CVPR 2016-11-23

[1] arXiv:1611.07485 [pdf, other]
Scene Labeling using Recurrent Neural Networks with Explicit Long Range Contextual Dependency
使用具有显式长距离上下文依赖的递归神经网络的场景标记
Qiangui Huang, Weiyue Wang, Kevin Zhou, Suya You, Ulrich Neumann
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[2] arXiv:1611.07385 [pdf, other]
Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading
智能图书馆：用丰富的监督的深度场景文本阅读库中的书籍
Xiao Yang, Dafang He, Wenyi Huang, Zihan Zhou, Alex Ororbia, Dan Kifer, C. Lee Giles
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[3] arXiv:1611.07289 [pdf, other]
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI
PVR：胎儿大面积运动MRI的校正补丁容积重建
Amir Alansary, Bernhard Kainz, Martin Rajchl, Maria Murgasova, Mellisa Damodaram, David F.A. Lloyd, Alice Davidson, Steven G. McDonagh, Mary Rutherford, Joseph V. Hajnal, Daniel Rueckert
Comments: 10 pages, 13 figures, submitted to IEEE Transactions on Medical Imaging
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[4] arXiv:1611.07285 [pdf, other]
Active learning with version spaces for object detection
主动学习与版本空间的对象检测
Soumya Roy, Vinay P. Namboodiri, Arijit Biswas
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[5] arXiv:1611.07245 [pdf, other]
Deep Single and Direct Multi-View Depth Fusion
深度单一直接多视角的深度融合
José M. Fácil, Alejo Concha, Luis Montesano, Javier Civera
Comments: Submitted to the International Conference on Robotics and Automation (ICRA) 2017
Subjects: Computer Vision and Pattern Recognition (cs.CV); Robotics (cs.RO)

[6] arXiv:1611.07233 [pdf, other]
CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression
CAS-CNN：深度卷积神经网络的图像压缩伪影抑制
Lukas Cavigelli, Pascal Hager, Luca Benini
Comments: 8 pages
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Graphics (cs.GR); Information Retrieval (cs.IR); Multimedia (cs.MM)

[7] arXiv:1611.07231 [pdf]
A Spatial and Temporal Non-Local Filter Based Data Fusion
基于空间和时间的非局部滤波器的数据融合
Qing Cheng, Huiqing Liu, Huanfeng Shen, Penghai Wu, Liangpei Zhang
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[8] arXiv:1611.07218 [pdf]
Object detection can be improved using human-derived contextual expectations
人类派生的上下文期望的使用可以提高目标检测
Harish Katti, Marius V. Peelen, S. P. Arun
Subjects: Computer Vision and Pattern Recognition (cs.CV); Neurons and Cognition (q-bio.NC)

[9] arXiv:1611.07212 [pdf, other]
Recurrent Attention Models for Depth-Based Person Identification
基于深度的人识别的递归注意模型
Albert Haque, Alexandre Alahi, Li Fei-Fei
Comments: Computer Vision and Pattern Recognition (CVPR) 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[10] arXiv:1611.07156 [pdf, other]
Exploiting Web Images for Dataset Construction: A Domain Robust Approach
利用Web图像的数据集构建：一个域强大的方法
Yazhou Yao, Jian Zhang, Fumin Shen, Xiansheng Hua, Jingsong Xu, Zhenmin Tang
Subjects: Computer Vision and Pattern Recognition (cs.CV); Multimedia (cs.MM)

[11] arXiv:1611.07145 [pdf, ps, other]
Learning Multi-level Deep Representations for Image Emotion Classification
用于图像情感分类的学习多层次深度表示
Tianrong Rao, Min Xu, Dong Xu
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[12] arXiv:1611.07143 [pdf, other]
Learning Multi-level Features For Sensor-based Human Action Recognition
基于传感器的人体动作识别的多层次特征学习
Yan Xu, Zhengyang Shen, Xin Zhang, Yifan Gao, Shujian Deng, Yipei Wang, Yubo Fan, Eric I-Chao Chang
Comments: 28 pages, 23 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[13] arXiv:1611.07136 [pdf]
Cascaded Neural Networks with Selective Classifiers and its evaluation using Lung X-ray CT Images
具有选择性分类器的级联神经网络及其在肺部X射线CT图像中的应用
Masaharu Sakamoto, Hiroki Nakano
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[14] arXiv:1611.07119 [pdf, other]
Max-Margin Deep Generative Models for (Semi-)Supervised Learning
（半）监督学习的最大边深度生成模型
Chongxuan Li, Jun Zhu, Bo Zhang
Comments: arXiv admin note: substantial text overlap with arXiv:1504.06787
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG); Machine Learning (stat.ML)

[15] arXiv:1611.07492 (cross-list from stat.ML) [pdf, other]
Inducing Interpretable Representations with Variational Autoencoders
陈述变化自编码器的诱导解释
N. Siddharth, Brooks Paige, Alban Desmaison, Jan-Willem Van de Meent, Frank Wood, Noah D. Goodman, Pushmeet Kohli, Philip H.S. Torr
Comments: Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems
Subjects: Machine Learning (stat.ML); Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)

[16] arXiv:1611.07450 (cross-list from stat.ML) [pdf, other]
Grad-CAM: Why did you say that?
Grad-CAM：你为什么这么说？
Ramprasaath R Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra
Comments: Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems. This is an extended abstract version of arXiv:1610.02391
Subjects: Machine Learning (stat.ML); Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)

[17] arXiv:1611.07390 (cross-list from physics.med-ph) [pdf, other]
3D Image Reconstruction from X-Ray Measurements with Overlap
用重叠的X射线测量的三维图像重建
Maria Klodt, Raphael Hauser
Comments: Published in Computer Vision - ECCV 2016. The final publication is available at link.springer.com/chapter/10.1007/978-3-319-46466-4_2
Subjects: Medical Physics (physics.med-ph); Computer Vision and Pattern Recognition (cs.CV)

[18] arXiv:1611.07369 (cross-list from math.OC) [pdf, other]
Geometry of 3D Environments and Sum of Squares Polynomials
三维环境的几何与平方多项式的和
Amir Ali Ahmadi, Georgina Hall, Ameesh Makadia, Vikas Sindhwani
Subjects: Optimization and Control (math.OC); Computational Geometry (cs.CG); Computer Vision and Pattern Recognition (cs.CV); Graphics (cs.GR)

[19] arXiv:1611.07191 (cross-list from cs.DS) [pdf, other]
Distributable Consistent Multi-Graph Matching
分派多图的一致匹配
Nan Hu, Boris Thibert, Leonidas Guibas
Subjects: Data Structures and Algorithms (cs.DS); Computer Vision and Pattern Recognition (cs.CV)