CVPR 2016-11-18

[1] arXiv:1611.05842 [pdf, other]
Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey
用于海洋环境目标检测与跟踪的视频处理的光电传感器
D. K. Prasad, D. Rajan, L. Rachmawati, E. Rajabaly, C. Quek
Comments: 23 pages
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[2] arXiv:1611.05837 [pdf, other]
AutoScaler: Scale-Attention Networks for Visual Correspondence
AutoScaler：视觉注意网络通信量
Shenlong Wang, Linjie Luo, Ning Zhang, Jia Li
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[3] arXiv:1611.05799 [pdf, other]
The Freiburg Groceries Dataset
弗莱堡杂货数据集
Philipp Jund, Nichola Abdo, Andreas Eitel, Wolfram Burgard
Comments: Link to dataset: this http URL Link to code: this https URL
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[4] arXiv:1611.05777 [pdf, other]
DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins
DeeperBind：增强序列特异性DNA结合蛋白的预测
Hamid Reza Hassanzadeh, May D. Wang
Comments: in 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[5] arXiv:1611.05760 [pdf, other]
Examining the Impact of Blur on Recognition by Convolutional Networks
用卷积网络研究模糊对识别的影响
Igor Vasiljevic, Ayan Chakrabarti, Gregory Shakhnarovich
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[6] arXiv:1611.05755 [pdf, other]
Cross-Domain Face Verification: Matching ID Document and Self-Portrait Photographs
跨域人脸验证：匹配的身份证明文件和自画像照片
Guilherme Folego, Marcus A. Angeloni, José Augusto Stuchi, Alan Godoy, Anderson Rocha
Comments: XII WORKSHOP DE VIS\~AO COMPUTACIONAL (Campo Grande, Brazil). In XII Workshop de Vis\~ao Computacional (pp. 311-316) (2016)
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[7] arXiv:1611.05744 [pdf, other]
Compensating for Large In-Plane Rotations in Natural Images
自然图像中大平面旋转的补偿
Lokesh Boominathan, Suraj Srinivas, R. Venkatesh Babu
Comments: Accepted at Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[8] arXiv:1611.05742 [pdf, other]
Building Deep Networks on Grassmann Manifolds
Grassmann流形上建立深度网络
Zhiwu Huang, Jiqing Wu, Luc Van Gool
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[9] arXiv:1611.05725 [pdf, other]
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
PolyNet：极度深度网络结构多样性的追求
Xingcheng Zhang, Zhizhong Li, Chen Change Loy, Dahua Lin
Comments: Tech report
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[10] arXiv:1611.05720 [pdf, other]
Hard-Aware Deeply Cascaded Embedding
硬意识深层级联嵌入
Yuhui Yuan, Kuiyuan Yang, Chao Zhang
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[11] arXiv:1611.05709 [pdf, other]
Factorized Bilinear Models for Image Recognition
双线性模型分解为图像识别
Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[12] arXiv:1611.05708 [pdf, other]
Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation
融合二维不确定性和三维线索的单目人体姿态估计
Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[13] arXiv:1611.05705 [pdf, other]
DSAC - Differentiable RANSAC for Camera Localization
DSAC-可微的RANSAC相机的定位
Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[14] arXiv:1611.05689 [pdf, other]
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo
实时密集立体的成本-体积聚合的端到端学习
Andrey Kuzmin, Dmitry Mikushin, Victor Lempitsky
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[15] arXiv:1611.05666 [pdf, ps, other]
A Discriminatively Learned CNN Embedding for Person Re-identification
差异学习的CNN 嵌入的人重新鉴定
Zhedong Zheng, Liang Zheng, Yi Yang
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[16] arXiv:1611.05664 [pdf, other]
Learning to detect and localize many objects from few examples
学习如何从几个例子中检测和定位多个对象
Bastien Moysset, Christoper Kermorvant, Christian Wolf
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)

[17] arXiv:1611.05644 [pdf, other]
Inverting The Generator Of A Generative Adversarial Network
转换生成的对抗网络的生成器
Antonia Creswell, Anil Anthony Bharath
Comments: Accepted at NIPS 2016 Workshop on Adversarial Training
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)

[18] arXiv:1611.05607 [pdf, other]
Optical Flow Requires Multiple Strategies (but only one network)
光流需要多种策略（但只有一个网络）
Tal Schuster, Lior Wolf, David Gadot
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[19] arXiv:1611.05603 [pdf, other]
Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization
行人属性识别与定位中的弱监督学习
Kai Yu, Biao Leng, Zhang Zhang, Dangwei Li, Kaiqi Huang
Comments: Containing 9 pages and 5 figures. Codes open-sourced on this https URL
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[20] arXiv:1611.05594 [pdf, other]
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
SCA-CNN：空间和通道上的专注在图像字幕的卷积网络
Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Tat-Seng Chua
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[21] arXiv:1611.05592 [pdf, other]
Multimodal Memory Modelling for Video Captioning
视频字幕多记忆模型
Junbo Wang, Wei Wang, Yan Huang, Liang Wang, Tieniu Tan
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[22] arXiv:1611.05588 [pdf, other]
Instance-aware Image and Sentence Matching with Selective Multimodal LSTM
实例感知图像和句子匹配多方式选择的LSTM
Yan Huang, Wei Wang, Liang Wang
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[23] arXiv:1611.05552 [pdf, other]
DelugeNets: Deep Networks with Massive and Flexible Cross-layer Information Inflows
DelugeNets：巨大的和灵活的跨层信息流入深度网络
Jason Kuen, Xiangfei Kong, Gang Wang
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)

[24] arXiv:1611.05546 [pdf, other]
Zero-Shot Visual Question Answering
零镜头视觉问答
Damien Teney, Anton van den Hengel
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)

[25] arXiv:1611.05520 [pdf, other]
Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation
活动识别和预期的深度行动和上下文感知序列学习
Mohammad Sadegh Aliakbarian, Fatemehsadat Saleh, Basura Fernando, Mathieu Salzmann, Lars Petersson, Lars Andersson
Comments: 10 pages, 4 figures, 7 tables. arXiv admin note: text overlap with arXiv:1601.00740 by other authors
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[26] arXiv:1611.05507 [pdf, other]
Deep Feature Interpolation for Image Content Changes
图像内容变化的深度特征插值
Paul Upchurch, Jacob Gardner, Kavita Bala, Robert Pless, Noah Snavely, Kilian Weinberger
Comments: First two authors contributed equally. Submitted to CVPR 2017
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[27] arXiv:1611.05503 [pdf, other]
On the Exploration of Convolutional Fusion Networks for Visual Recognition
关于卷积融合网络视觉识别的探索
Yu Liu, Yanming Guo, Michael S. Lew
Comments: 23rd International Conference on MultiMedia Modeling (MMM 2017)
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[28] arXiv:1611.05490 [pdf, other]
Semantic Regularisation for Recurrent Image Annotation
经常性的图像标注语义的正则化
Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[29] arXiv:1611.05479 [pdf, other]
Probabilistic Fluorescence-Based Synapse Detection
基于概率荧光的突触检测
Anish K. Simhal, Cecilia Aguerrebere, Forrest Collman, Joshua T. Vogelstein, Kristina D. Micheva, Richard J. Weinberg, Stephen J. Smith, Guillermo Sapiro
Comments: Current awaiting peer review
Subjects: Computer Vision and Pattern Recognition (cs.CV); Neurons and Cognition (q-bio.NC)

[30] arXiv:1611.05476 [pdf, other]
Self-calibration-based Approach to Critical Motion Sequences of Rolling-shutter Structure from Motion
基于运动的卷帘结构关键运动序列的自标定方法
Eisuke Ito, Takayuki Okatani
Subjects: Computer Vision and Pattern Recognition (cs.CV)