing; [pdf]
[bibtex]
@InProceedings{Chang_2016_CVPR,
author = {Chang, Xiaojun and Yu, Yao-Liang and Yang, Yi and Xing, Eric P.},
title = {They Are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Going Deeper into First-Person Activity Recognition: Minghuang Ma,
Haoqi Fan,
Kris M. Kitani; [pdf]
[bibtex]
@InProceedings{Ma_2016_CVPR,
author = {Ma, Minghuang and Fan, Haoqi and Kitani, Kris M.},
title = {Going Deeper into First-Person Activity Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Cascaded Interactional Targeting Network for Egocentric Video Analysis: Yang Zhou,
Bingbing Ni,
Richang Hong,
Xiaokang Yang,
Qi Tian; [pdf]
[bibtex]
@InProceedings{Zhou_2016_CVPR,
author = {Zhou, Yang and Ni, Bingbing and Hong, Richang and Yang, Xiaokang and Tian, Qi},
title = {Cascaded Interactional Targeting Network for Egocentric Video Analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos: Fabian Caba Heilbron,
Juan Carlos Niebles,
Bernard Ghanem; [pdf]
[bibtex]
@InProceedings{Heilbron_2016_CVPR,
author = {Caba Heilbron, Fabian and Carlos Niebles, Juan and Ghanem, Bernard},
title = {Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Discriminative Hierarchical Rank Pooling for Activity Recognition: Basura Fernando,
Peter Anderson,
Marcus Hutter,
Stephen Gould; [pdf]
[bibtex]
@InProceedings{Fernando_2016_CVPR,
author = {Fernando, Basura and Anderson, Peter and Hutter, Marcus and Gould, Stephen},
title = {Discriminative Hierarchical Rank Pooling for Activity Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Convolutional Two-Stream Network Fusion for Video Action Recognition: Christoph Feichtenhofer,
Axel Pinz,
Andrew Zisserman; [pdf]
[bibtex]
@InProceedings{Feichtenhofer_2016_CVPR,
author = {Feichtenhofer, Christoph and Pinz, Axel and Zisserman, Andrew},
title = {Convolutional Two-Stream Network Fusion for Video Action Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Activity Progression in LSTMs for Activity Detection and Early Detection: Shugao Ma,
Leonid Sigal,
Stan Sclaroff; [pdf]
[bibtex]
@InProceedings{Ma_2016_CVPR,
author = {Ma, Shugao and Sigal, Leonid and Sclaroff, Stan},
title = {Learning Activity Progression in LSTMs for Activity Detection and Early Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
VLAD3: Encoding Dynamics of Deep Features for Action Recognition: Yingwei Li,
Weixin Li,
Vijay Mahadevan,
Nuno Vasconcelos; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Yingwei and Li, Weixin and Mahadevan, Vijay and Vasconcelos, Nuno},
title = {VLAD3: Encoding Dynamics of Deep Features for Action Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection: Bharat Singh,
Tim K. Marks,
Michael Jones,
Oncel Tuzel,
Ming Shao; [pdf]
[bibtex]
@InProceedings{Singh_2016_CVPR,
author = {Singh, Bharat and Marks, Tim K. and Jones, Michael and Tuzel, Oncel and Shao, Ming},
title = {A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Hierarchical Deep Temporal Model for Group Activity Recognition: Mostafa S. Ibrahim,
Srikanth Muralidharan,
Zhiwei Deng,
Arash Vahdat,
Greg Mori; [pdf]
[bibtex]
@InProceedings{Ibrahim_2016_CVPR,
author = {Ibrahim, Mostafa S. and Muralidharan, Srikanth and Deng, Zhiwei and Vahdat, Arash and Mori, Greg},
title = {A Hierarchical Deep Temporal Model for Group Activity Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets: Ivan Lillo,
Juan Carlos Niebles,
Alvaro Soto; [pdf]
[bibtex]
@InProceedings{Lillo_2016_CVPR,
author = {Lillo, Ivan and Carlos Niebles, Juan and Soto, Alvaro},
title = {A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Key Volume Mining Deep Framework for Action Recognition: Wangjiang Zhu,
Jie Hu,
Gang Sun,
Xudong Cao,
Yu Qiao; [pdf]
[bibtex]
@InProceedings{Zhu_2016_CVPR,
author = {Zhu, Wangjiang and Hu, Jie and Sun, Gang and Cao, Xudong and Qiao, Yu},
title = {A Key Volume Mining Deep Framework for Action Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Improved Hamming Distance Search Using Variable Length Substrings: Eng-Jon Ong,
Miroslaw Bober; [pdf]
[bibtex]
@InProceedings{Ong_2016_CVPR,
author = {Ong, Eng-Jon and Bober, Miroslaw},
title = {Improved Hamming Distance Search Using Variable Length Substrings},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Shortlist Selection With Residual-Aware Distance Estimator for K-Nearest Neighbor Search: Jae-Pil Heo,
Zhe Lin,
Xiaohui Shen,
Jonathan Brandt,
Sung-eui Yoon; [pdf]
[bibtex]
@InProceedings{Heo_2016_CVPR,
author = {Heo, Jae-Pil and Lin, Zhe and Shen, Xiaohui and Brandt, Jonathan and Yoon, Sung-eui},
title = {Shortlist Selection With Residual-Aware Distance Estimator for K-Nearest Neighbor Search},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Supervised Quantization for Similarity Search: Xiaojuan Wang,
Ting Zhang,
Guo-Jun Qi,
Jinhui Tang,
Jingdong Wang; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Xiaojuan and Zhang, Ting and Qi, Guo-Jun and Tang, Jinhui and Wang, Jingdong},
title = {Supervised Quantization for Similarity Search },
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU: Patrick Wieschollek,
Oliver Wang,
Alexander Sorkine-Hornung,
Hendrik P. A. Lensch; [pdf]
[bibtex]
@InProceedings{Wieschollek_2016_CVPR,
author = {Wieschollek, Patrick and Wang, Oliver and Sorkine-Hornung, Alexander and Lensch, Hendrik P. A.},
title = {Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Collaborative Quantization for Cross-Modal Similarity Search: Ting Zhang,
Jingdong Wang; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Ting and Wang, Jingdong},
title = {Collaborative Quantization for Cross-Modal Similarity Search},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Aggregating Image and Text Quantized Correlated Components: Thi Quynh Nhi Tran,
Herve Le Borgne,
Michel Crucianu; [pdf]
[bibtex]
@InProceedings{Tran_2016_CVPR,
author = {Quynh Nhi Tran, Thi and Le Borgne, Herve and Crucianu, Michel},
title = {Aggregating Image and Text Quantized Correlated Components},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient Indexing of Billion-Scale Datasets of Deep Descriptors: Artem Babenko,
Victor Lempitsky; [pdf]
[bibtex]
@InProceedings{Babenko_2016_CVPR,
author = {Babenko, Artem and Lempitsky, Victor},
title = {Efficient Indexing of Billion-Scale Datasets of Deep Descriptors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Supervised Hashing for Fast Image Retrieval: Haomiao Liu,
Ruiping Wang,
Shiguang Shan,
Xilin Chen; [pdf]
[bibtex]
@InProceedings{Liu_2016_CVPR,
author = {Liu, Haomiao and Wang, Ruiping and Shan, Shiguang and Chen, Xilin},
title = {Deep Supervised Hashing for Fast Image Retrieval},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient Large-Scale Similarity Search Using Matrix Factorization: Ahmet Iscen,
Michael Rabbat,
Teddy Furon; [pdf]
[bibtex]
@InProceedings{Iscen_2016_CVPR,
author = {Iscen, Ahmet and Rabbat, Michael and Furon, Teddy},
title = {Efficient Large-Scale Similarity Search Using Matrix Factorization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Incremental Object Discovery in Time-Varying Image Collections: Theodora Kontogianni,
Markus Mathias,
Bastian Leibe; [pdf]
[bibtex]
@InProceedings{Kontogianni_2016_CVPR,
author = {Kontogianni, Theodora and Mathias, Markus and Leibe, Bastian},
title = {Incremental Object Discovery in Time-Varying Image Collections},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Detecting Migrating Birds at Night: Jia-Bin Huang,
Rich Caruana,
Andrew Farnsworth,
Steve Kelling,
Narendra Ahuja; [pdf]
[bibtex]
@InProceedings{Huang_2016_CVPR,
author = {Huang, Jia-Bin and Caruana, Rich and Farnsworth, Andrew and Kelling, Steve and Ahuja, Narendra},
title = {Detecting Migrating Birds at Night},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
When Naive Bayes Nearest Neighbors Meet Convolutional Neural Networks: Ilja Kuzborskij,
Fabio Maria Carlucci,
Barbara Caputo; [pdf]
[bibtex]
@InProceedings{Kuzborskij_2016_CVPR,
author = {Kuzborskij, Ilja and Maria Carlucci, Fabio and Caputo, Barbara},
title = {When Naive Bayes Nearest Neighbors Meet Convolutional Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Traffic-Sign Detection and Classification in the Wild: Zhe Zhu,
Dun Liang,
Songhai Zhang,
Xiaolei Huang,
Baoli Li,
Shimin Hu; [pdf]
[bibtex]
@InProceedings{Zhu_2016_CVPR,
author = {Zhu, Zhe and Liang, Dun and Zhang, Songhai and Huang, Xiaolei and Li, Baoli and Hu, Shimin},
title = {Traffic-Sign Detection and Classification in the Wild},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer: Yuxing Tang,
Josiah Wang,
Boyang Gao,
Emmanuel Dellandrea,
Robert Gaizauskas,
Liming Chen; [pdf]
[bibtex]
@InProceedings{Tang_2016_CVPR,
author = {Tang, Yuxing and Wang, Josiah and Gao, Boyang and Dellandrea, Emmanuel and Gaizauskas, Robert and Chen, Liming},
title = {Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Exploit All the Layers: Fast and Accurate CNN Object Detector With Scale Dependent Pooling and Cascaded Rejection Classifiers: Fan Yang,
Wongun Choi,
Yuanqing Lin; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Fan and Choi, Wongun and Lin, Yuanqing},
title = {Exploit All the Layers: Fast and Accurate CNN Object Detector With Scale Dependent Pooling and Cascaded Rejection Classifiers},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection: Keze Wang,
Liang Lin,
Wangmeng Zuo,
Shuhang Gu,
Lei Zhang; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Keze and Lin, Liang and Zuo, Wangmeng and Gu, Shuhang and Zhang, Lei},
title = {Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Monocular 3D Object Detection for Autonomous Driving: Xiaozhi Chen,
Kaustav Kundu,
Ziyu Zhang,
Huimin Ma,
Sanja Fidler,
Raquel Urtasun; [pdf]
[bibtex]
@InProceedings{Chen_2016_CVPR,
author = {Chen, Xiaozhi and Kundu, Kaustav and Zhang, Ziyu and Ma, Huimin and Fidler, Sanja and Urtasun, Raquel},
title = {Monocular 3D Object Detection for Autonomous Driving},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image: Radu Tudor Ionescu,
Bogdan Alexe,
Marius Leordeanu,
Marius Popescu,
Dim P. Papadopoulos,
Vittorio Ferrari; [pdf]
[bibtex]
@InProceedings{Ionescu_2016_CVPR,
author = {Tudor Ionescu, Radu and Alexe, Bogdan and Leordeanu, Marius and Popescu, Marius and Papadopoulos, Dim P. and Ferrari, Vittorio},
title = {How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles: Hongye Liu,
Yonghong Tian,
Yaowei Yang,
Lu Pang,
Tiejun Huang; [pdf]
[bibtex]
@InProceedings{Liu_2016_CVPR,
author = {Liu, Hongye and Tian, Yonghong and Yang, Yaowei and Pang, Lu and Huang, Tiejun},
title = {Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Eye Tracking for Everyone: Kyle Krafka,
Aditya Khosla,
Petr Kellnhofer,
Harini Kannan,
Suchendra Bhandarkar,
Wojciech Matusik,
Antonio Torralba; [pdf]
[bibtex]
@InProceedings{Krafka_2016_CVPR,
author = {Krafka, Kyle and Khosla, Aditya and Kellnhofer, Petr and Kannan, Harini and Bhandarkar, Suchendra and Matusik, Wojciech and Torralba, Antonio},
title = {Eye Tracking for Everyone},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient Globally Optimal 2D-To-3D Deformable Shape Matching: Zorah Lahner,
Emanuele Rodola,
Frank R. Schmidt,
Michael M. Bronstein,
Daniel Cremers; [pdf]
[bibtex]
@InProceedings{Lahner_2016_CVPR,
author = {Lahner, Zorah and Rodola, Emanuele and Schmidt, Frank R. and Bronstein, Michael M. and Cremers, Daniel},
title = {Efficient Globally Optimal 2D-To-3D Deformable Shape Matching},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Ambiguity Helps: Classification With Disagreements in Crowdsourced Annotations: Viktoriia Sharmanska,
Daniel Hernandez-Lobato,
Jose Miguel Hernandez-Lobato,
Novi Quadrianto; [pdf]
[bibtex]
@InProceedings{Sharmanska_2016_CVPR,
author = {Sharmanska, Viktoriia and Hernandez-Lobato, Daniel and Miguel Hernandez-Lobato, Jose and Quadrianto, Novi},
title = {Ambiguity Helps: Classification With Disagreements in Crowdsourced Annotations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Task-Oriented Approach for Cost-Sensitive Recognition: Roozbeh Mottaghi,
Hannaneh Hajishirzi,
Ali Farhadi; [pdf]
[bibtex]
@InProceedings{Mottaghi_2016_CVPR,
author = {Mottaghi, Roozbeh and Hajishirzi, Hannaneh and Farhadi, Ali},
title = {A Task-Oriented Approach for Cost-Sensitive Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Refining Architectures of Deep Convolutional Neural Networks: Sukrit Shankar,
Duncan Robertson,
Yani Ioannou,
Antonio Criminisi,
Roberto Cipolla; [pdf]
[bibtex]
@InProceedings{Shankar_2016_CVPR,
author = {Shankar, Sukrit and Robertson, Duncan and Ioannou, Yani and Criminisi, Antonio and Cipolla, Roberto},
title = {Refining Architectures of Deep Convolutional Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning: Ali Borji,
Saeed Izadi,
Laurent Itti; [pdf]
[bibtex]
@InProceedings{Borji_2016_CVPR,
author = {Borji, Ali and Izadi, Saeed and Itti, Laurent},
title = {iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recursive Recurrent Nets With Attention Modeling for OCR in the Wild: Chen-Yu Lee,
Simon Osindero; [pdf]
[bibtex]
@InProceedings{Lee_2016_CVPR,
author = {Lee, Chen-Yu and Osindero, Simon},
title = {Recursive Recurrent Nets With Attention Modeling for OCR in the Wild},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Decision Network for Multi-Class Image Classification: Venkatesh N. Murthy,
Vivek Singh,
Terrence Chen,
R. Manmatha,
Dorin Comaniciu; [pdf]
[bibtex]
@InProceedings{Murthy_2016_CVPR,
author = {Murthy, Venkatesh N. and Singh, Vivek and Chen, Terrence and Manmatha, R. and Comaniciu, Dorin},
title = {Deep Decision Network for Multi-Class Image Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Less Is More: Zero-Shot Learning From Online Textual Documents With Noise Suppression: Ruizhi Qiao,
Lingqiao Liu,
Chunhua Shen,
Anton van den Hengel; [pdf]
[bibtex]
@InProceedings{Qiao_2016_CVPR,
author = {Qiao, Ruizhi and Liu, Lingqiao and Shen, Chunhua and van den Hengel, Anton},
title = {Less Is More: Zero-Shot Learning From Online Textual Documents With Noise Suppression},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Fast Algorithms for Linear and Kernel SVM+: Wen Li,
Dengxin Dai,
Mingkui Tan,
Dong Xu,
Luc Van Gool; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Wen and Dai, Dengxin and Tan, Mingkui and Xu, Dong and Van Gool, Luc},
title = {Fast Algorithms for Linear and Kernel SVM+},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Hierarchically Gated Deep Networks for Semantic Segmentation: Guo-Jun Qi; [pdf]
[bibtex]
@InProceedings{Qi_2016_CVPR,
author = {Qi, Guo-Jun},
title = {Hierarchically Gated Deep Networks for Semantic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Structured Scene Parsing by Learning With Image Descriptions: Liang Lin,
Guangrun Wang,
Rui Zhang,
Ruimao Zhang,
Xiaodan Liang,
Wangmeng Zuo; [pdf]
[bibtex]
@InProceedings{Lin_2016_CVPR,
author = {Lin, Liang and Wang, Guangrun and Zhang, Rui and Zhang, Ruimao and Liang, Xiaodan and Zuo, Wangmeng},
title = {Deep Structured Scene Parsing by Learning With Image Descriptions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
CNN-RNN: A Unified Framework for Multi-Label Image Classification: Jiang Wang,
Yi Yang,
Junhua Mao,
Zhiheng Huang,
Chang Huang,
Wei Xu; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Jiang and Yang, Yi and Mao, Junhua and Huang, Zhiheng and Huang, Chang and Xu, Wei},
title = {CNN-RNN: A Unified Framework for Multi-Label Image Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Walk and Learn: Facial Attribute Representation Learning From Egocentric Video and Contextual Data: Jing Wang,
Yu Cheng,
Rogerio Schmidt Feris; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Jing and Cheng, Yu and Schmidt Feris, Rogerio},
title = {Walk and Learn: Facial Attribute Representation Learning From Egocentric Video and Contextual Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
CNN-N-Gram for Handwriting Word Recognition: Arik Poznanski,
Lior Wolf; [pdf]
[bibtex]
@InProceedings{Poznanski_2016_CVPR,
author = {Poznanski, Arik and Wolf, Lior},
title = {CNN-N-Gram for Handwriting Word Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Synthetic Data for Text Localisation in Natural Images: Ankush Gupta,
Andrea Vedaldi,
Andrew Zisserman; [pdf]
[bibtex]
@InProceedings{Gupta_2016_CVPR,
author = {Gupta, Ankush and Vedaldi, Andrea and Zisserman, Andrew},
title = {Synthetic Data for Text Localisation in Natural Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
End-To-End People Detection in Crowded Scenes: Russell Stewart,
Mykhaylo Andriluka,
Andrew Y. Ng; [pdf]
[bibtex]
@InProceedings{Stewart_2016_CVPR,
author = {Stewart, Russell and Andriluka, Mykhaylo and Ng, Andrew Y.},
title = {End-To-End People Detection in Crowded Scenes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Real-Time Salient Object Detection With a Minimum Spanning Tree: Wei-Chih Tu,
Shengfeng He,
Qingxiong Yang,
Shao-Yi Chien; [pdf]
[bibtex]
@InProceedings{Tu_2016_CVPR,
author = {Tu, Wei-Chih and He, Shengfeng and Yang, Qingxiong and Chien, Shao-Yi},
title = {Real-Time Salient Object Detection With a Minimum Spanning Tree},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Local Background Enclosure for RGB-D Salient Object Detection: David Feng,
Nick Barnes,
Shaodi You,
Chris McCarthy; [pdf]
[bibtex]
@InProceedings{Feng_2016_CVPR,
author = {Feng, David and Barnes, Nick and You, Shaodi and McCarthy, Chris},
title = {Local Background Enclosure for RGB-D Salient Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Adaptive Object Detection Using Adjacency and Zoom Prediction: Yongxi Lu,
Tara Javidi,
Svetlana Lazebnik; [pdf]
[bibtex]
@InProceedings{Lu_2016_CVPR,
author = {Lu, Yongxi and Javidi, Tara and Lazebnik, Svetlana},
title = {Adaptive Object Detection Using Adjacency and Zoom Prediction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Semantic Channels for Fast Pedestrian Detection: Arthur Daniel Costea,
Sergiu Nedevschi; [pdf]
[bibtex]
@InProceedings{Costea_2016_CVPR,
author = {Daniel Costea, Arthur and Nedevschi, Sergiu},
title = {Semantic Channels for Fast Pedestrian Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
G-CNN: An Iterative Grid Based Object Detector: Mahyar Najibi,
Mohammad Rastegari,
Larry S. Davis; [pdf]
[bibtex]
@InProceedings{Najibi_2016_CVPR,
author = {Najibi, Mahyar and Rastegari, Mohammad and Davis, Larry S.},
title = {G-CNN: An Iterative Grid Based Object Detector},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recurrent Face Aging: Wei Wang,
Zhen Cui,
Yan Yan,
Jiashi Feng,
Shuicheng Yan,
Xiangbo Shu,
Nicu Sebe; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Wei and Cui, Zhen and Yan, Yan and Feng, Jiashi and Yan, Shuicheng and Shu, Xiangbo and Sebe, Nicu},
title = {Recurrent Face Aging},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos: Justus Thies,
Michael Zollhofer,
Marc Stamminger,
Christian Theobalt,
Matthias Niessner; [pdf]
[bibtex]
@InProceedings{Thies_2016_CVPR,
author = {Thies, Justus and Zollhofer, Michael and Stamminger, Marc and Theobalt, Christian and Niessner, Matthias},
title = {Face2Face: Real-Time Face Capture and Reenactment of RGB Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Self-Adaptive Matrix Completion for Heart Rate Estimation From Face Videos Under Realistic Conditions: Sergey Tulyakov,
Xavier Alameda-Pineda,
Elisa Ricci,
Lijun Yin,
Jeffrey F. Cohn,
Nicu Sebe; [pdf]
[bibtex]
@InProceedings{Tulyakov_2016_CVPR,
author = {Tulyakov, Sergey and Alameda-Pineda, Xavier and Ricci, Elisa and Yin, Lijun and Cohn, Jeffrey F. and Sebe, Nicu},
title = {Self-Adaptive Matrix Completion for Heart Rate Estimation From Face Videos Under Realistic Conditions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Visually Indicated Sounds: Andrew Owens,
Phillip Isola,
Josh McDermott,
Antonio Torralba,
Edward H. Adelson,
William T. Freeman; [pdf]
[bibtex]
@InProceedings{Owens_2016_CVPR,
author = {Owens, Andrew and Isola, Phillip and McDermott, Josh and Torralba, Antonio and Adelson, Edward H. and Freeman, William T.},
title = {Visually Indicated Sounds},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Image Style Transfer Using Convolutional Neural Networks: Leon A. Gatys,
Alexander S. Ecker,
Matthias Bethge; [pdf]
[bibtex]
@InProceedings{Gatys_2016_CVPR,
author = {Gatys, Leon A. and Ecker, Alexander S. and Bethge, Matthias},
title = {Image Style Transfer Using Convolutional Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification: Le Hou,
Dimitris Samaras,
Tahsin M. Kurc,
Yi Gao,
James E. Davis,
Joel H. Saltz; [pdf]
[bibtex]
@InProceedings{Hou_2016_CVPR,
author = {Hou, Le and Samaras, Dimitris and Kurc, Tahsin M. and Gao, Yi and Davis, James E. and Saltz, Joel H.},
title = {Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Hedgehog Shape Priors for Multi-Object Segmentation: Hossam Isack,
Olga Veksler,
Milan Sonka,
Yuri Boykov; [pdf]
[bibtex]
@InProceedings{Isack_2016_CVPR,
author = {Isack, Hossam and Veksler, Olga and Sonka, Milan and Boykov, Yuri},
title = {Hedgehog Shape Priors for Multi-Object Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP): Won Hwa Kim,
Hyunwoo J. Kim,
Nagesh Adluru,
Vikas Singh; [pdf]
[bibtex]
@InProceedings{Kim_2016_CVPR,
author = {Hwa Kim, Won and Kim, Hyunwoo J. and Adluru, Nagesh and Singh, Vikas},
title = {Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP)},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry: Gyeongmin Choe,
Srinivasa G. Narasimhan,
In So Kweon; [pdf]
[bibtex]
@InProceedings{Choe_2016_CVPR,
author = {Choe, Gyeongmin and Narasimhan, Srinivasa G. and So Kweon, In},
title = {Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Do It Yourself Hyperspectral Imaging With Everyday Digital Cameras: Seoung Wug Oh,
Michael S. Brown,
Marc Pollefeys,
Seon Joo Kim; [pdf]
[bibtex]
@InProceedings{Oh_2016_CVPR,
author = {Wug Oh, Seoung and Brown, Michael S. and Pollefeys, Marc and Joo Kim, Seon},
title = {Do It Yourself Hyperspectral Imaging With Everyday Digital Cameras},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Automatic Content-Aware Color and Tone Stylization: Joon-Young Lee,
Kalyan Sunkavalli,
Zhe Lin,
Xiaohui Shen,
In So Kweon; [pdf]
[bibtex]
@InProceedings{Lee_2016_CVPR,
author = {Lee, Joon-Young and Sunkavalli, Kalyan and Lin, Zhe and Shen, Xiaohui and So Kweon, In},
title = {Automatic Content-Aware Color and Tone Stylization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis: Chuan Li,
Michael Wand; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Chuan and Wand, Michael},
title = {Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation: Hao Chen,
Xiaojuan Qi,
Lequan Yu,
Pheng-Ann Heng; [pdf]
[bibtex]
@InProceedings{Chen_2016_CVPR,
author = {Chen, Hao and Qi, Xiaojuan and Yu, Lequan and Heng, Pheng-Ann},
title = {DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation: Hoo-Chang Shin,
Kirk Roberts,
Le Lu,
Dina Demner-Fushman,
Jianhua Yao,
Ronald M. Summers; [pdf]
[bibtex]
@InProceedings{Shin_2016_CVPR,
author = {Shin, Hoo-Chang and Roberts, Kirk and Lu, Le and Demner-Fushman, Dina and Yao, Jianhua and Summers, Ronald M.},
title = {Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Conformal Surface Alignment With Optimal Mobius Search: Huu Le,
Tat-Jun Chin,
David Suter; [pdf]
[bibtex]
@InProceedings{Le_2016_CVPR,
author = {Le, Huu and Chin, Tat-Jun and Suter, David},
title = {Conformal Surface Alignment With Optimal Mobius Search},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks: Seong Jae Hwang,
Nagesh Adluru,
Maxwell D. Collins,
Sathya N. Ravi,
Barbara B. Bendlin,
Sterling C. Johnson,
Vikas Singh; [pdf]
[bibtex]
@InProceedings{Hwang_2016_CVPR,
author = {Jae Hwang, Seong and Adluru, Nagesh and Collins, Maxwell D. and Ravi, Sathya N. and Bendlin, Barbara B. and Johnson, Sterling C. and Singh, Vikas},
title = {Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Automating Carotid Intima-Media Thickness Video Interpretation With Convolutional Neural Networks: Jae Shin,
Nima Tajbakhsh,
R. Todd Hurst,
Christopher B. Kendall,
Jianming Liang; [pdf]
[bibtex]
@InProceedings{Shin_2016_CVPR,
author = {Shin, Jae and Tajbakhsh, Nima and Todd Hurst, R. and Kendall, Christopher B. and Liang, Jianming},
title = {Automating Carotid Intima-Media Thickness Video Interpretation With Convolutional Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Context Encoders: Feature Learning by Inpainting: Deepak Pathak,
Philipp Krahenbuhl,
Jeff Donahue,
Trevor Darrell,
Alexei A. Efros; [pdf]
[bibtex]
@InProceedings{Pathak_2016_CVPR,
author = {Pathak, Deepak and Krahenbuhl, Philipp and Donahue, Jeff and Darrell, Trevor and Efros, Alexei A.},
title = {Context Encoders: Feature Learning by Inpainting},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Comparative Deep Learning of Hybrid Representations for Image Recommendations: Chenyi Lei,
Dong Liu,
Weiping Li,
Zheng-Jun Zha,
Houqiang Li; [pdf]
[bibtex]
@InProceedings{Lei_2016_CVPR,
author = {Lei, Chenyi and Liu, Dong and Li, Weiping and Zha, Zheng-Jun and Li, Houqiang},
title = {Comparative Deep Learning of Hybrid Representations for Image Recommendations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Fast ConvNets Using Group-Wise Brain Damage: Vadim Lebedev,
Victor Lempitsky; [pdf]
[bibtex]
@InProceedings{Lebedev_2016_CVPR,
author = {Lebedev, Vadim and Lempitsky, Victor},
title = {Fast ConvNets Using Group-Wise Brain Damage},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning to Co-Generate Object Proposals With a Deep Structured Network: Zeeshan Hayder,
Xuming He,
Mathieu Salzmann; [pdf]
[bibtex]
@InProceedings{Hayder_2016_CVPR,
author = {Hayder, Zeeshan and He, Xuming and Salzmann, Mathieu},
title = {Learning to Co-Generate Object Proposals With a Deep Structured Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks: Seyed-Mohsen Moosavi-Dezfooli,
Alhussein Fawzi,
Pascal Frossard; [pdf]
[bibtex]
@InProceedings{Moosavi-Dezfooli_2016_CVPR,
author = {Moosavi-Dezfooli, Seyed-Mohsen and Fawzi, Alhussein and Frossard, Pascal},
title = {DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Blockout: Dynamic Model Selection for Hierarchical Deep Networks: Calvin Murdock,
Zhen Li,
Howard Zhou,
Tom Duerig; [pdf]
[bibtex]
@InProceedings{Murdock_2016_CVPR,
author = {Murdock, Calvin and Li, Zhen and Zhou, Howard and Duerig, Tom},
title = {Blockout: Dynamic Model Selection for Hierarchical Deep Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters: Forrest N. Iandola,
Matthew W. Moskewicz,
Khalid Ashraf,
Kurt Keutzer; [pdf]
[bibtex]
@InProceedings{Iandola_2016_CVPR,
author = {Iandola, Forrest N. and Moskewicz, Matthew W. and Ashraf, Khalid and Keutzer, Kurt},
title = {FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
MDL-CW: A Multimodal Deep Learning Framework With Cross Weights: Sarah Rastegar,
Mahdieh Soleymani,
Hamid R. Rabiee,
Seyed Mohsen Shojaee; [pdf]
[bibtex]
@InProceedings{Rastegar_2016_CVPR,
author = {Rastegar, Sarah and Soleymani, Mahdieh and Rabiee, Hamid R. and Mohsen Shojaee, Seyed},
title = {MDL-CW: A Multimodal Deep Learning Framework With Cross Weights},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Structured Receptive Fields in CNNs: Jorn-Henrik Jacobsen,
Jan van Gemert,
Zhongyu Lou,
Arnold W. M. Smeulders; [pdf]
[bibtex]
@InProceedings{Jacobsen_2016_CVPR,
author = {Jacobsen, Jorn-Henrik and van Gemert, Jan and Lou, Zhongyu and Smeulders, Arnold W. M.},
title = {Structured Receptive Fields in CNNs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
First Person Action Recognition Using Deep Learned Descriptors: Suriya Singh,
Chetan Arora,
C. V. Jawahar; [pdf]
[bibtex]
@InProceedings{Singh_2016_CVPR,
author = {Singh, Suriya and Arora, Chetan and Jawahar, C. V.},
title = {First Person Action Recognition Using Deep Learned Descriptors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recognizing Micro-Actions and Reactions From Paired Egocentric Videos: Ryo Yonetani,
Kris M. Kitani,
Yoichi Sato; [pdf]
[bibtex]
@InProceedings{Yonetani_2016_CVPR,
author = {Yonetani, Ryo and Kitani, Kris M. and Sato, Yoichi},
title = {Recognizing Micro-Actions and Reactions From Paired Egocentric Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Mining 3D Key-Pose-Motifs for Action Recognition: Chunyu Wang,
Yizhou Wang,
Alan L. Yuille; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Chunyu and Wang, Yizhou and Yuille, Alan L.},
title = {Mining 3D Key-Pose-Motifs for Action Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Predicting the Where and What of Actors and Actions Through Online Action Localization: Khurram Soomro,
Haroon Idrees,
Mubarak Shah; [pdf]
[bibtex]
@InProceedings{Soomro_2016_CVPR,
author = {Soomro, Khurram and Idrees, Haroon and Shah, Mubarak},
title = {Predicting the Where and What of Actors and Actions Through Online Action Localization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Actions ~ Transformations: Xiaolong Wang,
Ali Farhadi,
Abhinav Gupta; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Xiaolong and Farhadi, Ali and Gupta, Abhinav},
title = {Actions ~ Transformations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Visual Path Prediction in Complex Scenes With Crowded Moving Objects: YoungJoon Yoo,
Kimin Yun,
Sangdoo Yun,
JongHee Hong,
Hawook Jeong,
Jin Young Choi; [pdf]
[bibtex]
@InProceedings{Yoo_2016_CVPR,
author = {Yoo, YoungJoon and Yun, Kimin and Yun, Sangdoo and Hong, JongHee and Jeong, Hawook and Young Choi, Jin},
title = {Visual Path Prediction in Complex Scenes With Crowded Moving Objects},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
End-To-End Learning of Action Detection From Frame Glimpses in Videos: Serena Yeung,
Olga Russakovsky,
Greg Mori,
Li Fei-Fei; [pdf]
[bibtex]
@InProceedings{Yeung_2016_CVPR,
author = {Yeung, Serena and Russakovsky, Olga and Mori, Greg and Fei-Fei, Li},
title = {End-To-End Learning of Action Detection From Frame Glimpses in Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Action Recognition in Video Using Sparse Coding and Relative Features: Anali Alfaro,
Domingo Mery,
Alvaro Soto; [pdf]
[bibtex]
@InProceedings{Alfaro_2016_CVPR,
author = {Alfaro, Anali and Mery, Domingo and Soto, Alvaro},
title = {Action Recognition in Video Using Sparse Coding and Relative Features},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Improving Human Action Recognition by Non-Action Classification: Yang Wang,
Minh Hoai; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Yang and Hoai, Minh},
title = {Improving Human Action Recognition by Non-Action Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Actionness Estimation Using Hybrid Fully Convolutional Networks: Limin Wang,
Yu Qiao,
Xiaoou Tang,
Luc Van Gool; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Limin and Qiao, Yu and Tang, Xiaoou and Van Gool, Luc},
title = {Actionness Estimation Using Hybrid Fully Convolutional Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Real-Time Action Recognition With Enhanced Motion Vector CNNs: Bowen Zhang,
Limin Wang,
Zhe Wang,
Yu Qiao,
Hanli Wang; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Bowen and Wang, Limin and Wang, Zhe and Qiao, Yu and Wang, Hanli},
title = {Real-Time Action Recognition With Enhanced Motion Vector CNNs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Laplacian Patch-Based Image Synthesis: Joo Ho Lee,
Inchang Choi,
Min H. Kim; [pdf]
[bibtex]
@InProceedings{Lee_2016_CVPR,
author = {Ho Lee, Joo and Choi, Inchang and Kim, Min H.},
title = {Laplacian Patch-Based Image Synthesis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Rain Streak Removal Using Layer Priors: Yu Li,
Robby T. Tan,
Xiaojie Guo,
Jiangbo Lu,
Michael S. Brown; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Yu and Tan, Robby T. and Guo, Xiaojie and Lu, Jiangbo and Brown, Michael S.},
title = {Rain Streak Removal Using Layer Priors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Gradient-Domain Image Reconstruction Framework With Intensity-Range and Base-Structure Constraints: Takashi Shibata,
Masayuki Tanaka,
Masatoshi Okutomi; [pdf]
[bibtex]
@InProceedings{Shibata_2016_CVPR,
author = {Shibata, Takashi and Tanaka, Masayuki and Okutomi, Masatoshi},
title = {Gradient-Domain Image Reconstruction Framework With Intensity-Range and Base-Structure Constraints},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion: Jialei Wang,
Peder A. Olsen,
Andrew R. Conn,
Aurelie C. Lozano; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Jialei and Olsen, Peder A. and Conn, Andrew R. and Lozano, Aurelie C.},
title = {Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images: Zhangyang Wang,
Ding Liu,
Shiyu Chang,
Qing Ling,
Yingzhen Yang,
Thomas S. Huang; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Zhangyang and Liu, Ding and Chang, Shiyu and Ling, Qing and Yang, Yingzhen and Huang, Thomas S.},
title = {D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
From Bows to Arrows: Rolling Shutter Rectification of Urban Scenes: Vijay Rengarajan,
Ambasamudram N. Rajagopalan,
Rangarajan Aravind; [pdf]
[bibtex]
@InProceedings{Rengarajan_2016_CVPR,
author = {Rengarajan, Vijay and Rajagopalan, Ambasamudram N. and Aravind, Rangarajan},
title = {From Bows to Arrows: Rolling Shutter Rectification of Urban Scenes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation: Xueyang Fu,
Delu Zeng,
Yue Huang,
Xiao-Ping Zhang,
Xinghao Ding; [pdf]
[bibtex]
@InProceedings{Fu_2016_CVPR,
author = {Fu, Xueyang and Zeng, Delu and Huang, Yue and Zhang, Xiao-Ping and Ding, Xinghao},
title = {A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Visualizing and Understanding Deep Texture Representations: Tsung-Yu Lin,
Subhransu Maji; [pdf]
[bibtex]
@InProceedings{Lin_2016_CVPR,
author = {Lin, Tsung-Yu and Maji, Subhransu},
title = {Visualizing and Understanding Deep Texture Representations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Robust Kernel Estimation With Outliers Handling for Image Deblurring: Jinshan Pan,
Zhouchen Lin,
Zhixun Su,
Ming-Hsuan Yang; [pdf]
[bibtex]
@InProceedings{Pan_2016_CVPR,
author = {Pan, Jinshan and Lin, Zhouchen and Su, Zhixun and Yang, Ming-Hsuan},
title = {Robust Kernel Estimation With Outliers Handling for Image Deblurring},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Online Collaborative Learning for Open-Vocabulary Visual Classifiers: Hanwang Zhang,
Xindi Shang,
Wenzhuo Yang,
Huan Xu,
Huanbo Luan,
Tat-Seng Chua; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Hanwang and Shang, Xindi and Yang, Wenzhuo and Xu, Huan and Luan, Huanbo and Chua, Tat-Seng},
title = {Online Collaborative Learning for Open-Vocabulary Visual Classifiers},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Rethinking the Inception Architecture for Computer Vision: Christian Szegedy,
Vincent Vanhoucke,
Sergey Ioffe,
Jon Shlens,
Zbigniew Wojna; [pdf]
[bibtex]
@InProceedings{Szegedy_2016_CVPR,
author = {Szegedy, Christian and Vanhoucke, Vincent and Ioffe, Sergey and Shlens, Jon and Wojna, Zbigniew},
title = {Rethinking the Inception Architecture for Computer Vision},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Cross Modal Distillation for Supervision Transfer: Saurabh Gupta,
Judy Hoffman,
Jitendra Malik; [pdf]
[bibtex]
@InProceedings{Gupta_2016_CVPR,
author = {Gupta, Saurabh and Hoffman, Judy and Malik, Jitendra},
title = {Cross Modal Distillation for Supervision Transfer},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient Point Process Inference for Large-Scale Object Detection: Trung T. Pham,
Seyed Hamid Rezatofighi,
Ian Reid,
Tat-Jun Chin; [pdf]
[bibtex]
@InProceedings{Pham_2016_CVPR,
author = {Pham, Trung T. and Hamid Rezatofighi, Seyed and Reid, Ian and Chin, Tat-Jun},
title = {Efficient Point Process Inference for Large-Scale Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Weakly Supervised Deep Detection Networks: Hakan Bilen,
Andrea Vedaldi; [pdf]
[bibtex]
@InProceedings{Bilen_2016_CVPR,
author = {Bilen, Hakan and Vedaldi, Andrea},
title = {Weakly Supervised Deep Detection Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
BORDER: An Oriented Rectangles Approach to Texture-Less Object Recognition: Jacob Chan,
Jimmy Addison Lee,
Qian Kemao; [pdf]
[bibtex]
@InProceedings{Chan_2016_CVPR,
author = {Chan, Jacob and Addison Lee, Jimmy and Kemao, Qian},
title = {BORDER: An Oriented Rectangles Approach to Texture-Less Object Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Active Image Segmentation Propagation: Suyog Dutt Jain,
Kristen Grauman; [pdf]
[bibtex]
@InProceedings{Jain_2016_CVPR,
author = {Dutt Jain, Suyog and Grauman, Kristen},
title = {Active Image Segmentation Propagation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Inside-Outside Net: Detecting Objects in Context With Skip Pooling and Recurrent Neural Networks: Sean Bell,
C. Lawrence Zitnick,
Kavita Bala,
Ross Girshick; [pdf]
[bibtex]
@InProceedings{Bell_2016_CVPR,
author = {Bell, Sean and Lawrence Zitnick, C. and Bala, Kavita and Girshick, Ross},
title = {Inside-Outside Net: Detecting Objects in Context With Skip Pooling and Recurrent Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection: Gong Cheng,
Peicheng Zhou,
Junwei Han; [pdf]
[bibtex]
@InProceedings{Cheng_2016_CVPR,
author = {Cheng, Gong and Zhou, Peicheng and Han, Junwei},
title = {RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Reinforcement Learning for Visual Object Detection: Stefan Mathe,
Aleksis Pirinen,
Cristian Sminchisescu; [pdf]
[bibtex]
@InProceedings{Mathe_2016_CVPR,
author = {Mathe, Stefan and Pirinen, Aleksis and Sminchisescu, Cristian},
title = {Reinforcement Learning for Visual Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Detecting Repeating Objects Using Patch Correlation Analysis: Inbar Huberman,
Raanan Fattal; [pdf]
[bibtex]
@InProceedings{Huberman_2016_CVPR,
author = {Huberman, Inbar and Fattal, Raanan},
title = {Detecting Repeating Objects Using Patch Correlation Analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks: Sebastian Bach,
Alexander Binder,
Gregoire Montavon,
Klaus-Robert Muller,
Wojciech Samek; [pdf]
[bibtex]
@InProceedings{Bach_2016_CVPR,
author = {Bach, Sebastian and Binder, Alexander and Montavon, Gregoire and Muller, Klaus-Robert and Samek, Wojciech},
title = {Analyzing Classifiers: Fisher Vectors and Deep Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Deep Features for Discriminative Localization: Bolei Zhou,
Aditya Khosla,
Agata Lapedriza,
Aude Oliva,
Antonio Torralba; [pdf]
[bibtex]
@InProceedings{Zhou_2016_CVPR,
author = {Zhou, Bolei and Khosla, Aditya and Lapedriza, Agata and Oliva, Aude and Torralba, Antonio},
title = {Learning Deep Features for Discriminative Localization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels: Ishan Misra,
C. Lawrence Zitnick,
Margaret Mitchell,
Ross Girshick; [pdf]
[bibtex]
@InProceedings{Misra_2016_CVPR,
author = {Misra, Ishan and Lawrence Zitnick, C. and Mitchell, Margaret and Girshick, Ross},
title = {Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Aligned Cross-Modal Representations From Weakly Aligned Data: Lluis Castrejon,
Yusuf Aytar,
Carl Vondrick,
Hamed Pirsiavash,
Antonio Torralba; [pdf]
[bibtex]
@InProceedings{Castrejon_2016_CVPR,
author = {Castrejon, Lluis and Aytar, Yusuf and Vondrick, Carl and Pirsiavash, Hamed and Torralba, Antonio},
title = {Learning Aligned Cross-Modal Representations From Weakly Aligned Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Probabilistic Collaborative Representation Based Approach for Pattern Classification: Sijia Cai,
Lei Zhang,
Wangmeng Zuo,
Xiangchu Feng; [pdf]
[bibtex]
@InProceedings{Cai_2016_CVPR,
author = {Cai, Sijia and Zhang, Lei and Zuo, Wangmeng and Feng, Xiangchu},
title = {A Probabilistic Collaborative Representation Based Approach for Pattern Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Structured Inference Neural Networks With Label Relations: Hexiang Hu,
Guang-Tong Zhou,
Zhiwei Deng,
Zicheng Liao,
Greg Mori; [pdf]
[bibtex]
@InProceedings{Hu_2016_CVPR,
author = {Hu, Hexiang and Zhou, Guang-Tong and Deng, Zhiwei and Liao, Zicheng and Mori, Greg},
title = {Learning Structured Inference Neural Networks With Label Relations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition: Hongyuan Zhu,
Jean-Baptiste Weibel,
Shijian Lu; [pdf]
[bibtex]
@InProceedings{Zhu_2016_CVPR,
author = {Zhu, Hongyuan and Weibel, Jean-Baptiste and Lu, Shijian},
title = {Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Conditional Graphical Lasso for Multi-Label Image Classification: Qiang Li,
Maoying Qiao,
Wei Bian,
Dacheng Tao; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Qiang and Qiao, Maoying and Bian, Wei and Tao, Dacheng},
title = {Conditional Graphical Lasso for Multi-Label Image Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Region Ranking SVM for Image Classification: Zijun Wei,
Minh Hoai; [pdf]
[bibtex]
@InProceedings{Wei_2016_CVPR,
author = {Wei, Zijun and Hoai, Minh},
title = {Region Ranking SVM for Image Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Predicting Motivations of Actions by Leveraging Text: Carl Vondrick,
Deniz Oktay,
Hamed Pirsiavash,
Antonio Torralba; [pdf]
[bibtex]
@InProceedings{Vondrick_2016_CVPR,
author = {Vondrick, Carl and Oktay, Deniz and Pirsiavash, Hamed and Torralba, Antonio},
title = {Predicting Motivations of Actions by Leveraging Text},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition: Jakub Sochor,
Adam Herout,
Jiri Havel; [pdf]
[bibtex]
@InProceedings{Sochor_2016_CVPR,
author = {Sochor, Jakub and Herout, Adam and Havel, Jiri},
title = {BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Highway Vehicle Counting in Compressed Domain: Xu Liu,
Zilei Wang,
Jiashi Feng,
Hongsheng Xi; [pdf]
[bibtex]
@InProceedings{Liu_2016_CVPR,
author = {Liu, Xu and Wang, Zilei and Feng, Jiashi and Xi, Hongsheng},
title = {Highway Vehicle Counting in Compressed Domain},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Camera Calibration From Periodic Motion of a Pedestrian: Shiyao Huang,
Xianghua Ying,
Jiangpeng Rong,
Zeyu Shang,
Hongbin Zha; [pdf]
[bibtex]
@InProceedings{Huang_2016_CVPR,
author = {Huang, Shiyao and Ying, Xianghua and Rong, Jiangpeng and Shang, Zeyu and Zha, Hongbin},
title = {Camera Calibration From Periodic Motion of a Pedestrian},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Dynamic Image Networks for Action Recognition: Hakan Bilen,
Basura Fernando,
Efstratios Gavves,
Andrea Vedaldi,
Stephen Gould; [pdf]
[bibtex]
@InProceedings{Bilen_2016_CVPR,
author = {Bilen, Hakan and Fernando, Basura and Gavves, Efstratios and Vedaldi, Andrea and Gould, Stephen},
title = {Dynamic Image Networks for Action Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Detecting Events and Key Actors in Multi-Person Videos: Vignesh Ramanathan,
Jonathan Huang,
Sami Abu-El-Haija,
Alexander Gorban,
Kevin Murphy,
Li Fei-Fei; [pdf]
[bibtex]
@InProceedings{Ramanathan_2016_CVPR,
author = {Ramanathan, Vignesh and Huang, Jonathan and Abu-El-Haija, Sami and Gorban, Alexander and Murphy, Kevin and Fei-Fei, Li},
title = {Detecting Events and Key Actors in Multi-Person Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Regularizing Long Short Term Memory With 3D Human-Skeleton Sequences for Action Recognition: Behrooz Mahasseni,
Sinisa Todorovic; [pdf]
[bibtex]
@InProceedings{Mahasseni_2016_CVPR,
author = {Mahasseni, Behrooz and Todorovic, Sinisa},
title = {Regularizing Long Short Term Memory With 3D Human-Skeleton Sequences for Action Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Personalizing Human Video Pose Estimation: James Charles,
Tomas Pfister,
Derek Magee,
David Hogg,
Andrew Zisserman; [pdf]
[bibtex]
@InProceedings{Charles_2016_CVPR,
author = {Charles, James and Pfister, Tomas and Magee, Derek and Hogg, David and Zisserman, Andrew},
title = {Personalizing Human Video Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
End-To-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation: Wei Yang,
Wanli Ouyang,
Hongsheng Li,
Xiaogang Wang; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Wei and Ouyang, Wanli and Li, Hongsheng and Wang, Xiaogang},
title = {End-To-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Actor-Action Semantic Segmentation With Grouping Process Models: Chenliang Xu,
Jason J. Corso; [pdf]
[bibtex]
@InProceedings{Xu_2016_CVPR,
author = {Xu, Chenliang and Corso, Jason J.},
title = {Actor-Action Semantic Segmentation With Grouping Process Models},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Temporal Action Localization With Pyramid of Score Distribution Features: Jun Yuan,
Bingbing Ni,
Xiaokang Yang,
Ashraf A. Kassim; [pdf]
[bibtex]
@InProceedings{Yuan_2016_CVPR,
author = {Yuan, Jun and Ni, Bingbing and Yang, Xiaokang and Kassim, Ashraf A.},
title = {Temporal Action Localization With Pyramid of Score Distribution Features},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recognizing Activities of Daily Living With a Wrist-Mounted Camera: Katsunori Ohnishi,
Atsushi Kanehira,
Asako Kanezaki,
Tatsuya Harada; [pdf]
[bibtex]
@InProceedings{Ohnishi_2016_CVPR,
author = {Ohnishi, Katsunori and Kanehira, Atsushi and Kanezaki, Asako and Harada, Tatsuya},
title = {Recognizing Activities of Daily Living With a Wrist-Mounted Camera},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Harnessing Object and Scene Semantics for Large-Scale Video Understanding: Zuxuan Wu,
Yanwei Fu,
Yu-Gang Jiang,
Leonid Sigal; [pdf]
[bibtex]
@InProceedings{Wu_2016_CVPR,
author = {Wu, Zuxuan and Fu, Yanwei and Jiang, Yu-Gang and Sigal, Leonid},
title = {Harnessing Object and Scene Semantics for Large-Scale Video Understanding},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Video-Story Composition via Plot Analysis: Jinsoo Choi,
Tae-Hyun Oh,
In So Kweon; [pdf]
[bibtex]
@InProceedings{Choi_2016_CVPR,
author = {Choi, Jinsoo and Oh, Tae-Hyun and So Kweon, In},
title = {Video-Story Composition via Plot Analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Temporal Action Detection Using a Statistical Language Model: Alexander Richard,
Juergen Gall; [pdf]
[bibtex]
@InProceedings{Richard_2016_CVPR,
author = {Richard, Alexander and Gall, Juergen},
title = {Temporal Action Detection Using a Statistical Language Model},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation: Shu Liu,
Xiaojuan Qi,
Jianping Shi,
Hong Zhang,
Jiaya Jia; [pdf]
[bibtex]
@InProceedings{Liu_2016_CVPR,
author = {Liu, Shu and Qi, Xiaojuan and Shi, Jianping and Zhang, Hong and Jia, Jiaya},
title = {Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Instance-Aware Semantic Segmentation via Multi-Task Network Cascades: Jifeng Dai,
Kaiming He,
Jian Sun; [pdf]
[bibtex]
@InProceedings{Dai_2016_CVPR,
author = {Dai, Jifeng and He, Kaiming and Sun, Jian},
title = {Instance-Aware Semantic Segmentation via Multi-Task Network Cascades},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation: Di Lin,
Jifeng Dai,
Jiaya Jia,
Kaiming He,
Jian Sun; [pdf]
[bibtex]
@InProceedings{Lin_2016_CVPR,
author = {Lin, Di and Dai, Jifeng and Jia, Jiaya and He, Kaiming and Sun, Jian},
title = {ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Feature Space Optimization for Semantic Video Segmentation: Abhijit Kundu,
Vibhav Vineet,
Vladlen Koltun; [pdf]
[bibtex]
@InProceedings{Kundu_2016_CVPR,
author = {Kundu, Abhijit and Vineet, Vibhav and Koltun, Vladlen},
title = {Feature Space Optimization for Semantic Video Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling: Maros Blaha,
Christoph Vogel,
Audrey Richard,
Jan D. Wegner,
Thomas Pock,
Konrad Schindler; [pdf]
[bibtex]
@InProceedings{Blaha_2016_CVPR,
author = {Blaha, Maros and Vogel, Christoph and Richard, Audrey and Wegner, Jan D. and Pock, Thomas and Schindler, Konrad},
title = {Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Semantic Object Parsing With Local-Global Long Short-Term Memory: Xiaodan Liang,
Xiaohui Shen,
Donglai Xiang,
Jiashi Feng,
Liang Lin,
Shuicheng Yan; [pdf]
[bibtex]
@InProceedings{Liang_2016_CVPR,
author = {Liang, Xiaodan and Shen, Xiaohui and Xiang, Donglai and Feng, Jiashi and Lin, Liang and Yan, Shuicheng},
title = {Semantic Object Parsing With Local-Global Long Short-Term Memory},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation: Guosheng Lin,
Chunhua Shen,
Anton van den Hengel,
Ian Reid; [pdf]
[bibtex]
@InProceedings{Lin_2016_CVPR,
author = {Lin, Guosheng and Shen, Chunhua and van den Hengel, Anton and Reid, Ian},
title = {Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network: Seunghoon Hong,
Junhyuk Oh,
Honglak Lee,
Bohyung Han; [pdf]
[bibtex]
@InProceedings{Hong_2016_CVPR,
author = {Hong, Seunghoon and Oh, Junhyuk and Lee, Honglak and Han, Bohyung},
title = {Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
The Cityscapes Dataset for Semantic Urban Scene Understanding: Marius Cordts,
Mohamed Omran,
Sebastian Ramos,
Timo Rehfeld,
Markus Enzweiler,
Rodrigo Benenson,
Uwe Franke,
Stefan Roth,
Bernt Schiele; [pdf]
[bibtex]
@InProceedings{Cordts_2016_CVPR,
author = {Cordts, Marius and Omran, Mohamed and Ramos, Sebastian and Rehfeld, Timo and Enzweiler, Markus and Benenson, Rodrigo and Franke, Uwe and Roth, Stefan and Schiele, Bernt},
title = {The Cityscapes Dataset for Semantic Urban Scene Understanding},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Gaussian Conditional Random Field Network for Semantic Segmentation: Raviteja Vemulapalli,
Oncel Tuzel,
Ming-Yu Liu,
Rama Chellapa; [pdf]
[bibtex]
@InProceedings{Vemulapalli_2016_CVPR,
author = {Vemulapalli, Raviteja and Tuzel, Oncel and Liu, Ming-Yu and Chellapa, Rama},
title = {Gaussian Conditional Random Field Network for Semantic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes: German Ros,
Laura Sellart,
Joanna Materzynska,
David Vazquez,
Antonio M. Lopez; [pdf]
[bibtex]
@InProceedings{Ros_2016_CVPR,
author = {Ros, German and Sellart, Laura and Materzynska, Joanna and Vazquez, David and Lopez, Antonio M.},
title = {The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Progressive Prioritized Multi-View Stereo: Alex Locher,
Michal Perdoch,
Luc Van Gool; [pdf]
[bibtex]
@InProceedings{Locher_2016_CVPR,
author = {Locher, Alex and Perdoch, Michal and Van Gool, Luc},
title = {Progressive Prioritized Multi-View Stereo},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
WarpNet: Weakly Supervised Matching for Single-View Reconstruction: Angjoo Kanazawa,
David W. Jacobs,
Manmohan Chandraker; [pdf]
[bibtex]
@InProceedings{Kanazawa_2016_CVPR,
author = {Kanazawa, Angjoo and Jacobs, David W. and Chandraker, Manmohan},
title = {WarpNet: Weakly Supervised Matching for Single-View Reconstruction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
What Sparse Light Field Coding Reveals About Scene Structure: Ole Johannsen,
Antonin Sulc,
Bastian Goldluecke; [pdf]
[bibtex]
@InProceedings{Johannsen_2016_CVPR,
author = {Johannsen, Ole and Sulc, Antonin and Goldluecke, Bastian},
title = {What Sparse Light Field Coding Reveals About Scene Structure},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Online Reconstruction of Indoor Scenes From RGB-D Streams: Hao Wang,
Jun Wang,
Wang Liang; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Hao and Wang, Jun and Liang, Wang},
title = {Online Reconstruction of Indoor Scenes From RGB-D Streams},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction: Ali Osman Ulusoy,
Michael J. Black,
Andreas Geiger; [pdf]
[bibtex]
@InProceedings{Ulusoy_2016_CVPR,
author = {Osman Ulusoy, Ali and Black, Michael J. and Geiger, Andreas},
title = {Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Single Image Camera Calibration With Lenticular Arrays for Augmented Reality: Ian Schillebeeckx,
Robert Pless; [pdf]
[bibtex]
@InProceedings{Schillebeeckx_2016_CVPR,
author = {Schillebeeckx, Ian and Pless, Robert},
title = {Single Image Camera Calibration With Lenticular Arrays for Augmented Reality},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Augmented Blendshapes for Real-Time Simultaneous 3D Head Modeling and Facial Motion Capture: Diego Thomas,
Rin-ichiro Taniguchi; [pdf]
[bibtex]
@InProceedings{Thomas_2016_CVPR,
author = {Thomas, Diego and Taniguchi, Rin-ichiro},
title = {Augmented Blendshapes for Real-Time Simultaneous 3D Head Modeling and Facial Motion Capture},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence: Jin Xie,
Meng Wang,
Yi Fang; [pdf]
[bibtex]
@InProceedings{Xie_2016_CVPR,
author = {Xie, Jin and Wang, Meng and Fang, Yi},
title = {Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multiple Model Fitting as a Set Coverage Problem: Luca Magri,
Andrea Fusiello; [pdf]
[bibtex]
@InProceedings{Magri_2016_CVPR,
author = {Magri, Luca and Fusiello, Andrea},
title = {Multiple Model Fitting as a Set Coverage Problem},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Piecewise-Planar 3D Approximation From Wide-Baseline Stereo: Cedric Verleysen,
Christophe De Vleeschouwer; [pdf]
[bibtex]
@InProceedings{Verleysen_2016_CVPR,
author = {Verleysen, Cedric and De Vleeschouwer, Christophe},
title = {Piecewise-Planar 3D Approximation From Wide-Baseline Stereo},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Sparse to Dense 3D Reconstruction From Rolling Shutter Images: Olivier Saurer,
Marc Pollefeys,
Gim Hee Lee; [pdf]
[bibtex]
@InProceedings{Saurer_2016_CVPR,
author = {Saurer, Olivier and Pollefeys, Marc and Hee Lee, Gim},
title = {Sparse to Dense 3D Reconstruction From Rolling Shutter Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Consistency of Silhouettes and Their Duals: Matthew Trager,
Martial Hebert,
Jean Ponce; [pdf]
[bibtex]
@InProceedings{Trager_2016_CVPR,
author = {Trager, Matthew and Hebert, Martial and Ponce, Jean},
title = {Consistency of Silhouettes and Their Duals},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Rolling Shutter Absolute Pose Problem With Known Vertical Direction: Cenek Albl,
Zuzana Kukelova,
Tomas Pajdla; [pdf]
[bibtex]
@InProceedings{Albl_2016_CVPR,
author = {Albl, Cenek and Kukelova, Zuzana and Pajdla, Tomas},
title = {Rolling Shutter Absolute Pose Problem With Known Vertical Direction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes From a Single RGB Image: Eric Brachmann,
Frank Michel,
Alexander Krull,
Michael Ying Yang,
Stefan Gumhold,
carsten Rother; [pdf]
[bibtex]
@InProceedings{Brachmann_2016_CVPR,
author = {Brachmann, Eric and Michel, Frank and Krull, Alexander and Ying Yang, Michael and Gumhold, Stefan and Rother, carsten},
title = {Uncertainty-Driven 6D Pose Estimation of Objects and Scenes From a Single RGB Image},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multicamera Calibration From Visible and Mirrored Epipoles: Andrey Bushnevskiy,
Lorenzo Sorgi,
Bodo Rosenhahn; [pdf]
[bibtex]
@InProceedings{Bushnevskiy_2016_CVPR,
author = {Bushnevskiy, Andrey and Sorgi, Lorenzo and Rosenhahn, Bodo},
title = {Multicamera Calibration From Visible and Mirrored Epipoles},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences: Lazaros Zafeiriou,
Epameinondas Antonakos,
Stefanos Zafeiriou,
Maja Pantic; [pdf]
[bibtex]
@InProceedings{Zafeiriou_2016_CVPR,
author = {Zafeiriou, Lazaros and Antonakos, Epameinondas and Zafeiriou, Stefanos and Pantic, Maja},
title = {Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Region and Multi-Label Learning for Facial Action Unit Detection: Kaili Zhao,
Wen-Sheng Chu,
Honggang Zhang; [pdf]
[bibtex]
@InProceedings{Zhao_2016_CVPR,
author = {Zhao, Kaili and Chu, Wen-Sheng and Zhang, Honggang},
title = {Deep Region and Multi-Label Learning for Facial Action Unit Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection: Yue Wu,
Qiang Ji; [pdf]
[bibtex]
@InProceedings{Wu_2016_CVPR,
author = {Wu, Yue and Ji, Qiang},
title = {Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Unconstrained Face Alignment via Cascaded Compositional Learning: Shizhan Zhu,
Cheng Li,
Chen-Change Loy,
Xiaoou Tang; [pdf]
[bibtex]
@InProceedings{Zhu_2016_CVPR,
author = {Zhu, Shizhan and Li, Cheng and Loy, Chen-Change and Tang, Xiaoou},
title = {Unconstrained Face Alignment via Cascaded Compositional Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Automated 3D Face Reconstruction From Multiple Images Using Quality Measures: Marcel Piotraschke,
Volker Blanz; [pdf]
[bibtex]
@InProceedings{Piotraschke_2016_CVPR,
author = {Piotraschke, Marcel and Blanz, Volker},
title = {Automated 3D Face Reconstruction From Multiple Images Using Quality Measures},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders: Jie Zhang,
Meina Kan,
Shiguang Shan,
Xilin Chen; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Jie and Kan, Meina and Shan, Shiguang and Chen, Xilin},
title = {Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis: Zheng Zhang,
Jeff M. Girard,
Yue Wu,
Xing Zhang,
Peng Liu,
Umur Ciftci,
Shaun Canavan,
Michael Reale,
Andy Horowitz,
Huiyuan Yang,
Jeffrey F. Cohn,
Qiang Ji,
Lijun Yin; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Zheng and Girard, Jeff M. and Wu, Yue and Zhang, Xing and Liu, Peng and Ciftci, Umur and Canavan, Shaun and Reale, Michael and Horowitz, Andy and Yang, Huiyuan and Cohn, Jeffrey F. and Ji, Qiang and Yin, Lijun},
title = {Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Reconstruction-Based Remote Gaze Estimation: Pei Yu,
Jiahuan Zhou,
Ying Wu; [pdf]
[bibtex]
@InProceedings{Yu_2016_CVPR,
author = {Yu, Pei and Zhou, Jiahuan and Wu, Ying},
title = {Learning Reconstruction-Based Remote Gaze Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Joint Training of Cascaded CNN for Face Detection: Hongwei Qin,
Junjie Yan,
Xiu Li,
Xiaolin Hu; [pdf]
[bibtex]
@InProceedings{Qin_2016_CVPR,
author = {Qin, Hongwei and Yan, Junjie and Li, Xiu and Hu, Xiaolin},
title = {Joint Training of Cascaded CNN for Face Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Facial Expression Intensity Estimation Using Ordinal Information: Rui Zhao,
Quan Gan,
Shangfei Wang,
Qiang Ji; [pdf]
[bibtex]
@InProceedings{Zhao_2016_CVPR,
author = {Zhao, Rui and Gan, Quan and Wang, Shangfei and Ji, Qiang},
title = {Facial Expression Intensity Estimation Using Ordinal Information},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Proposal Flow: Bumsub Ham,
Minsu Cho,
Cordelia Schmid,
Jean Ponce; [pdf]
[bibtex]
@InProceedings{Ham_2016_CVPR,
author = {Ham, Bumsub and Cho, Minsu and Schmid, Cordelia and Ponce, Jean},
title = {Proposal Flow},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks: Chen Sun,
Manohar Paluri,
Ronan Collobert,
Ram Nevatia,
Lubomir Bourdev; [pdf]
[bibtex]
@InProceedings{Sun_2016_CVPR,
author = {Sun, Chen and Paluri, Manohar and Collobert, Ronan and Nevatia, Ram and Bourdev, Lubomir},
title = {ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Seeing Behind the Camera: Identifying the Authorship of a Photograph: Christopher Thomas,
Adriana Kovashka; [pdf]
[bibtex]
@InProceedings{Thomas_2016_CVPR,
author = {Thomas, Christopher and Kovashka, Adriana},
title = {Seeing Behind the Camera: Identifying the Authorship of a Photograph},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Material Classification Using Raw Time-Of-Flight Measurements: Shuochen Su,
Felix Heide,
Robin Swanson,
Jonathan Klein,
Clara Callenberg,
Matthias Hullin,
Wolfgang Heidrich; [pdf]
[bibtex]
@InProceedings{Su_2016_CVPR,
author = {Su, Shuochen and Heide, Felix and Swanson, Robin and Klein, Jonathan and Callenberg, Clara and Hullin, Matthias and Heidrich, Wolfgang},
title = {Material Classification Using Raw Time-Of-Flight Measurements},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Weakly Supervised Object Localization With Progressive Domain Adaptation: Dong Li,
Jia-Bin Huang,
Yali Li,
Shengjin Wang,
Ming-Hsuan Yang; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Dong and Huang, Jia-Bin and Li, Yali and Wang, Shengjin and Yang, Ming-Hsuan},
title = {Weakly Supervised Object Localization With Progressive Domain Adaptation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Newtonian Scene Understanding: Unfolding the Dynamics of Objects in Static Images: Roozbeh Mottaghi,
Hessam Bagherinezhad,
Mohammad Rastegari,
Ali Farhadi; [pdf]
[bibtex]
@InProceedings{Mottaghi_2016_CVPR,
author = {Mottaghi, Roozbeh and Bagherinezhad, Hessam and Rastegari, Mohammad and Farhadi, Ali},
title = {Newtonian Scene Understanding: Unfolding the Dynamics of Objects in Static Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Identifying Good Training Data for Self-Supervised Free Space Estimation: Ali Harakeh,
Daniel Asmar,
Elie Shammas; [pdf]
[bibtex]
@InProceedings{Harakeh_2016_CVPR,
author = {Harakeh, Ali and Asmar, Daniel and Shammas, Elie},
title = {Identifying Good Training Data for Self-Supervised Free Space Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning to Match Aerial Images With Deep Attentive Architectures: Hani Altwaijry,
Eduard Trulls,
James Hays,
Pascal Fua,
Serge Belongie; [pdf]
[bibtex]
@InProceedings{Altwaijry_2016_CVPR,
author = {Altwaijry, Hani and Trulls, Eduard and Hays, James and Fua, Pascal and Belongie, Serge},
title = {Learning to Match Aerial Images With Deep Attentive Architectures},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection: Krishna Kumar Singh,
Fanyi Xiao,
Yong Jae Lee; [pdf]
[bibtex]
@InProceedings{Singh_2016_CVPR,
author = {Kumar Singh, Krishna and Xiao, Fanyi and Jae Lee, Yong},
title = {Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns: Ali Diba,
Ali Mohammad Pazandeh,
Hamed Pirsiavash,
Luc Van Gool; [pdf]
[bibtex]
@InProceedings{Diba_2016_CVPR,
author = {Diba, Ali and Mohammad Pazandeh, Ali and Pirsiavash, Hamed and Van Gool, Luc},
title = {DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Canny Text Detector: Fast and Robust Scene Text Localization Algorithm: Hojin Cho,
Myungchul Sung,
Bongjin Jun; [pdf]
[bibtex]
@InProceedings{Cho_2016_CVPR,
author = {Cho, Hojin and Sung, Myungchul and Jun, Bongjin},
title = {Canny Text Detector: Fast and Robust Scene Text Localization Algorithm},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Temporal Multimodal Learning in Audiovisual Speech Recognition: Di Hu,
Xuelong Li,
Xiaoqiang lu; [pdf]
[bibtex]
@InProceedings{Hu_2016_CVPR,
author = {Hu, Di and Li, Xuelong and lu, Xiaoqiang},
title = {Temporal Multimodal Learning in Audiovisual Speech Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd: Andreas Doumanoglou,
Rigas Kouskouridas,
Sotiris Malassiotis,
Tae-Kyun Kim; [pdf]
[bibtex]
@InProceedings{Doumanoglou_2016_CVPR,
author = {Doumanoglou, Andreas and Kouskouridas, Rigas and Malassiotis, Sotiris and Kim, Tae-Kyun},
title = {Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Robust 3D Hand Pose Estimation in Single Depth Images: From Single-View CNN to Multi-View CNNs: Liuhao Ge,
Hui Liang,
Junsong Yuan,
Daniel Thalmann; [pdf]
[bibtex]
@InProceedings{Ge_2016_CVPR,
author = {Ge, Liuhao and Liang, Hui and Yuan, Junsong and Thalmann, Daniel},
title = {Robust 3D Hand Pose Estimation in Single Depth Images: From Single-View CNN to Multi-View CNNs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Semantic Segmentation With Boundary Neural Fields: Gedas Bertasius,
Jianbo Shi,
Lorenzo Torresani; [pdf]
[bibtex]
@InProceedings{Bertasius_2016_CVPR,
author = {Bertasius, Gedas and Shi, Jianbo and Torresani, Lorenzo},
title = {Semantic Segmentation With Boundary Neural Fields},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images: Gellert Mattyus,
Shenlong Wang,
Sanja Fidler,
Raquel Urtasun; [pdf]
[bibtex]
@InProceedings{Mattyus_2016_CVPR,
author = {Mattyus, Gellert and Wang, Shenlong and Fidler, Sanja and Urtasun, Raquel},
title = {HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
DAG-Recurrent Neural Networks For Scene Labeling: Bing Shuai,
Zhen Zuo,
Bing Wang,
Gang Wang; [pdf]
[bibtex]
@InProceedings{Shuai_2016_CVPR,
author = {Shuai, Bing and Zuo, Zhen and Wang, Bing and Wang, Gang},
title = {DAG-Recurrent Neural Networks For Scene Labeling},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing: Baisheng Lai,
Xiaojin Gong; [pdf]
[bibtex]
@InProceedings{Lai_2016_CVPR,
author = {Lai, Baisheng and Gong, Xiaojin},
title = {Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Attention to Scale: Scale-Aware Semantic Image Segmentation: Liang-Chieh Chen,
Yi Yang,
Jiang Wang,
Wei Xu,
Alan L. Yuille; [pdf]
[bibtex]
@InProceedings{Chen_2016_CVPR,
author = {Chen, Liang-Chieh and Yang, Yi and Wang, Jiang and Xu, Wei and Yuille, Alan L.},
title = {Attention to Scale: Scale-Aware Semantic Image Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Scene Labeling Using Sparse Precision Matrix: Nasim Souly,
Mubarak Shah; [pdf]
[bibtex]
@InProceedings{Souly_2016_CVPR,
author = {Souly, Nasim and Shah, Mubarak},
title = {Scene Labeling Using Sparse Precision Matrix},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Iterative Instance Segmentation: Ke Li,
Bharath Hariharan,
Jitendra Malik; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Ke and Hariharan, Bharath and Malik, Jitendra},
title = {Iterative Instance Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recurrent Attentional Networks for Saliency Detection: Jason Kuen,
Zhenhua Wang,
Gang Wang; [pdf]
[bibtex]
@InProceedings{Kuen_2016_CVPR,
author = {Kuen, Jason and Wang, Zhenhua and Wang, Gang},
title = {Recurrent Attentional Networks for Saliency Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Instance-Level Video Segmentation From Object Tracks: Guillaume Seguin,
Piotr Bojanowski,
Remi Lajugie,
Ivan Laptev; [pdf]
[bibtex]
@InProceedings{Seguin_2016_CVPR,
author = {Seguin, Guillaume and Bojanowski, Piotr and Lajugie, Remi and Laptev, Ivan},
title = {Instance-Level Video Segmentation From Object Tracks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer: Jun Xie,
Martin Kiefel,
Ming-Ting Sun,
Andreas Geiger; [pdf]
[bibtex]
@InProceedings{Xie_2016_CVPR,
author = {Xie, Jun and Kiefel, Martin and Sun, Ming-Ting and Geiger, Andreas},
title = {Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Amplitude Modulated Video Camera - Light Separation in Dynamic Scenes: Amir Kolaman,
Maxim Lvov,
Rami Hagege,
Hugo Guterman; [pdf]
[bibtex]
@InProceedings{Kolaman_2016_CVPR,
author = {Kolaman, Amir and Lvov, Maxim and Hagege, Rami and Guterman, Hugo},
title = {Amplitude Modulated Video Camera - Light Separation in Dynamic Scenes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo: Boxin Shi,
Zhe Wu,
Zhipeng Mo,
Dinglong Duan,
Sai-Kit Yeung,
Ping Tan; [pdf]
[bibtex]
@InProceedings{Shi_2016_CVPR,
author = {Shi, Boxin and Wu, Zhe and Mo, Zhipeng and Duan, Dinglong and Yeung, Sai-Kit and Tan, Ping},
title = {A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Depth From Semi-Calibrated Stereo and Defocus: Ting-Chun Wang,
Manohar Srikanth,
Ravi Ramamoorthi; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Ting-Chun and Srikanth, Manohar and Ramamoorthi, Ravi},
title = {Depth From Semi-Calibrated Stereo and Defocus},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration: Ying Fu,
Yinqiang Zheng,
Imari Sato,
Yoichi Sato; [pdf]
[bibtex]
@InProceedings{Fu_2016_CVPR,
author = {Fu, Ying and Zheng, Yinqiang and Sato, Imari and Sato, Yoichi},
title = {Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Variable Aperture Light Field Photography: Overcoming the Diffraction-Limited Spatio-Angular Resolution Tradeoff: Julie Chang,
Isaac Kauvar,
Xuemei Hu,
Gordon Wetzstein; [pdf]
[bibtex]
@InProceedings{Chang_2016_CVPR,
author = {Chang, Julie and Kauvar, Isaac and Hu, Xuemei and Wetzstein, Gordon},
title = {Variable Aperture Light Field Photography: Overcoming the Diffraction-Limited Spatio-Angular Resolution Tradeoff},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Convolutional Networks for Shape From Light Field: Stefan Heber,
Thomas Pock; [pdf]
[bibtex]
@InProceedings{Heber_2016_CVPR,
author = {Heber, Stefan and Pock, Thomas},
title = {Convolutional Networks for Shape From Light Field},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Panoramic Stereo Videos With a Single Camera: Rajat Aggarwal,
Amrisha Vohra,
Anoop M. Namboodiri; [pdf]
[bibtex]
@InProceedings{Aggarwal_2016_CVPR,
author = {Aggarwal, Rajat and Vohra, Amrisha and Namboodiri, Anoop M.},
title = {Panoramic Stereo Videos With a Single Camera},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
The Next Best Underwater View: Mark Sheinin,
Yoav Y. Schechner; [pdf]
[bibtex]
@InProceedings{Sheinin_2016_CVPR,
author = {Sheinin, Mark and Schechner, Yoav Y.},
title = {The Next Best Underwater View},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Reconstructing Shapes and Appearances of Thin Film Objects Using RGB Images: Yoshie Kobayashi,
Tetsuro Morimoto,
Imari Sato,
Yasuhiro Mukaigawa,
Takao Tomono,
Katsushi Ikeuchi; [pdf]
[bibtex]
@InProceedings{Kobayashi_2016_CVPR,
author = {Kobayashi, Yoshie and Morimoto, Tetsuro and Sato, Imari and Mukaigawa, Yasuhiro and Tomono, Takao and Ikeuchi, Katsushi},
title = {Reconstructing Shapes and Appearances of Thin Film Objects Using RGB Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Noisy Label Recovery for Shadow Detection in Unfamiliar Domains: Tomas F. Yago Vicente,
Minh Hoai,
Dimitris Samaras; [pdf]
[bibtex]
@InProceedings{Vicente_2016_CVPR,
author = {Yago Vicente, Tomas F. and Hoai, Minh and Samaras, Dimitris},
title = {Noisy Label Recovery for Shadow Detection in Unfamiliar Domains},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled: Oscar Koller,
Hermann Ney,
Richard Bowden; [pdf]
[bibtex]
@InProceedings{Koller_2016_CVPR,
author = {Koller, Oscar and Ney, Hermann and Bowden, Richard},
title = {Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recognizing Car Fluents From Video: Bo Li,
Tianfu Wu,
Caiming Xiong,
Song-Chun Zhu; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Bo and Wu, Tianfu and Xiong, Caiming and Zhu, Song-Chun},
title = {Recognizing Car Fluents From Video},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition: Edward Johns,
Stefan Leutenegger,
Andrew J. Davison; [pdf]
[bibtex]
@InProceedings{Johns_2016_CVPR,
author = {Johns, Edward and Leutenegger, Stefan and Davison, Andrew J.},
title = {Pairwise Decomposition of Image Sequences for Active Multi-View Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Inferring Forces and Learning Human Utilities From Videos: Yixin Zhu,
Chenfanfu Jiang,
Yibiao Zhao,
Demetri Terzopoulos,
Song-Chun Zhu; [pdf]
[bibtex]
@InProceedings{Zhu_2016_CVPR,
author = {Zhu, Yixin and Jiang, Chenfanfu and Zhao, Yibiao and Terzopoulos, Demetri and Zhu, Song-Chun},
title = {Inferring Forces and Learning Human Utilities From Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Force From Motion: Decoding Physical Sensation in a First Person Video: Hyun Soo Park,
jyh-Jing Hwang,
Jianbo Shi; [pdf]
[bibtex]
@InProceedings{Park_2016_CVPR,
author = {Soo Park, Hyun and Hwang, jyh-Jing and Shi, Jianbo},
title = {Force From Motion: Decoding Physical Sensation in a First Person Video},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Robust Multi-Body Feature Tracker: A Segmentation-Free Approach: Pan Ji,
Hongdong Li,
Mathieu Salzmann,
Yiran Zhong; [pdf]
[bibtex]
@InProceedings{Ji_2016_CVPR,
author = {Ji, Pan and Li, Hongdong and Salzmann, Mathieu and Zhong, Yiran},
title = {Robust Multi-Body Feature Tracker: A Segmentation-Free Approach},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video: Dinesh Jayaraman,
Kristen Grauman; [pdf]
[bibtex]
@InProceedings{Jayaraman_2016_CVPR,
author = {Jayaraman, Dinesh and Grauman, Kristen},
title = {Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Volumetric 3D Tracking by Detection: Chun-Hao Huang,
Benjamin Allain,
Jean-Sebastien Franco,
Nassir Navab,
Slobodan Ilic,
Edmond Boyer; [pdf]
[bibtex]
@InProceedings{Huang_2016_CVPR,
author = {Huang, Chun-Hao and Allain, Benjamin and Franco, Jean-Sebastien and Navab, Nassir and Ilic, Slobodan and Boyer, Edmond},
title = {Volumetric 3D Tracking by Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
The Solution Path Algorithm for Identity-Aware Multi-Object Tracking: Shoou-I Yu,
Deyu Meng,
Wangmeng Zuo,
Alexander Hauptmann; [pdf]
[bibtex]
@InProceedings{Yu_2016_CVPR,
author = {Yu, Shoou-I and Meng, Deyu and Zuo, Wangmeng and Hauptmann, Alexander},
title = {The Solution Path Algorithm for Identity-Aware Multi-Object Tracking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
In Defense of Sparse Tracking: Circulant Sparse Tracker: Tianzhu Zhang,
Adel Bibi,
Bernard Ghanem; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Tianzhu and Bibi, Adel and Ghanem, Bernard},
title = {In Defense of Sparse Tracking: Circulant Sparse Tracker},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Optical Flow With Semantic Segmentation and Localized Layers: Laura Sevilla-Lara,
Deqing Sun,
Varun Jampani,
Michael J. Black; [pdf]
[bibtex]
@InProceedings{Sevilla-Lara_2016_CVPR,
author = {Sevilla-Lara, Laura and Sun, Deqing and Jampani, Varun and Black, Michael J.},
title = {Optical Flow With Semantic Segmentation and Localized Layers},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Video Segmentation via Object Flow: Yi-Hsuan Tsai,
Ming-Hsuan Yang,
Michael J. Black; [pdf]
[bibtex]
@InProceedings{Tsai_2016_CVPR,
author = {Tsai, Yi-Hsuan and Yang, Ming-Hsuan and Black, Michael J.},
title = {Video Segmentation via Object Flow},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Closed-Form Training of Mahalanobis Distance for Supervised Clustering: Marc T. Law,
YaoLiang Yu,
Matthieu Cord,
Eric P. Xing; [pdf]
[bibtex]
@InProceedings{Law_2016_CVPR,
author = {Law, Marc T. and Yu, YaoLiang and Cord, Matthieu and Xing, Eric P.},
title = {Closed-Form Training of Mahalanobis Distance for Supervised Clustering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit: Chong You,
Daniel Robinson,
Rene Vidal; [pdf]
[bibtex]
@InProceedings{You_2016_CVPR,
author = {You, Chong and Robinson, Daniel and Vidal, Rene},
title = {Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering: Chong You,
Chun-Guang Li,
Daniel P. Robinson,
Rene Vidal; [pdf]
[bibtex]
@InProceedings{You_2016_CVPR,
author = {You, Chong and Li, Chun-Guang and Robinson, Daniel P. and Vidal, Rene},
title = {Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Sparse Coding and Dictionary Learning With Linear Dynamical Systems: Wenbing Huang,
Fuchun Sun,
Lele Cao,
Deli Zhao,
Huaping Liu,
Mehrtash Harandi; [pdf]
[bibtex]
@InProceedings{Huang_2016_CVPR,
author = {Huang, Wenbing and Sun, Fuchun and Cao, Lele and Zhao, Deli and Liu, Huaping and Harandi, Mehrtash},
title = {Sparse Coding and Dictionary Learning With Linear Dynamical Systems},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Sublabel-Accurate Relaxation of Nonconvex Energies: Thomas Mollenhoff,
Emanuel Laude,
Michael Moeller,
Jan Lellmann,
Daniel Cremers; [pdf]
[bibtex]
@InProceedings{Mollenhoff_2016_CVPR,
author = {Mollenhoff, Thomas and Laude, Emanuel and Moeller, Michael and Lellmann, Jan and Cremers, Daniel},
title = {Sublabel-Accurate Relaxation of Nonconvex Energies},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
The Multiverse Loss for Robust Transfer Learning: Etai Littwin,
Lior Wolf; [pdf]
[bibtex]
@InProceedings{Littwin_2016_CVPR,
author = {Littwin, Etai and Wolf, Lior},
title = {The Multiverse Loss for Robust Transfer Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning From the Mistakes of Others: Matching Errors in Cross-Dataset Learning: Viktoriia Sharmanska,
Novi Quadrianto; [pdf]
[bibtex]
@InProceedings{Sharmanska_2016_CVPR,
author = {Sharmanska, Viktoriia and Quadrianto, Novi},
title = {Learning From the Mistakes of Others: Matching Errors in Cross-Dataset Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds: Rudrasis Chakraborty,
Dohyung Seo,
Baba C. Vemuri; [pdf]
[bibtex]
@InProceedings{Chakraborty_2016_CVPR,
author = {Chakraborty, Rudrasis and Seo, Dohyung and Vemuri, Baba C.},
title = {An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Online Learning With Bayesian Classification Trees: Samuel Rota Bulo,
Peter Kontschieder; [pdf]
[bibtex]
@InProceedings{Bulo_2016_CVPR,
author = {Rota Bulo, Samuel and Kontschieder, Peter},
title = {Online Learning With Bayesian Classification Trees},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Cross-Stitch Networks for Multi-Task Learning: Ishan Misra,
Abhinav Shrivastava,
Abhinav Gupta,
Martial Hebert; [pdf]
[bibtex]
@InProceedings{Misra_2016_CVPR,
author = {Misra, Ishan and Shrivastava, Abhinav and Gupta, Abhinav and Hebert, Martial},
title = {Cross-Stitch Networks for Multi-Task Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Metric Learning via Lifted Structured Feature Embedding: Hyun Oh Song,
Yu Xiang,
Stefanie Jegelka,
Silvio Savarese; [pdf]
[bibtex]
@InProceedings{Song_2016_CVPR,
author = {Oh Song, Hyun and Xiang, Yu and Jegelka, Stefanie and Savarese, Silvio},
title = {Deep Metric Learning via Lifted Structured Feature Embedding},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Fast Algorithms for Convolutional Neural Networks: Andrew Lavin,
Scott Gray; [pdf]
[bibtex]
@InProceedings{Lavin_2016_CVPR,
author = {Lavin, Andrew and Gray, Scott},
title = {Fast Algorithms for Convolutional Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Coordinating Multiple Disparity Proposals for Stereo Computation: Ang Li,
Dapeng Chen,
Yuanliu Liu,
Zejian Yuan; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Ang and Chen, Dapeng and Liu, Yuanliu and Yuan, Zejian},
title = {Coordinating Multiple Disparity Proposals for Stereo Computation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency: Chi Zhang,
Zhiwei Li,
Rui Cai,
Hongyang Chao,
Yong Rui; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Chi and Li, Zhiwei and Cai, Rui and Chao, Hongyang and Rui, Yong},
title = {Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation: Nikolaus Mayer,
Eddy Ilg,
Philip Hausser,
Philipp Fischer,
Daniel Cremers,
Alexey Dosovitskiy,
Thomas Brox; [pdf]
[bibtex]
@InProceedings{Mayer_2016_CVPR,
author = {Mayer, Nikolaus and Ilg, Eddy and Hausser, Philip and Fischer, Philipp and Cremers, Daniel and Dosovitskiy, Alexey and Brox, Thomas},
title = {A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
6D Dynamic Camera Relocalization From Single Reference Image: Wei Feng,
Fei-Peng Tian,
Qian Zhang,
Jizhou Sun; [pdf]
[bibtex]
@InProceedings{Feng_2016_CVPR,
author = {Feng, Wei and Tian, Fei-Peng and Zhang, Qian and Sun, Jizhou},
title = {6D Dynamic Camera Relocalization From Single Reference Image},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Dense Monocular Depth Estimation in Complex Dynamic Scenes: Rene Ranftl,
Vibhav Vineet,
Qifeng Chen,
Vladlen Koltun; [pdf]
[bibtex]
@InProceedings{Ranftl_2016_CVPR,
author = {Ranftl, Rene and Vineet, Vibhav and Chen, Qifeng and Koltun, Vladlen},
title = {Dense Monocular Depth Estimation in Complex Dynamic Scenes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Using Self-Contradiction to Learn Confidence Measures in Stereo Vision: Christian Mostegel,
Markus Rumpler,
Friedrich Fraundorfer,
Horst Bischof; [pdf]
[bibtex]
@InProceedings{Mostegel_2016_CVPR,
author = {Mostegel, Christian and Rumpler, Markus and Fraundorfer, Friedrich and Bischof, Horst},
title = {Using Self-Contradiction to Learn Confidence Measures in Stereo Vision},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Understanding Real World Indoor Scenes With Synthetic Data: Ankur Handa,
Viorica Patraucean,
Vijay Badrinarayanan,
Simon Stent,
Roberto Cipolla; [pdf]
[bibtex]
@InProceedings{Handa_2016_CVPR,
author = {Handa, Ankur and Patraucean, Viorica and Badrinarayanan, Vijay and Stent, Simon and Cipolla, Roberto},
title = {Understanding Real World Indoor Scenes With Synthetic Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Stereo Matching With Color and Monochrome Cameras in Low-Light Conditions: Hae-Gon Jeon,
Joon-Young Lee,
Sunghoon Im,
Hyowon Ha,
In So Kweon; [pdf]
[bibtex]
@InProceedings{Jeon_2016_CVPR,
author = {Jeon, Hae-Gon and Lee, Joon-Young and Im, Sunghoon and Ha, Hyowon and So Kweon, In},
title = {Stereo Matching With Color and Monochrome Cameras in Low-Light Conditions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Camera Calibration From Dynamic Silhouettes Using Motion Barcodes: Gil Ben-Artzi,
Yoni Kasten,
Shmuel Peleg,
Michael Werman; [pdf]
[bibtex]
@InProceedings{Ben-Artzi_2016_CVPR,
author = {Ben-Artzi, Gil and Kasten, Yoni and Peleg, Shmuel and Werman, Michael},
title = {Camera Calibration From Dynamic Silhouettes Using Motion Barcodes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Structure-From-Motion Revisited: Johannes L. Schonberger,
Jan-Michael Frahm; [pdf]
[bibtex]
@InProceedings{Schonberger_2016_CVPR,
author = {Schonberger, Johannes L. and Frahm, Jan-Michael},
title = {Structure-From-Motion Revisited},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Constructing Canonical Regions for Fast and Effective View Selection: Wencheng Wang,
Tianhao Gao; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Wencheng and Gao, Tianhao},
title = {Constructing Canonical Regions for Fast and Effective View Selection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Prior-Less Compressible Structure From Motion: Chen Kong,
Simon Lucey; [pdf]
[bibtex]
@InProceedings{Kong_2016_CVPR,
author = {Kong, Chen and Lucey, Simon},
title = {Prior-Less Compressible Structure From Motion},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry: Yuchao Dai,
Hongdong Li,
Laurent Kneip; [pdf]
[bibtex]
@InProceedings{Dai_2016_CVPR,
author = {Dai, Yuchao and Li, Hongdong and Kneip, Laurent},
title = {Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Structure From Motion With Objects: Marco Crocco,
Cosimo Rubino,
Alessio Del Bue; [pdf]
[bibtex]
@InProceedings{Crocco_2016_CVPR,
author = {Crocco, Marco and Rubino, Cosimo and Del Bue, Alessio},
title = {Structure From Motion With Objects},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed With Deep Features: Ayan Sinha,
Chiho Choi,
Karthik Ramani; [pdf]
[bibtex]
@InProceedings{Sinha_2016_CVPR,
author = {Sinha, Ayan and Choi, Chiho and Ramani, Karthik},
title = {DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed With Deep Features},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multi-Oriented Text Detection With Fully Convolutional Networks: Zheng Zhang,
Chengquan Zhang,
Wei Shen,
Cong Yao,
Wenyu Liu,
Xiang Bai; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Zheng and Zhang, Chengquan and Shen, Wei and Yao, Cong and Liu, Wenyu and Bai, Xiang},
title = {Multi-Oriented Text Detection With Fully Convolutional Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Robust Scene Text Recognition With Automatic Rectification: Baoguang Shi,
Xinggang Wang,
Pengyuan Lyu,
Cong Yao,
Xiang Bai; [pdf]
[bibtex]
@InProceedings{Shi_2016_CVPR,
author = {Shi, Baoguang and Wang, Xinggang and Lyu, Pengyuan and Yao, Cong and Bai, Xiang},
title = {Robust Scene Text Recognition With Automatic Rectification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment: George Trigeorgis,
Patrick Snape,
Mihalis A. Nicolaou,
Epameinondas Antonakos,
Stefanos Zafeiriou; [pdf]
[bibtex]
@InProceedings{Trigeorgis_2016_CVPR,
author = {Trigeorgis, George and Snape, Patrick and Nicolaou, Mihalis A. and Antonakos, Epameinondas and Zafeiriou, Stefanos},
title = {Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting: Amin Jourabloo,
Xiaoming Liu; [pdf]
[bibtex]
@InProceedings{Jourabloo_2016_CVPR,
author = {Jourabloo, Amin and Liu, Xiaoming},
title = {Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Adaptive 3D Face Reconstruction From Unconstrained Photo Collections: Joseph Roth,
Yiying Tong,
Xiaoming Liu; [pdf]
[bibtex]
@InProceedings{Roth_2016_CVPR,
author = {Roth, Joseph and Tong, Yiying and Liu, Xiaoming},
title = {Adaptive 3D Face Reconstruction From Unconstrained Photo Collections},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network: Pavlo Molchanov,
Xiaodong Yang,
Shalini Gupta,
Kihwan Kim,
Stephen Tyree,
Jan Kautz; [pdf]
[bibtex]
@InProceedings{Molchanov_2016_CVPR,
author = {Molchanov, Pavlo and Yang, Xiaodong and Gupta, Shalini and Kim, Kihwan and Tyree, Stephen and Kautz, Jan},
title = {Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Kinematic Structure Correspondences via Hypergraph Matching: Hyung Jin Chang,
Tobias Fischer,
Maxime Petit,
Martina Zambelli,
Yiannis Demiris; [pdf]
[bibtex]
@InProceedings{Chang_2016_CVPR,
author = {Jin Chang, Hyung and Fischer, Tobias and Petit, Maxime and Zambelli, Martina and Demiris, Yiannis},
title = {Kinematic Structure Correspondences via Hypergraph Matching},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval: Binod Bhattarai,
Gaurav Sharma,
Frederic Jurie; [pdf]
[bibtex]
@InProceedings{Bhattarai_2016_CVPR,
author = {Bhattarai, Binod and Sharma, Gaurav and Jurie, Frederic},
title = {CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
PatchBatch: A Batch Augmented Loss for Optical Flow: David Gadot,
Lior Wolf; [pdf]
[bibtex]
@InProceedings{Gadot_2016_CVPR,
author = {Gadot, David and Wolf, Lior},
title = {PatchBatch: A Batch Augmented Loss for Optical Flow},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Joint Recovery of Dense Correspondence and Cosegmentation in Two Images: Tatsunori Taniai,
Sudipta N. Sinha,
Yoichi Sato; [pdf]
[bibtex]
@InProceedings{Taniai_2016_CVPR,
author = {Taniai, Tatsunori and Sinha, Sudipta N. and Sato, Yoichi},
title = {Joint Recovery of Dense Correspondence and Cosegmentation in Two Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multi-View People Tracking via Hierarchical Trajectory Composition: Yuanlu Xu,
Xiaobai Liu,
Yang Liu,
Song-Chun Zhu; [pdf]
[bibtex]
@InProceedings{Xu_2016_CVPR,
author = {Xu, Yuanlu and Liu, Xiaobai and Liu, Yang and Zhu, Song-Chun},
title = {Multi-View People Tracking via Hierarchical Trajectory Composition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Object Tracking via Dual Linear Structured SVM and Explicit Feature Map: Jifeng Ning,
Jimei Yang,
Shaojie Jiang,
Lei Zhang,
Ming-Hsuan Yang; [pdf]
[bibtex]
@InProceedings{Ning_2016_CVPR,
author = {Ning, Jifeng and Yang, Jimei and Jiang, Shaojie and Zhang, Lei and Yang, Ming-Hsuan},
title = {Object Tracking via Dual Linear Structured SVM and Explicit Feature Map},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Robust, Real-Time 3D Tracking of Multiple Objects With Similar Appearances: Taiki Sekii; [pdf]
[bibtex]
@InProceedings{Sekii_2016_CVPR,
author = {Sekii, Taiki},
title = {Robust, Real-Time 3D Tracking of Multiple Objects With Similar Appearances},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
An Egocentric Look at Video Photographer Identity: Yedid Hoshen,
Shmuel Peleg; [pdf]
[bibtex]
@InProceedings{Hoshen_2016_CVPR,
author = {Hoshen, Yedid and Peleg, Shmuel},
title = {An Egocentric Look at Video Photographer Identity},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking: Hyeonseob Nam,
Bohyung Han; [pdf]
[bibtex]
@InProceedings{Nam_2016_CVPR,
author = {Nam, Hyeonseob and Han, Bohyung},
title = {Learning Multi-Domain Convolutional Neural Networks for Visual Tracking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Hedged Deep Tracking: Yuankai Qi,
Shengping Zhang,
Lei Qin,
Hongxun Yao,
Qingming Huang,
Jongwoo Lim,
Ming-Hsuan Yang; [pdf]
[bibtex]
@InProceedings{Qi_2016_CVPR,
author = {Qi, Yuankai and Zhang, Shengping and Qin, Lei and Yao, Hongxun and Huang, Qingming and Lim, Jongwoo and Yang, Ming-Hsuan},
title = {Hedged Deep Tracking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Structural Correlation Filter for Robust Visual Tracking: Si Liu,
Tianzhu Zhang,
Xiaochun Cao,
Changsheng Xu; [pdf]
[bibtex]
@InProceedings{Liu_2016_CVPR,
author = {Liu, Si and Zhang, Tianzhu and Cao, Xiaochun and Xu, Changsheng},
title = {Structural Correlation Filter for Robust Visual Tracking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Visual Tracking Using Attention-Modulated Disintegration and Integration: Jongwon Choi,
Hyung Jin Chang,
Jiyeoup Jeong,
Yiannis Demiris,
Jin Young Choi; [pdf]
[bibtex]
@InProceedings{Choi_2016_CVPR,
author = {Choi, Jongwon and Jin Chang, Hyung and Jeong, Jiyeoup and Demiris, Yiannis and Young Choi, Jin},
title = {Visual Tracking Using Attention-Modulated Disintegration and Integration},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Continuous Occlusion Model for Road Scene Understanding: Vikas Dhiman,
Quoc-Huy Tran,
Jason J. Corso,
Manmohan Chandraker; [pdf]
[bibtex]
@InProceedings{Dhiman_2016_CVPR,
author = {Dhiman, Vikas and Tran, Quoc-Huy and Corso, Jason J. and Chandraker, Manmohan},
title = {A Continuous Occlusion Model for Road Scene Understanding},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Virtual Worlds as Proxy for Multi-Object Tracking Analysis: Adrien Gaidon,
Qiao Wang,
Yohann Cabon,
Eleonora Vig; [pdf]
[bibtex]
@InProceedings{Gaidon_2016_CVPR,
author = {Gaidon, Adrien and Wang, Qiao and Cabon, Yohann and Vig, Eleonora},
title = {Virtual Worlds as Proxy for Multi-Object Tracking Analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFs: Keisuke Midorikawa,
Toshihiko Yamasaki,
Kiyoharu Aizawa; [pdf]
[bibtex]
@InProceedings{Midorikawa_2016_CVPR,
author = {Midorikawa, Keisuke and Yamasaki, Toshihiko and Aizawa, Kiyoharu},
title = {Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach: Yvain Queau,
Roberto Mecca,
Jean-Denis Durou; [pdf]
[bibtex]
@InProceedings{Queau_2016_CVPR,
author = {Queau, Yvain and Mecca, Roberto and Durou, Jean-Denis},
title = {Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
3D Reconstruction of Transparent Objects With Position-Normal Consistency: Yiming Qian,
Minglun Gong,
Yee Hong Yang; [pdf]
[bibtex]
@InProceedings{Qian_2016_CVPR,
author = {Qian, Yiming and Gong, Minglun and Hong Yang, Yee},
title = {3D Reconstruction of Transparent Objects With Position-Normal Consistency},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Real-Time Depth Refinement for Specular Objects: Roy Or-El,
Rom Hershkovitz,
Aaron Wetzler,
Guy Rosman,
Alfred M. Bruckstein,
Ron Kimmel; [pdf]
[bibtex]
@InProceedings{Or-El_2016_CVPR,
author = {Or-El, Roy and Hershkovitz, Rom and Wetzler, Aaron and Rosman, Guy and Bruckstein, Alfred M. and Kimmel, Ron},
title = {Real-Time Depth Refinement for Specular Objects},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recovering Transparent Shape From Time-Of-Flight Distortion: Kenichiro Tanaka,
Yasuhiro Mukaigawa,
Hiroyuki Kubo,
Yasuyuki Matsushita,
Yasushi Yagi; [pdf]
[bibtex]
@InProceedings{Tanaka_2016_CVPR,
author = {Tanaka, Kenichiro and Mukaigawa, Yasuhiro and Kubo, Hiroyuki and Matsushita, Yasuyuki and Yagi, Yasushi},
title = {Recovering Transparent Shape From Time-Of-Flight Distortion},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Robust Light Field Depth Estimation for Noisy Scene With Occlusion: W. Williem,
In Kyu Park; [pdf]
[bibtex]
@InProceedings{Williem_2016_CVPR,
author = {Williem, W. and Kyu Park, In},
title = {Robust Light Field Depth Estimation for Noisy Scene With Occlusion},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Rotational Crossed-Slit Light Field: Nianyi Li,
Haiting Lin,
Bilin Sun,
Mingyuan Zhou,
Jingyi Yu; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Nianyi and Lin, Haiting and Sun, Bilin and Zhou, Mingyuan and Yu, Jingyi},
title = {Rotational Crossed-Slit Light Field},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Single Image Object Modeling Based on BRDF and R-Surfaces Learning: Fabrizio Natola,
Valsamis Ntouskos,
Fiora Pirri,
Marta Sanzari; [pdf]
[bibtex]
@InProceedings{Natola_2016_CVPR,
author = {Natola, Fabrizio and Ntouskos, Valsamis and Pirri, Fiora and Sanzari, Marta},
title = {Single Image Object Modeling Based on BRDF and R-Surfaces Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Nonlinear Regression Technique for Manifold Valued Data With Applications to Medical Image Analysis: Monami Banerjee,
Rudrasis Chakraborty,
Edward Ofori,
Michael S. Okun,
David E. Viallancourt,
Baba C. Vemuri; [pdf]
[bibtex]
@InProceedings{Banerjee_2016_CVPR,
author = {Banerjee, Monami and Chakraborty, Rudrasis and Ofori, Edward and Okun, Michael S. and Viallancourt, David E. and Vemuri, Baba C.},
title = {A Nonlinear Regression Technique for Manifold Valued Data With Applications to Medical Image Analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian With Application to Material Recognition: Qilong Wang,
Peihua Li,
Wangmeng Zuo,
Lei Zhang; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Qilong and Li, Peihua and Zuo, Wangmeng and Zhang, Lei},
title = {RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian With Application to Material Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability: Nikolaos Karianakis,
Jingming Dong,
Stefano Soatto; [pdf]
[bibtex]
@InProceedings{Karianakis_2016_CVPR,
author = {Karianakis, Nikolaos and Dong, Jingming and Soatto, Stefano},
title = {An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks: Varun Jampani,
Martin Kiefel,
Peter V. Gehler; [pdf]
[bibtex]
@InProceedings{Jampani_2016_CVPR,
author = {Jampani, Varun and Kiefel, Martin and Gehler, Peter V.},
title = {Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis: Fujiao Ju,
Yanfeng Sun,
Junbin Gao,
Simeng Liu,
Yongli Hu,
Baocai Yin; [pdf]
[bibtex]
@InProceedings{Ju_2016_CVPR,
author = {Ju, Fujiao and Sun, Yanfeng and Gao, Junbin and Liu, Simeng and Hu, Yongli and Yin, Baocai},
title = {Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Rolling Rotations for Recognizing Human Actions From 3D Skeletal Data: Raviteja Vemulapalli,
Rama Chellapa; [pdf]
[bibtex]
@InProceedings{Vemulapalli_2016_CVPR,
author = {Vemulapalli, Raviteja and Chellapa, Rama},
title = {Rolling Rotations for Recognizing Human Actions From 3D Skeletal Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Improving the Robustness of Deep Neural Networks via Stability Training: Stephan Zheng,
Yang Song,
Thomas Leung,
Ian Goodfellow; [pdf]
[bibtex]
@InProceedings{Zheng_2016_CVPR,
author = {Zheng, Stephan and Song, Yang and Leung, Thomas and Goodfellow, Ian},
title = {Improving the Robustness of Deep Neural Networks via Stability Training},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Logistic Boosting Regression for Label Distribution Learning: Chao Xing,
Xin Geng,
Hui Xue; [pdf]
[bibtex]
@InProceedings{Xing_2016_CVPR,
author = {Xing, Chao and Geng, Xin and Xue, Hui},
title = {Logistic Boosting Regression for Label Distribution Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold: Xikang Zhang,
Yin Wang,
Mengran Gou,
Mario Sznaier,
Octavia Camps; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Xikang and Wang, Yin and Gou, Mengran and Sznaier, Mario and Camps, Octavia},
title = {Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Reflectance Maps: Konstantinos Rematas,
Tobias Ritschel,
Mario Fritz,
Efstratios Gavves,
Tinne Tuytelaars; [pdf]
[bibtex]
@InProceedings{Rematas_2016_CVPR,
author = {Rematas, Konstantinos and Ritschel, Tobias and Fritz, Mario and Gavves, Efstratios and Tuytelaars, Tinne},
title = {Deep Reflectance Maps},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Semantic Filtering: Qingxiong Yang; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Qingxiong},
title = {Semantic Filtering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
UAV Sensor Fusion With Latent-Dynamic Conditional Random Fields in Coronal Plane Estimation: Amir M. Rahimi,
Raphael Ruschel,
B.S. Manjunath; [pdf]
[bibtex]
@InProceedings{Rahimi_2016_CVPR,
author = {Rahimi, Amir M. and Ruschel, Raphael and Manjunath, B.S.},
title = {UAV Sensor Fusion With Latent-Dynamic Conditional Random Fields in Coronal Plane Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Robust Visual Place Recognition With Graph Kernels: Elena Stumm,
Christopher Mei,
Simon Lacroix,
Juan Nieto,
Marco Hutter,
Roland Siegwart; [pdf]
[bibtex]
@InProceedings{Stumm_2016_CVPR,
author = {Stumm, Elena and Mei, Christopher and Lacroix, Simon and Nieto, Juan and Hutter, Marco and Siegwart, Roland},
title = {Robust Visual Place Recognition With Graph Kernels},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Semantic Image Segmentation With Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform: Liang-Chieh Chen,
Jonathan T. Barron,
George Papandreou,
Kevin Murphy,
Alan L. Yuille; [pdf]
[bibtex]
@InProceedings{Chen_2016_CVPR,
author = {Chen, Liang-Chieh and Barron, Jonathan T. and Papandreou, George and Murphy, Kevin and Yuille, Alan L.},
title = {Semantic Image Segmentation With Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Natural Language Object Retrieval: Ronghang Hu,
Huazhe Xu,
Marcus Rohrbach,
Jiashi Feng,
Kate Saenko,
Trevor Darrell; [pdf]
[bibtex]
@InProceedings{Hu_2016_CVPR,
author = {Hu, Ronghang and Xu, Huazhe and Rohrbach, Marcus and Feng, Jiashi and Saenko, Kate and Darrell, Trevor},
title = {Natural Language Object Retrieval},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
DenseCap: Fully Convolutional Localization Networks for Dense Captioning: Justin Johnson,
Andrej Karpathy,
Li Fei-Fei; [pdf]
[bibtex]
@InProceedings{Johnson_2016_CVPR,
author = {Johnson, Justin and Karpathy, Andrej and Fei-Fei, Li},
title = {DenseCap: Fully Convolutional Localization Networks for Dense Captioning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Unsupervised Learning From Narrated Instruction Videos: Jean-Baptiste Alayrac,
Piotr Bojanowski,
Nishant Agrawal,
Josef Sivic,
Ivan Laptev,
Simon Lacoste-Julien; [pdf]
[bibtex]
@InProceedings{Alayrac_2016_CVPR,
author = {Alayrac, Jean-Baptiste and Bojanowski, Piotr and Agrawal, Nishant and Sivic, Josef and Laptev, Ivan and Lacoste-Julien, Simon},
title = {Unsupervised Learning From Narrated Instruction Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks: Haonan Yu,
Jiang Wang,
Zhiheng Huang,
Yi Yang,
Wei Xu; [pdf]
[bibtex]
@InProceedings{Yu_2016_CVPR,
author = {Yu, Haonan and Wang, Jiang and Huang, Zhiheng and Yang, Yi and Xu, Wei},
title = {Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Jointly Modeling Embedding and Translation to Bridge Video and Language: Yingwei Pan,
Tao Mei,
Ting Yao,
Houqiang Li,
Yong Rui; [pdf]
[bibtex]
@InProceedings{Pan_2016_CVPR,
author = {Pan, Yingwei and Mei, Tao and Yao, Ting and Li, Houqiang and Rui, Yong},
title = {Jointly Modeling Embedding and Translation to Bridge Video and Language},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
We Are Humor Beings: Understanding and Predicting Visual Humor: Arjun Chandrasekaran,
Ashwin K. Vijayakumar,
Stanislaw Antol,
Mohit Bansal,
Dhruv Batra,
C. Lawrence Zitnick,
Devi Parikh; [pdf]
[bibtex]
@InProceedings{Chandrasekaran_2016_CVPR,
author = {Chandrasekaran, Arjun and Vijayakumar, Ashwin K. and Antol, Stanislaw and Bansal, Mohit and Batra, Dhruv and Lawrence Zitnick, C. and Parikh, Devi},
title = {We Are Humor Beings: Understanding and Predicting Visual Humor},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Where to Look: Focus Regions for Visual Question Answering: Kevin J. Shih,
Saurabh Singh,
Derek Hoiem; [pdf]
[bibtex]
@InProceedings{Shih_2016_CVPR,
author = {Shih, Kevin J. and Singh, Saurabh and Hoiem, Derek},
title = {Where to Look: Focus Regions for Visual Question Answering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge From External Sources: Qi Wu,
Peng Wang,
Chunhua Shen,
Anthony Dick,
Anton van den Hengel; [pdf]
[bibtex]
@InProceedings{Wu_2016_CVPR,
author = {Wu, Qi and Wang, Peng and Shen, Chunhua and Dick, Anthony and van den Hengel, Anton},
title = {Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge From External Sources},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
MovieQA: Understanding Stories in Movies Through Question-Answering: Makarand Tapaswi,
Yukun Zhu,
Rainer Stiefelhagen,
Antonio Torralba,
Raquel Urtasun,
Sanja Fidler; [pdf]
[bibtex]
@InProceedings{Tapaswi_2016_CVPR,
author = {Tapaswi, Makarand and Zhu, Yukun and Stiefelhagen, Rainer and Torralba, Antonio and Urtasun, Raquel and Fidler, Sanja},
title = {MovieQA: Understanding Stories in Movies Through Question-Answering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
TGIF: A New Dataset and Benchmark on Animated GIF Description: Yuncheng Li,
Yale Song,
Liangliang Cao,
Joel Tetreault,
Larry Goldberg,
Alejandro Jaimes,
Jiebo Luo; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Yuncheng and Song, Yale and Cao, Liangliang and Tetreault, Joel and Goldberg, Larry and Jaimes, Alejandro and Luo, Jiebo},
title = {TGIF: A New Dataset and Benchmark on Animated GIF Description},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Image Captioning With Semantic Attention: Quanzeng You,
Hailin Jin,
Zhaowen Wang,
Chen Fang,
Jiebo Luo; [pdf]
[bibtex]
@InProceedings{You_2016_CVPR,
author = {You, Quanzeng and Jin, Hailin and Wang, Zhaowen and Fang, Chen and Luo, Jiebo},
title = {Image Captioning With Semantic Attention},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Temporally Coherent 4D Reconstruction of Complex Dynamic Scenes: Armin Mustafa,
Hansung Kim,
Jean-Yves Guillemaut,
Adrian Hilton; [pdf]
[bibtex]
@InProceedings{Mustafa_2016_CVPR,
author = {Mustafa, Armin and Kim, Hansung and Guillemaut, Jean-Yves and Hilton, Adrian},
title = {Temporally Coherent 4D Reconstruction of Complex Dynamic Scenes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Consensus of Non-Rigid Reconstructions: Minsik Lee,
Jungchan Cho,
Songhwai Oh; [pdf]
[bibtex]
@InProceedings{Lee_2016_CVPR,
author = {Lee, Minsik and Cho, Jungchan and Oh, Songhwai},
title = {Consensus of Non-Rigid Reconstructions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Isometric Non-Rigid Shape-From-Motion in Linear Time: Shaifali Parashar,
Daniel Pizarro,
Adrien Bartoli; [pdf]
[bibtex]
@InProceedings{Parashar_2016_CVPR,
author = {Parashar, Shaifali and Pizarro, Daniel and Bartoli, Adrien},
title = {Isometric Non-Rigid Shape-From-Motion in Linear Time},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees: Jianhui Chen,
Hoang M. Le,
Peter Carr,
Yisong Yue,
James J. Little; [pdf]
[bibtex]
@InProceedings{Chen_2016_CVPR,
author = {Chen, Jianhui and Le, Hoang M. and Carr, Peter and Yue, Yisong and Little, James J.},
title = {Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Egocentric Future Localization: Hyun Soo Park,
Jyh-Jing Hwang,
Yedong Niu,
Jianbo Shi; [pdf]
[bibtex]
@InProceedings{Park_2016_CVPR,
author = {Soo Park, Hyun and Hwang, Jyh-Jing and Niu, Yedong and Shi, Jianbo},
title = {Egocentric Future Localization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids: Qifeng Chen,
Vladlen Koltun; [pdf]
[bibtex]
@InProceedings{Chen_2016_CVPR,
author = {Chen, Qifeng and Koltun, Vladlen},
title = {Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Structured Feature Learning for Pose Estimation: Xiao Chu,
Wanli Ouyang,
Hongsheng Li,
Xiaogang Wang; [pdf]
[bibtex]
@InProceedings{Chu_2016_CVPR,
author = {Chu, Xiao and Ouyang, Wanli and Li, Hongsheng and Wang, Xiaogang},
title = {Structured Feature Learning for Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Convolutional Pose Machines: Shih-En Wei,
Varun Ramakrishna,
Takeo Kanade,
Yaser Sheikh; [pdf]
[bibtex]
@InProceedings{Wei_2016_CVPR,
author = {Wei, Shih-En and Ramakrishna, Varun and Kanade, Takeo and Sheikh, Yaser},
title = {Convolutional Pose Machines},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Human Pose Estimation With Iterative Error Feedback: Joao Carreira,
Pulkit Agrawal,
Katerina Fragkiadaki,
Jitendra Malik; [pdf]
[bibtex]
@InProceedings{Carreira_2016_CVPR,
author = {Carreira, Joao and Agrawal, Pulkit and Fragkiadaki, Katerina and Malik, Jitendra},
title = {Human Pose Estimation With Iterative Error Feedback},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks: Thibaut Durand,
Nicolas Thome,
Matthieu Cord; [pdf]
[bibtex]
@InProceedings{Durand_2016_CVPR,
author = {Durand, Thibaut and Thome, Nicolas and Cord, Matthieu},
title = {WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
DisturbLabel: Regularizing CNN on the Loss Layer: Lingxi Xie,
Jingdong Wang,
Zhen Wei,
Meng Wang,
Qi Tian; [pdf]
[bibtex]
@InProceedings{Xie_2016_CVPR,
author = {Xie, Lingxi and Wang, Jingdong and Wei, Zhen and Wang, Meng and Tian, Qi},
title = {DisturbLabel: Regularizing CNN on the Loss Layer},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Gradual DropIn of Layers to Train Very Deep Neural Networks: Leslie N. Smith,
Emily M. Hand,
Timothy Doster; [pdf]
[bibtex]
@InProceedings{Smith_2016_CVPR,
author = {Smith, Leslie N. and Hand, Emily M. and Doster, Timothy},
title = {Gradual DropIn of Layers to Train Very Deep Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition: Zhiwei Deng,
Arash Vahdat,
Hexiang Hu,
Greg Mori; [pdf]
[bibtex]
@InProceedings{Deng_2016_CVPR,
author = {Deng, Zhiwei and Vahdat, Arash and Hu, Hexiang and Mori, Greg},
title = {Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep SimNets: Nadav Cohen,
Or Sharir,
Amnon Shashua; [pdf]
[bibtex]
@InProceedings{Cohen_2016_CVPR,
author = {Cohen, Nadav and Sharir, Or and Shashua, Amnon},
title = {Deep SimNets},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Studying Very Low Resolution Recognition Using Deep Networks: Zhangyang Wang,
Shiyu Chang,
Yingzhen Yang,
Ding Liu,
Thomas S. Huang; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Zhangyang and Chang, Shiyu and Yang, Yingzhen and Liu, Ding and Huang, Thomas S.},
title = {Studying Very Low Resolution Recognition Using Deep Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising: Raviteja Vemulapalli,
Oncel Tuzel,
Ming-Yu Liu; [pdf]
[bibtex]
@InProceedings{Vemulapalli_2016_CVPR,
author = {Vemulapalli, Raviteja and Tuzel, Oncel and Liu, Ming-Yu},
title = {Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Event-Specific Image Importance: Yufei Wang,
Zhe Lin,
Xiaohui Shen,
Radomir Mech,
Gavin Miller,
Garrison W. Cottrell; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Yufei and Lin, Zhe and Shen, Xiaohui and Mech, Radomir and Miller, Gavin and Cottrell, Garrison W.},
title = {Event-Specific Image Importance},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Quantized Convolutional Neural Networks for Mobile Devices: Jiaxiang Wu,
Cong Leng,
Yuhang Wang,
Qinghao Hu,
Jian Cheng; [pdf]
[bibtex]
@InProceedings{Wu_2016_CVPR,
author = {Wu, Jiaxiang and Leng, Cong and Wang, Yuhang and Hu, Qinghao and Cheng, Jian},
title = {Quantized Convolutional Neural Networks for Mobile Devices},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Inverting Visual Representations With Convolutional Networks: Alexey Dosovitskiy,
Thomas Brox; [pdf]
[bibtex]
@InProceedings{Dosovitskiy_2016_CVPR,
author = {Dosovitskiy, Alexey and Brox, Thomas},
title = {Inverting Visual Representations With Convolutional Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Pose-Aware Face Recognition in the Wild: Iacopo Masi,
Stephen Rawls,
Gerard Medioni,
Prem Natarajan; [pdf]
[bibtex]
@InProceedings{Masi_2016_CVPR,
author = {Masi, Iacopo and Rawls, Stephen and Medioni, Gerard and Natarajan, Prem},
title = {Pose-Aware Face Recognition in the Wild},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multi-View Deep Network for Cross-View Classification: Meina Kan,
Shiguang Shan,
Xilin Chen; [pdf]
[bibtex]
@InProceedings{Kan_2016_CVPR,
author = {Kan, Meina and Shan, Shiguang and Chen, Xilin},
title = {Multi-View Deep Network for Cross-View Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Sparsifying Neural Network Connections for Face Recognition: Yi Sun,
Xiaogang Wang,
Xiaoou Tang; [pdf]
[bibtex]
@InProceedings{Sun_2016_CVPR,
author = {Sun, Yi and Wang, Xiaogang and Tang, Xiaoou},
title = {Sparsifying Neural Network Connections for Face Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Pairwise Linear Regression Classification for Image Set Retrieval: Qingxiang Feng,
Yicong Zhou,
Rushi Lan; [pdf]
[bibtex]
@InProceedings{Feng_2016_CVPR,
author = {Feng, Qingxiang and Zhou, Yicong and Lan, Rushi},
title = {Pairwise Linear Regression Classification for Image Set Retrieval},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale: Ira Kemelmacher-Shlizerman,
Steven M. Seitz,
Daniel Miller,
Evan Brossard; [pdf]
[bibtex]
@InProceedings{Kemelmacher-Shlizerman_2016_CVPR,
author = {Kemelmacher-Shlizerman, Ira and Seitz, Steven M. and Miller, Daniel and Brossard, Evan},
title = {The MegaFace Benchmark: 1 Million Faces for Recognition at Scale },
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learnt Quasi-Transitive Similarity for Retrieval From Large Collections of Faces: Ognjen Arandjelovic; [pdf]
[bibtex]
@InProceedings{Arandjelovic_2016_CVPR,
author = {Arandjelovic, Ognjen},
title = {Learnt Quasi-Transitive Similarity for Retrieval From Large Collections of Faces},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition: Yandong Wen,
Zhifeng Li,
Yu Qiao; [pdf]
[bibtex]
@InProceedings{Wen_2016_CVPR,
author = {Wen, Yandong and Li, Zhifeng and Qiao, Yu},
title = {Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity: Robert Walecki,
Ognjen Rudovic,
Vladimir Pavlovic,
Maja Pantic; [pdf]
[bibtex]
@InProceedings{Walecki_2016_CVPR,
author = {Walecki, Robert and Rudovic, Ognjen and Pavlovic, Vladimir and Pantic, Maja},
title = {Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Robust Multilinear Model Learning Framework for 3D Faces: Timo Bolkart,
Stefanie Wuhrer; [pdf]
[bibtex]
@InProceedings{Bolkart_2016_CVPR,
author = {Bolkart, Timo and Wuhrer, Stefanie},
title = {A Robust Multilinear Model Learning Framework for 3D Faces},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Ordinal Regression With Multiple Output CNN for Age Estimation: Zhenxing Niu,
Mo Zhou,
Le Wang,
Xinbo Gao,
Gang Hua; [pdf]
[bibtex]
@InProceedings{Niu_2016_CVPR,
author = {Niu, Zhenxing and Zhou, Mo and Wang, Le and Gao, Xinbo and Hua, Gang},
title = {Ordinal Regression With Multiple Output CNN for Age Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation: Leonid Pishchulin,
Eldar Insafutdinov,
Siyu Tang,
Bjoern Andres,
Mykhaylo Andriluka,
Peter V. Gehler,
Bernt Schiele; [pdf]
[bibtex]
@InProceedings{Pishchulin_2016_CVPR,
author = {Pishchulin, Leonid and Insafutdinov, Eldar and Tang, Siyu and Andres, Bjoern and Andriluka, Mykhaylo and Gehler, Peter V. and Schiele, Bernt},
title = {DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation: Suha Kwak,
Minsu Cho,
Ivan Laptev; [pdf]
[bibtex]
@InProceedings{Kwak_2016_CVPR,
author = {Kwak, Suha and Cho, Minsu and Laptev, Ivan},
title = {Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Dual-Source Approach for 3D Pose Estimation From a Single Image: Hashim Yasin,
Umar Iqbal,
Bjorn Kruger,
Andreas Weber,
Juergen Gall; [pdf]
[bibtex]
@InProceedings{Yasin_2016_CVPR,
author = {Yasin, Hashim and Iqbal, Umar and Kruger, Bjorn and Weber, Andreas and Gall, Juergen},
title = {A Dual-Source Approach for 3D Pose Estimation From a Single Image},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficiently Creating 3D Training Data for Fine Hand Pose Estimation: Markus Oberweger,
Gernot Riegler,
Paul Wohlhart,
Vincent Lepetit; [pdf]
[bibtex]
@InProceedings{Oberweger_2016_CVPR,
author = {Oberweger, Markus and Riegler, Gernot and Wohlhart, Paul and Lepetit, Vincent},
title = {Efficiently Creating 3D Training Data for Fine Hand Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Sparseness Meets Deepness: 3D Human Pose Estimation From Monocular Video: Xiaowei Zhou,
Menglong Zhu,
Spyridon Leonardos,
Konstantinos G. Derpanis,
Kostas Daniilidis; [pdf]
[bibtex]
@InProceedings{Zhou_2016_CVPR,
author = {Zhou, Xiaowei and Zhu, Menglong and Leonardos, Spyridon and Derpanis, Konstantinos G. and Daniilidis, Kostas},
title = {Sparseness Meets Deepness: 3D Human Pose Estimation From Monocular Video},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Answer-Type Prediction for Visual Question Answering: Kushal Kafle,
Christopher Kanan; [pdf]
[bibtex]
@InProceedings{Kafle_2016_CVPR,
author = {Kafle, Kushal and Kanan, Christopher},
title = {Answer-Type Prediction for Visual Question Answering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes: Satwik Kottur,
Ramakrishna Vedantam,
Jose M. F. Moura,
Devi Parikh; [pdf]
[bibtex]
@InProceedings{Kottur_2016_CVPR,
author = {Kottur, Satwik and Vedantam, Ramakrishna and Moura, Jose M. F. and Parikh, Devi},
title = {Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Visual7W: Grounded Question Answering in Images: Yuke Zhu,
Oliver Groth,
Michael Bernstein,
Li Fei-Fei; [pdf]
[bibtex]
@InProceedings{Zhu_2016_CVPR,
author = {Zhu, Yuke and Groth, Oliver and Bernstein, Michael and Fei-Fei, Li},
title = {Visual7W: Grounded Question Answering in Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Deep Structure-Preserving Image-Text Embeddings: Liwei Wang,
Yin Li,
Svetlana Lazebnik; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Liwei and Li, Yin and Lazebnik, Svetlana},
title = {Learning Deep Structure-Preserving Image-Text Embeddings},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Yin and Yang: Balancing and Answering Binary Visual Questions: Peng Zhang,
Yash Goyal,
Douglas Summers-Stay,
Dhruv Batra,
Devi Parikh; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Peng and Goyal, Yash and Summers-Stay, Douglas and Batra, Dhruv and Parikh, Devi},
title = {Yin and Yang: Balancing and Answering Binary Visual Questions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
GIFT: A Real-Time and Scalable 3D Shape Search Engine: Song Bai,
Xiang Bai,
Zhichao Zhou,
Zhaoxiang Zhang,
Longin Jan Latecki; [pdf]
[bibtex]
@InProceedings{Bai_2016_CVPR,
author = {Bai, Song and Bai, Xiang and Zhou, Zhichao and Zhang, Zhaoxiang and Jan Latecki, Longin},
title = {GIFT: A Real-Time and Scalable 3D Shape Search Engine},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Functional Faces: Groupwise Dense Correspondence Using Functional Maps: Chao Zhang,
William A. P. Smith,
Arnaud Dessein,
Nick Pears,
Hang Dai; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Chao and Smith, William A. P. and Dessein, Arnaud and Pears, Nick and Dai, Hang},
title = {Functional Faces: Groupwise Dense Correspondence Using Functional Maps},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Similarity Metric For Curved Shapes In Euclidean Space: Girum G. Demisse,
Djamila Aouada,
Bjorn Ottersten; [pdf]
[bibtex]
@InProceedings{Demisse_2016_CVPR,
author = {Demisse, Girum G. and Aouada, Djamila and Ottersten, Bjorn},
title = {Similarity Metric For Curved Shapes In Euclidean Space},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Shape Analysis With Hyperbolic Wasserstein Distance: Jie Shi,
Wen Zhang,
Yalin Wang; [pdf]
[bibtex]
@InProceedings{Shi_2016_CVPR,
author = {Shi, Jie and Zhang, Wen and Wang, Yalin},
title = {Shape Analysis With Hyperbolic Wasserstein Distance},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Tensor Power Iteration for Multi-Graph Matching: Xinchu Shi,
Haibin Ling,
Weiming Hu,
Junliang Xing,
Yanning Zhang; [pdf]
[bibtex]
@InProceedings{Shi_2016_CVPR,
author = {Shi, Xinchu and Ling, Haibin and Hu, Weiming and Xing, Junliang and Zhang, Yanning},
title = {Tensor Power Iteration for Multi-Graph Matching},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multivariate Regression on the Grassmannian for Predicting Novel Domains: Yongxin Yang,
Timothy M. Hospedales; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Yongxin and Hospedales, Timothy M.},
title = {Multivariate Regression on the Grassmannian for Predicting Novel Domains},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation: Yao-Hung Hubert Tsai,
Yi-Ren Yeh,
Yu-Chiang Frank Wang; [pdf]
[bibtex]
@InProceedings{Tsai_2016_CVPR,
author = {Hubert Tsai, Yao-Hung and Yeh, Yi-Ren and Frank Wang, Yu-Chiang},
title = {Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Geospatial Correspondences for Multimodal Registration: Diego Marcos,
Raffay Hamid,
Devis Tuia; [pdf]
[bibtex]
@InProceedings{Marcos_2016_CVPR,
author = {Marcos, Diego and Hamid, Raffay and Tuia, Devis},
title = {Geospatial Correspondences for Multimodal Registration},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Constrained Deep Transfer Feature Learning and Its Applications: Yue Wu,
Qiang Ji; [pdf]
[bibtex]
@InProceedings{Wu_2016_CVPR,
author = {Wu, Yue and Ji, Qiang},
title = {Constrained Deep Transfer Feature Learning and Its Applications},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Canonical Time Warping: George Trigeorgis,
Mihalis A. Nicolaou,
Stefanos Zafeiriou,
Bjorn W. Schuller; [pdf]
[bibtex]
@InProceedings{Trigeorgis_2016_CVPR,
author = {Trigeorgis, George and Nicolaou, Mihalis A. and Zafeiriou, Stefanos and Schuller, Bjorn W.},
title = {Deep Canonical Time Warping},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multilinear Hyperplane Hashing: Xianglong Liu,
Xinjie Fan,
Cheng Deng,
Zhujin Li,
Hao Su,
Dacheng Tao; [pdf]
[bibtex]
@InProceedings{Liu_2016_CVPR,
author = {Liu, Xianglong and Fan, Xinjie and Deng, Cheng and Li, Zhujin and Su, Hao and Tao, Dacheng},
title = {Multilinear Hyperplane Hashing},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Large Scale Hard Sample Mining With Monte Carlo Tree Search: Olivier Canevet,
Francois Fleuret; [pdf]
[bibtex]
@InProceedings{Canevet_2016_CVPR,
author = {Canevet, Olivier and Fleuret, Francois},
title = {Large Scale Hard Sample Mining With Monte Carlo Tree Search},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Multi-Label Ranking From Positive and Unlabeled Data: Atsushi Kanehira,
Tatsuya Harada; [pdf]
[bibtex]
@InProceedings{Kanehira_2016_CVPR,
author = {Kanehira, Atsushi and Harada, Tatsuya},
title = {Multi-Label Ranking From Positive and Unlabeled Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Joint Unsupervised Learning of Deep Representations and Image Clusters: Jianwei Yang,
Devi Parikh,
Dhruv Batra; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Jianwei and Parikh, Devi and Batra, Dhruv},
title = {Joint Unsupervised Learning of Deep Representations and Image Clusters},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds: Ming Yin,
Yi Guo,
Junbin Gao,
Zhaoshui He,
Shengli Xie; [pdf]
[bibtex]
@InProceedings{Yin_2016_CVPR,
author = {Yin, Ming and Guo, Yi and Gao, Junbin and He, Zhaoshui and Xie, Shengli},
title = {Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Symmetry reCAPTCHA: Chris Funk,
Yanxi Liu; [pdf]
[bibtex]
@InProceedings{Funk_2016_CVPR,
author = {Funk, Chris and Liu, Yanxi},
title = {Symmetry reCAPTCHA},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Unsupervised Learning of Discriminative Attributes and Visual Representations: Chen Huang,
Chen Change Loy,
Xiaoou Tang; [pdf]
[bibtex]
@InProceedings{Huang_2016_CVPR,
author = {Huang, Chen and Change Loy, Chen and Tang, Xiaoou},
title = {Unsupervised Learning of Discriminative Attributes and Visual Representations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
When VLAD Met Hilbert: Mehrtash Harandi,
Mathieu Salzmann,
Fatih Porikli; [pdf]
[bibtex]
@InProceedings{Harandi_2016_CVPR,
author = {Harandi, Mehrtash and Salzmann, Mathieu and Porikli, Fatih},
title = {When VLAD Met Hilbert},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification: Ha Quang Minh,
Marco San Biagio,
Loris Bazzani,
Vittorio Murino; [pdf]
[bibtex]
@InProceedings{Minh_2016_CVPR,
author = {Quang Minh, Ha and San Biagio, Marco and Bazzani, Loris and Murino, Vittorio},
title = {Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming: Yongfang Cheng,
Yin Wang,
Mario Sznaier,
Octavia Camps; [pdf]
[bibtex]
@InProceedings{Cheng_2016_CVPR,
author = {Cheng, Yongfang and Wang, Yin and Sznaier, Mario and Camps, Octavia},
title = {Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Robust Tensor Factorization With Unknown Noise: Xi'ai Chen,
Zhi Han,
Yao Wang,
Qian Zhao,
Deyu Meng,
Yandong Tang; [pdf]
[bibtex]
@InProceedings{Chen_2016_CVPR,
author = {Chen, Xi'ai and Han, Zhi and Wang, Yao and Zhao, Qian and Meng, Deyu and Tang, Yandong},
title = {Robust Tensor Factorization With Unknown Noise},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning: Yusuke Mukuta,
Tatsuya Harada; [pdf]
[bibtex]
@InProceedings{Mukuta_2016_CVPR,
author = {Mukuta, Yusuke and Harada, Tatsuya},
title = {Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Active Learning for Delineation of Curvilinear Structures: Agata Mosinska-Domanska,
Raphael Sznitman,
Przemyslaw Glowacki,
Pascal Fua; [pdf]
[bibtex]
@InProceedings{Mosinska-Domanska_2016_CVPR,
author = {Mosinska-Domanska, Agata and Sznitman, Raphael and Glowacki, Przemyslaw and Fua, Pascal},
title = {Active Learning for Delineation of Curvilinear Structures},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion: Xavier Alameda-Pineda,
Elisa Ricci,
Yan Yan,
Nicu Sebe; [pdf]
[bibtex]
@InProceedings{Alameda-Pineda_2016_CVPR,
author = {Alameda-Pineda, Xavier and Ricci, Elisa and Yan, Yan and Sebe, Nicu},
title = {Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization: Canyi Lu,
Jiashi Feng,
Yudong Chen,
Wei Liu,
Zhouchen Lin,
Shuicheng Yan; [pdf]
[bibtex]
@InProceedings{Lu_2016_CVPR,
author = {Lu, Canyi and Feng, Jiashi and Chen, Yudong and Liu, Wei and Lin, Zhouchen and Yan, Shuicheng},
title = {Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Sliced Wasserstein Kernels for Probability Distributions: Soheil Kolouri,
Yang Zou,
Gustavo K. Rohde; [pdf]
[bibtex]
@InProceedings{Kolouri_2016_CVPR,
author = {Kolouri, Soheil and Zou, Yang and Rohde, Gustavo K.},
title = {Sliced Wasserstein Kernels for Probability Distributions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations: Xian Wei,
Hao Shen,
Martin Kleinsteuber; [pdf]
[bibtex]
@InProceedings{Wei_2016_CVPR,
author = {Wei, Xian and Shen, Hao and Kleinsteuber, Martin},
title = {Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency: Hisham Cholakkal,
Jubin Johnson,
Deepu Rajan; [pdf]
[bibtex]
@InProceedings{Cholakkal_2016_CVPR,
author = {Cholakkal, Hisham and Johnson, Jubin and Rajan, Deepu},
title = {Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language: Jun Xu,
Tao Mei,
Ting Yao,
Yong Rui; [pdf]
[bibtex]
@InProceedings{Xu_2016_CVPR,
author = {Xu, Jun and Mei, Tao and Yao, Ting and Rui, Yong},
title = {MSR-VTT: A Large Video Description Dataset for Bridging Video and Language},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition: Relja Arandjelovic,
Petr Gronat,
Akihiko Torii,
Tomas Pajdla,
Josef Sivic; [pdf]
[bibtex]
@InProceedings{Arandjelovic_2016_CVPR,
author = {Arandjelovic, Relja and Gronat, Petr and Torii, Akihiko and Pajdla, Tomas and Sivic, Josef},
title = {NetVLAD: CNN Architecture for Weakly Supervised Place Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Structural-RNN: Deep Learning on Spatio-Temporal Graphs: Ashesh Jain,
Amir R. Zamir,
Silvio Savarese,
Ashutosh Saxena; [pdf]
[bibtex]
@InProceedings{Jain_2016_CVPR,
author = {Jain, Ashesh and Zamir, Amir R. and Savarese, Silvio and Saxena, Ashutosh},
title = {Structural-RNN: Deep Learning on Spatio-Temporal Graphs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework: Yong-Deok Kim,
Taewoong Jang,
Bohyung Han,
Seungjin Choi; [pdf]
[bibtex]
@InProceedings{Kim_2016_CVPR,
author = {Kim, Yong-Deok and Jang, Taewoong and Han, Bohyung and Choi, Seungjin},
title = {Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Synthesized Classifiers for Zero-Shot Learning: Soravit Changpinyo,
Wei-Lun Chao,
Boqing Gong,
Fei Sha; [pdf]
[bibtex]
@InProceedings{Changpinyo_2016_CVPR,
author = {Changpinyo, Soravit and Chao, Wei-Lun and Gong, Boqing and Sha, Fei},
title = {Synthesized Classifiers for Zero-Shot Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Semi-Supervised Vocabulary-Informed Learning: Yanwei Fu,
Leonid Sigal; [pdf]
[bibtex]
@InProceedings{Fu_2016_CVPR,
author = {Fu, Yanwei and Sigal, Leonid},
title = {Semi-Supervised Vocabulary-Informed Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Simultaneous Clustering and Model Selection for Tensor Affinities: Zhuwen Li,
Shuoguang Yang,
Loong-Fah Cheong,
Kim-Chuan Toh; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Zhuwen and Yang, Shuoguang and Cheong, Loong-Fah and Toh, Kim-Chuan},
title = {Simultaneous Clustering and Model Selection for Tensor Affinities},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Discriminatively Embedded K-Means for Multi-View Clustering: Jinglin Xu,
Junwei Han,
Feiping Nie; [pdf]
[bibtex]
@InProceedings{Xu_2016_CVPR,
author = {Xu, Jinglin and Han, Junwei and Nie, Feiping},
title = {Discriminatively Embedded K-Means for Multi-View Clustering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Min Norm Point Algorithm for Higher Order MRF-MAP Inference: Ishant Shanu,
Chetan Arora,
Parag Singla; [pdf]
[bibtex]
@InProceedings{Shanu_2016_CVPR,
author = {Shanu, Ishant and Arora, Chetan and Singla, Parag},
title = {Min Norm Point Algorithm for Higher Order MRF-MAP Inference},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Deep Representation for Imbalanced Classification: Chen Huang,
Yining Li,
Chen Change Loy,
Xiaoou Tang; [pdf]
[bibtex]
@InProceedings{Huang_2016_CVPR,
author = {Huang, Chen and Li, Yining and Change Loy, Chen and Tang, Xiaoou},
title = {Learning Deep Representation for Imbalanced Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions: Vijay Kumar B G,
Gustavo Carneiro,
Ian Reid; [pdf]
[bibtex]
@InProceedings{G_2016_CVPR,
author = {Kumar B G, Vijay and Carneiro, Gustavo and Reid, Ian},
title = {Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors With Application to Texture Recognition: Piotr Koniusz,
Anoop Cherian; [pdf]
[bibtex]
@InProceedings{Koniusz_2016_CVPR,
author = {Koniusz, Piotr and Cherian, Anoop},
title = {Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors With Application to Texture Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Random Features for Sparse Signal Classification: Jen-Hao Rick Chang,
Aswin C. Sankaranarayanan,
B. V. K. Vijaya Kumar; [pdf]
[bibtex]
@InProceedings{Chang_2016_CVPR,
author = {Rick Chang, Jen-Hao and Sankaranarayanan, Aswin C. and Vijaya Kumar, B. V. K.},
title = {Random Features for Sparse Signal Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
High-Quality Depth From Uncalibrated Small Motion Clip: Hyowon Ha,
Sunghoon Im,
Jaesik Park,
Hae-Gon Jeon,
In So Kweon; [pdf]
[bibtex]
@InProceedings{Ha_2016_CVPR,
author = {Ha, Hyowon and Im, Sunghoon and Park, Jaesik and Jeon, Hae-Gon and So Kweon, In},
title = {High-Quality Depth From Uncalibrated Small Motion Clip},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient 3D Room Shape Recovery From a Single Panorama: Hao Yang,
Hui Zhang; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Hao and Zhang, Hui},
title = {Efficient 3D Room Shape Recovery From a Single Panorama},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Structured Prediction of Unobserved Voxels From a Single Depth Image: Michael Firman,
Oisin Mac Aodha,
Simon Julier,
Gabriel J. Brostow; [pdf]
[bibtex]
@InProceedings{Firman_2016_CVPR,
author = {Firman, Michael and Mac Aodha, Oisin and Julier, Simon and Brostow, Gabriel J.},
title = {Structured Prediction of Unobserved Voxels From a Single Depth Image},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
HyperDepth: Learning Depth From Structured Light Without Matching: Sean Ryan Fanello,
Christoph Rhemann,
Vladimir Tankovich,
Adarsh Kowdle,
Sergio Orts Escolano,
David Kim,
Shahram Izadi; [pdf]
[bibtex]
@InProceedings{Fanello_2016_CVPR,
author = {Ryan Fanello, Sean and Rhemann, Christoph and Tankovich, Vladimir and Kowdle, Adarsh and Orts Escolano, Sergio and Kim, David and Izadi, Shahram},
title = {HyperDepth: Learning Depth From Structured Light Without Matching},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
SVBRDF-Invariant Shape and Reflectance Estimation From Light-Field Cameras: Ting-Chun Wang,
Manmohan Chandraker,
Alexei A. Efros,
Ravi Ramamoorthi; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Ting-Chun and Chandraker, Manmohan and Efros, Alexei A. and Ramamoorthi, Ravi},
title = {SVBRDF-Invariant Shape and Reflectance Estimation From Light-Field Cameras},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Semantic 3D Reconstruction With Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint: Nikolay Savinov,
Christian Hane,
Lubor Ladicky,
Marc Pollefeys; [pdf]
[bibtex]
@InProceedings{Savinov_2016_CVPR,
author = {Savinov, Nikolay and Hane, Christian and Ladicky, Lubor and Pollefeys, Marc},
title = {Semantic 3D Reconstruction With Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Theory and Practice of Structure-From-Motion Using Affine Correspondences: Carolina Raposo,
Joao P. Barreto; [pdf]
[bibtex]
@InProceedings{Raposo_2016_CVPR,
author = {Raposo, Carolina and Barreto, Joao P.},
title = {Theory and Practice of Structure-From-Motion Using Affine Correspondences},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction: Silvano Galliani,
Konrad Schindler; [pdf]
[bibtex]
@InProceedings{Galliani_2016_CVPR,
author = {Galliani, Silvano and Schindler, Konrad},
title = {Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
From Dusk Till Dawn: Modeling in the Dark: Filip Radenovic,
Johannes L. Schonberger,
Dinghuang Ji,
Jan-Michael Frahm,
Ondrej Chum,
Jiri Matas; [pdf]
[bibtex]
@InProceedings{Radenovic_2016_CVPR,
author = {Radenovic, Filip and Schonberger, Johannes L. and Ji, Dinghuang and Frahm, Jan-Michael and Chum, Ondrej and Matas, Jiri},
title = {From Dusk Till Dawn: Modeling in the Dark},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Accelerated Generative Models for 3D Point Cloud Data: Benjamin Eckart,
Kihwan Kim,
Alejandro Troccoli,
Alonzo Kelly,
Jan Kautz; [pdf]
[bibtex]
@InProceedings{Eckart_2016_CVPR,
author = {Eckart, Benjamin and Kim, Kihwan and Troccoli, Alejandro and Kelly, Alonzo and Kautz, Jan},
title = {Accelerated Generative Models for 3D Point Cloud Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Monocular Depth Estimation Using Neural Regression Forest: Anirban Roy,
Sinisa Todorovic; [pdf]
[bibtex]
@InProceedings{Roy_2016_CVPR,
author = {Roy, Anirban and Todorovic, Sinisa},
title = {Monocular Depth Estimation Using Neural Regression Forest},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
DeepStereo: Learning to Predict New Views From the World's Imagery: John Flynn,
Ivan Neulander,
James Philbin,
Noah Snavely; [pdf]
[bibtex]
@InProceedings{Flynn_2016_CVPR,
author = {Flynn, John and Neulander, Ivan and Philbin, James and Snavely, Noah},
title = {DeepStereo: Learning to Predict New Views From the World's Imagery},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
WIDER FACE: A Face Detection Benchmark: Shuo Yang,
Ping Luo,
Chen-Change Loy,
Xiaoou Tang; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Shuo and Luo, Ping and Loy, Chen-Change and Tang, Xiaoou},
title = {WIDER FACE: A Face Detection Benchmark},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Situation Recognition: Visual Semantic Role Labeling for Image Understanding: Mark Yatskar,
Luke Zettlemoyer,
Ali Farhadi; [pdf]
[bibtex]
@InProceedings{Yatskar_2016_CVPR,
author = {Yatskar, Mark and Zettlemoyer, Luke and Farhadi, Ali},
title = {Situation Recognition: Visual Semantic Role Labeling for Image Understanding },
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A 3D Morphable Model Learnt From 10,000 Faces: James Booth,
Anastasios Roussos,
Stefanos Zafeiriou,
Allan Ponniah,
David Dunaway; [pdf]
[bibtex]
@InProceedings{Booth_2016_CVPR,
author = {Booth, James and Roussos, Anastasios and Zafeiriou, Stefanos and Ponniah, Allan and Dunaway, David},
title = {A 3D Morphable Model Learnt From 10,000 Faces},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Some Like It Hot - Visual Guidance for Preference Prediction: Rasmus Rothe,
Radu Timofte,
Luc Van Gool; [pdf]
[bibtex]
@InProceedings{Rothe_2016_CVPR,
author = {Rothe, Rasmus and Timofte, Radu and Van Gool, Luc},
title = {Some Like It Hot - Visual Guidance for Preference Prediction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild: C. Fabian Benitez-Quiroz,
Ramprakash Srinivasan,
Aleix M. Martinez; [pdf]
[bibtex]
@InProceedings{Benitez-Quiroz_2016_CVPR,
author = {Fabian Benitez-Quiroz, C. and Srinivasan, Ramprakash and Martinez, Aleix M.},
title = {EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching: Shuxin Ouyang,
Timothy M. Hospedales,
Yi-Zhe Song,
Xueming Li; [pdf]
[bibtex]
@InProceedings{Ouyang_2016_CVPR,
author = {Ouyang, Shuxin and Hospedales, Timothy M. and Song, Yi-Zhe and Li, Xueming},
title = {ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
LOMo: Latent Ordinal Model for Facial Analysis in Videos: Karan Sikka,
Gaurav Sharma,
Marian Bartlett; [pdf]
[bibtex]
@InProceedings{Sikka_2016_CVPR,
author = {Sikka, Karan and Sharma, Gaurav and Bartlett, Marian},
title = {LOMo: Latent Ordinal Model for Facial Analysis in Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation: Dipan K. Pal,
Felix Juefei-Xu,
Marios Savvides; [pdf]
[bibtex]
@InProceedings{Pal_2016_CVPR,
author = {Pal, Dipan K. and Juefei-Xu, Felix and Savvides, Marios},
title = {Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians: Peiyun Hu,
Deva Ramanan; [pdf]
[bibtex]
@InProceedings{Hu_2016_CVPR,
author = {Hu, Peiyun and Ramanan, Deva},
title = {Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Fits Like a Glove: Rapid and Reliable Hand Shape Personalization: David Joseph Tan,
Thomas Cashman,
Jonathan Taylor,
Andrew Fitzgibbon,
Daniel Tarlow,
Sameh Khamis,
Shahram Izadi,
Jamie Shotton; [pdf]
[bibtex]
@InProceedings{Tan_2016_CVPR,
author = {Joseph Tan, David and Cashman, Thomas and Taylor, Jonathan and Fitzgibbon, Andrew and Tarlow, Daniel and Khamis, Sameh and Izadi, Shahram and Shotton, Jamie},
title = {Fits Like a Glove: Rapid and Reliable Hand Shape Personalization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Slicing Convolutional Neural Network for Crowd Video Understanding: Jing Shao,
Chen-Change Loy,
Kai Kang,
Xiaogang Wang; [pdf]
[bibtex]
@InProceedings{Shao_2016_CVPR,
author = {Shao, Jing and Loy, Chen-Change and Kang, Kai and Wang, Xiaogang},
title = {Slicing Convolutional Neural Network for Crowd Video Understanding},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Linear Shape Deformation Models With Local Support Using Graph-Based Structured Matrix Factorisation: Florian Bernard,
Peter Gemmar,
Frank Hertel,
Jorge Goncalves,
Johan Thunberg; [pdf]
[bibtex]
@InProceedings{Bernard_2016_CVPR,
author = {Bernard, Florian and Gemmar, Peter and Hertel, Frank and Goncalves, Jorge and Thunberg, Johan},
title = {Linear Shape Deformation Models With Local Support Using Graph-Based Structured Matrix Factorisation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Motion From Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories: Jayakorn Vongkulbhisal,
Ricardo Cabral,
Fernando De la Torre,
Joao P. Costeira; [pdf]
[bibtex]
@InProceedings{Vongkulbhisal_2016_CVPR,
author = {Vongkulbhisal, Jayakorn and Cabral, Ricardo and De la Torre, Fernando and Costeira, Joao P.},
title = {Motion From Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Volumetric and Multi-View CNNs for Object Classification on 3D Data: Charles R. Qi,
Hao Su,
Matthias Niessner,
Angela Dai,
Mengyuan Yan,
Leonidas J. Guibas; [pdf]
[bibtex]
@InProceedings{Qi_2016_CVPR,
author = {Qi, Charles R. and Su, Hao and Niessner, Matthias and Dai, Angela and Yan, Mengyuan and Guibas, Leonidas J.},
title = {Volumetric and Multi-View CNNs for Object Classification on 3D Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Detecting Vanishing Points Using Global Image Context in a Non-Manhattan World: Menghua Zhai,
Scott Workman,
Nathan Jacobs; [pdf]
[bibtex]
@InProceedings{Zhai_2016_CVPR,
author = {Zhai, Menghua and Workman, Scott and Jacobs, Nathan},
title = {Detecting Vanishing Points Using Global Image Context in a Non-Manhattan World},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification: Chunyuan Li,
Andrew Stevens,
Changyou Chen,
Yunchen Pu,
Zhe Gan,
Lawrence Carin; [pdf]
[bibtex]
@InProceedings{Li_2016_CVPR,
author = {Li, Chunyuan and Stevens, Andrew and Chen, Changyou and Pu, Yunchen and Gan, Zhe and Carin, Lawrence},
title = {Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Field Model for Repairing 3D Shapes: Duc Thanh Nguyen,
Binh-Son Hua,
Khoi Tran,
Quang-Hieu Pham,
Sai-Kit Yeung; [pdf]
[bibtex]
@InProceedings{Nguyen_2016_CVPR,
author = {Thanh Nguyen, Duc and Hua, Binh-Son and Tran, Khoi and Pham, Quang-Hieu and Yeung, Sai-Kit},
title = {A Field Model for Repairing 3D Shapes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
GOGMA: Globally-Optimal Gaussian Mixture Alignment: Dylan Campbell,
Lars Petersson; [pdf]
[bibtex]
@InProceedings{Campbell_2016_CVPR,
author = {Campbell, Dylan and Petersson, Lars},
title = {GOGMA: Globally-Optimal Gaussian Mixture Alignment},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient Deep Learning for Stereo Matching: Wenjie Luo,
Alexander G. Schwing,
Raquel Urtasun; [pdf]
[bibtex]
@InProceedings{Luo_2016_CVPR,
author = {Luo, Wenjie and Schwing, Alexander G. and Urtasun, Raquel},
title = {Efficient Deep Learning for Stereo Matching},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Efficient Coarse-To-Fine PatchMatch for Large Displacement Optical Flow: Yinlin Hu,
Rui Song,
Yunsong Li; [pdf]
[bibtex]
@InProceedings{Hu_2016_CVPR,
author = {Hu, Yinlin and Song, Rui and Li, Yunsong},
title = {Efficient Coarse-To-Fine PatchMatch for Large Displacement Optical Flow},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
FANNG: Fast Approximate Nearest Neighbour Graphs: Ben Harwood,
Tom Drummond; [pdf]
[bibtex]
@InProceedings{Harwood_2016_CVPR,
author = {Harwood, Ben and Drummond, Tom},
title = {FANNG: Fast Approximate Nearest Neighbour Graphs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Exemplar-Driven Top-Down Saliency Detection via Deep Association: Shengfeng He,
Rynson W.H. Lau,
Qingxiong Yang; [pdf]
[bibtex]
@InProceedings{He_2016_CVPR,
author = {He, Shengfeng and Lau, Rynson W.H. and Yang, Qingxiong},
title = {Exemplar-Driven Top-Down Saliency Detection via Deep Association},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Unconstrained Salient Object Detection via Proposal Subset Optimization: Jianming Zhang,
Stan Sclaroff,
Zhe Lin,
Xiaohui Shen,
Brian Price,
Radomir Mech; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Jianming and Sclaroff, Stan and Lin, Zhe and Shen, Xiaohui and Price, Brian and Mech, Radomir},
title = {Unconstrained Salient Object Detection via Proposal Subset Optimization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation: Sina Honari,
Jason Yosinski,
Pascal Vincent,
Christopher Pal; [pdf]
[bibtex]
@InProceedings{Honari_2016_CVPR,
author = {Honari, Sina and Yosinski, Jason and Vincent, Pascal and Pal, Christopher},
title = {Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
End-To-End Saliency Mapping via Probability Distribution Prediction: Saumya Jetley,
Naila Murray,
Eleonora Vig; [pdf]
[bibtex]
@InProceedings{Jetley_2016_CVPR,
author = {Jetley, Saumya and Murray, Naila and Vig, Eleonora},
title = {End-To-End Saliency Mapping via Probability Distribution Prediction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
A Paradigm for Building Generalized Models of Human Image Perception Through Data Fusion: Shaojing Fan,
Tian-Tsong Ng,
Bryan L. Koenig,
Ming Jiang,
Qi Zhao; [pdf]
[bibtex]
@InProceedings{Fan_2016_CVPR,
author = {Fan, Shaojing and Ng, Tian-Tsong and Koenig, Bryan L. and Jiang, Ming and Zhao, Qi},
title = {A Paradigm for Building Generalized Models of Human Image Perception Through Data Fusion},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines: Chi Nhan Duong,
Khoa Luu,
Kha Gia Quach,
Tien D. Bui; [pdf]
[bibtex]
@InProceedings{Duong_2016_CVPR,
author = {Nhan Duong, Chi and Luu, Khoa and Gia Quach, Kha and Bui, Tien D.},
title = {Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation: Srinivas S. S. Kruthiventi,
Vennela Gudisa,
Jaley H. Dholakiya,
R. Venkatesh Babu; [pdf]
[bibtex]
@InProceedings{Kruthiventi_2016_CVPR,
author = {Kruthiventi, Srinivas S. S. and Gudisa, Vennela and Dholakiya, Jaley H. and Venkatesh Babu, R.},
title = {Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Estimating Correspondences of Deformable Objects "In-The-Wild": Yuxiang Zhou,
Epameinondas Antonakos,
Joan Alabort-i-Medina,
Anastasios Roussos,
Stefanos Zafeiriou; [pdf]
[bibtex]
@InProceedings{Zhou_2016_CVPR,
author = {Zhou, Yuxiang and Antonakos, Epameinondas and Alabort-i-Medina, Joan and Roussos, Anastasios and Zafeiriou, Stefanos},
title = {Estimating Correspondences of Deformable Objects "In-The-Wild"},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Gravitational Approach for Point Set Registration: Vladislav Golyanik,
Sk Aziz Ali,
Didier Stricker; [pdf]
[bibtex]
@InProceedings{Golyanik_2016_CVPR,
author = {Golyanik, Vladislav and Aziz Ali, Sk and Stricker, Didier},
title = {Gravitational Approach for Point Set Registration},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Context-Aware Gaussian Fields for Non-Rigid Point Set Registration: Gang Wang,
Zhicheng Wang,
Yufei Chen,
Qiangqiang Zhou,
Weidong Zhao; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Gang and Wang, Zhicheng and Chen, Yufei and Zhou, Qiangqiang and Zhao, Weidong},
title = {Context-Aware Gaussian Fields for Non-Rigid Point Set Registration},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Trust No One: Low Rank Matrix Factorization Using Hierarchical RANSAC: Magnus Oskarsson,
Kenneth Batstone,
Kalle Astrom; [pdf]
[bibtex]
@InProceedings{Oskarsson_2016_CVPR,
author = {Oskarsson, Magnus and Batstone, Kenneth and Astrom, Kalle},
title = {Trust No One: Low Rank Matrix Factorization Using Hierarchical RANSAC},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Relaxation-Based Preprocessing Techniques for Markov Random Field Inference: Chen Wang,
Ramin Zabih; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Chen and Zabih, Ramin},
title = {Relaxation-Based Preprocessing Techniques for Markov Random Field Inference},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Sparse Coding for Classification via Discrimination Ensemble: Yuhui Quan,
Yong Xu,
Yuping Sun,
Yan Huang,
Hui Ji; [pdf]
[bibtex]
@InProceedings{Quan_2016_CVPR,
author = {Quan, Yuhui and Xu, Yong and Sun, Yuping and Huang, Yan and Ji, Hui},
title = {Sparse Coding for Classification via Discrimination Ensemble},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Principled Parallel Mean-Field Inference for Discrete Random Fields: Pierre Baque,
Timur Bagautdinov,
Francois Fleuret,
Pascal Fua; [pdf]
[bibtex]
@InProceedings{Baque_2016_CVPR,
author = {Baque, Pierre and Bagautdinov, Timur and Fleuret, Francois and Fua, Pascal},
title = {Principled Parallel Mean-Field Inference for Discrete Random Fields},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Guaranteed Outlier Removal With Mixed Integer Linear Programs: Tat-Jun Chin,
Yang Heng Kee,
Anders Eriksson,
Frank Neumann; [pdf]
[bibtex]
@InProceedings{Chin_2016_CVPR,
author = {Chin, Tat-Jun and Heng Kee, Yang and Eriksson, Anders and Neumann, Frank},
title = {Guaranteed Outlier Removal With Mixed Integer Linear Programs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Memory Efficient Max Flow for Multi-Label Submodular MRFs: Thalaiyasingam Ajanthan,
Richard Hartley,
Mathieu Salzmann; [pdf]
[bibtex]
@InProceedings{Ajanthan_2016_CVPR,
author = {Ajanthan, Thalaiyasingam and Hartley, Richard and Salzmann, Mathieu},
title = {Memory Efficient Max Flow for Multi-Label Submodular MRFs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization: Mingkui Tan,
Shijie Xiao,
Junbin Gao,
Dong Xu,
Anton van den Hengel,
Qinfeng Shi; [pdf]
[bibtex]
@InProceedings{Tan_2016_CVPR,
author = {Tan, Mingkui and Xiao, Shijie and Gao, Junbin and Xu, Dong and van den Hengel, Anton and Shi, Qinfeng},
title = {Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Minimizing the Maximal Rank: Erik Bylow,
Carl Olsson,
Fredrik Kahl,
Mikael Nilsson; [pdf]
[bibtex]
@InProceedings{Bylow_2016_CVPR,
author = {Bylow, Erik and Olsson, Carl and Kahl, Fredrik and Nilsson, Mikael},
title = {Minimizing the Maximal Rank},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Solving Temporal Puzzles: Caglayan Dicle,
Burak Yilmaz,
Octavia Camps,
Mario Sznaier; [pdf]
[bibtex]
@InProceedings{Dicle_2016_CVPR,
author = {Dicle, Caglayan and Yilmaz, Burak and Camps, Octavia and Sznaier, Mario},
title = {Solving Temporal Puzzles},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity: Sohil Shah,
Tom Goldstein,
Christoph Studer; [pdf]
[bibtex]
@InProceedings{Shah_2016_CVPR,
author = {Shah, Sohil and Goldstein, Tom and Studer, Christoph},
title = {Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
TenSR: Multi-Dimensional Tensor Sparse Representation: Na Qi,
Yunhui Shi,
Xiaoyan Sun,
Baocai Yin; [pdf]
[bibtex]
@InProceedings{Qi_2016_CVPR,
author = {Qi, Na and Shi, Yunhui and Sun, Xiaoyan and Yin, Baocai},
title = {TenSR: Multi-Dimensional Tensor Sparse Representation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Moral Lineage Tracing: Florian Jug,
Evgeny Levinkov,
Corinna Blasse,
Eugene W. Myers,
Bjoern Andres; [pdf]
[bibtex]
@InProceedings{Jug_2016_CVPR,
author = {Jug, Florian and Levinkov, Evgeny and Blasse, Corinna and Myers, Eugene W. and Andres, Bjoern},
title = {Moral Lineage Tracing},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach: Behrooz Nasihatkon,
Frida Fejne,
Fredrik Kahl; [pdf]
[bibtex]
@InProceedings{Nasihatkon_2016_CVPR,
author = {Nasihatkon, Behrooz and Fejne, Frida and Kahl, Fredrik},
title = {Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity: Haichuan Yang,
Yijun Huang,
Lam Tran,
Ji Liu,
Shuai Huang; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Haichuan and Huang, Yijun and Tran, Lam and Liu, Ji and Huang, Shuai},
title = {On Benefits of Selection Diversity via Bilevel Exclusive Sparsity},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Fast Training of Triplet-Based Deep Binary Embedding Networks: Bohan Zhuang,
Guosheng Lin,
Chunhua Shen,
Ian Reid; [pdf]
[bibtex]
@InProceedings{Zhuang_2016_CVPR,
author = {Zhuang, Bohan and Lin, Guosheng and Shen, Chunhua and Reid, Ian},
title = {Fast Training of Triplet-Based Deep Binary Embedding Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction: Aayush Bansal,
Bryan Russell,
Abhinav Gupta; [pdf]
[bibtex]
@InProceedings{Bansal_2016_CVPR,
author = {Bansal, Aayush and Russell, Bryan and Gupta, Abhinav},
title = {Marr Revisited: 2D-3D Alignment via Surface Normal Prediction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning: Ziad Al-Halah,
Makarand Tapaswi,
Rainer Stiefelhagen; [pdf]
[bibtex]
@InProceedings{Al-Halah_2016_CVPR,
author = {Al-Halah, Ziad and Tapaswi, Makarand and Stiefelhagen, Rainer},
title = {Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Fast Zero-Shot Image Tagging: Yang Zhang,
Boqing Gong,
Mubarak Shah; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Yang and Gong, Boqing and Shah, Mubarak},
title = {Fast Zero-Shot Image Tagging},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Modality and Component Aware Feature Fusion For RGB-D Scene Classification: Anran Wang,
Jianfei Cai,
Jiwen Lu,
Tat-Jen Cham; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Anran and Cai, Jianfei and Lu, Jiwen and Cham, Tat-Jen},
title = {Modality and Component Aware Feature Fusion For RGB-D Scene Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
PPP: Joint Pointwise and Pairwise Image Label Prediction: Yilin Wang,
Suhang Wang,
Jiliang Tang,
Huan Liu,
Baoxin Li; [pdf]
[bibtex]
@InProceedings{Wang_2016_CVPR,
author = {Wang, Yilin and Wang, Suhang and Tang, Jiliang and Liu, Huan and Li, Baoxin},
title = {PPP: Joint Pointwise and Pairwise Image Label Prediction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees: Jan D. Wegner,
Steven Branson,
David Hall,
Konrad Schindler,
Pietro Perona; [pdf]
[bibtex]
@InProceedings{Wegner_2016_CVPR,
author = {Wegner, Jan D. and Branson, Steven and Hall, David and Schindler, Konrad and Perona, Pietro},
title = {Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Deep Exemplar 2D-3D Detection by Adapting From Real to Rendered Views: Francisco Massa,
Bryan C. Russell,
Mathieu Aubry; [pdf]
[bibtex]
@InProceedings{Massa_2016_CVPR,
author = {Massa, Francisco and Russell, Bryan C. and Aubry, Mathieu},
title = {Deep Exemplar 2D-3D Detection by Adapting From Real to Rendered Views},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
Zero-Shot Learning via Joint Latent Similarity Embedding: Ziming Zhang,
Venkatesh Saligrama; [pdf]
[bibtex]
@InProceedings{Zhang_2016_CVPR,
author = {Zhang, Ziming and Saligrama, Venkatesh},
title = {Zero-Shot Learning via Joint Latent Similarity Embedding},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}
CRAFT Objects From Images: Bin Yang,
Junjie Yan,
Zhen Lei,
Stan Z. Li; [pdf]
[bibtex]
@InProceedings{Yang_2016_CVPR,
author = {Yang, Bin and Yan, Junjie and Lei, Zhen and Li, Stan Z.},
title = {CRAFT Objects From Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}; from: http://www.cv-foundation.org/openaccess/CVPR2016.py

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