-
Notifications
You must be signed in to change notification settings - Fork 1.3k
Files
/
Copy pathcvpr2018-paper-list.csv
1272 lines (1272 loc) · 259 KB
/
cvpr2018-paper-list.csv
1 | Paper ID | Type | Title | Author(s) |
|---|---|---|---|---|
2 | 5 | Poster | Single-Shot Refinement Neural Network for Object Detection | Shifeng Zhang, CBSR, NLPR, CASIA; Longyin Wen, GE Global Research Center; Xiao Bian, ; Zhen Lei, Chinese Academy of Sciences ; Stan Li, |
3 | 7 | Poster | Video Captioning via Hierarchical Reinforcement Learning | Xin Wang, UCSB; Wenhu Chen, ; Jiawei Wu, UCSB; Yuan-Fang Wang, UCSB; William Yang Wang, UCSB |
4 | 12 | Oral | DensePose: Multi-Person Dense Human Pose Estimation In The Wild | Alp Guler, INRIA; Natalia Neverova, Facebook AI Research; Iasonas Kokkinos, FAIR/UCL |
5 | 12 | Poster | DensePose: Multi-Person Dense Human Pose Estimation In The Wild | Alp Guler, INRIA; Natalia Neverova, Facebook AI Research; Iasonas Kokkinos, FAIR/UCL |
6 | 19 | Poster | Frustum PointNets for 3D Object Detection from RGB-D Data | Charles R. Qi, Stanford University; Wei Liu, ; Chenxia Wu, ; hao Su, ; Leonidas J. Guibas, |
7 | 21 | Poster | Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge | Damien Teney, Unversity of Adelaide; Peter Anderson, Australian National University; Xiaodong He, ; Anton Van den Hengel, University of Adelaide |
8 | 24 | Poster | Rethinking the Faster R-CNN Architecture for Temporal Action Localization | Yu-Wei Chao, University of Michigan; Sudheendra Vijayanarasimhan, Google Research; Bryan Seybold, Google Research; David Ross, Google Research; Jia Deng, ; Rahul Sukthankar, Google Research |
9 | 27 | Spotlight | Shape from Shading through Shape Evolution | Dawei Yang, University of Michigan; Jia Deng, |
10 | 27 | Poster | Shape from Shading through Shape Evolution | Dawei Yang, University of Michigan; Jia Deng, |
11 | 34 | Poster | A High-Quality Denoising Dataset for Smartphone Cameras | Abdelrahman Abdelhamed, York University; Stephen Lin, Microsoft Research Asia, China; Michael Brown, York University |
12 | 35 | Poster | Improving Color Reproduction Accuracy in the Camera Imaging Pipeline | Hakki Karaimer, York University; Michael Brown, York University |
13 | 37 | Spotlight | End-to-End Dense Video Captioning with Masked Transformer | Luowei Zhou, University of Michigan; Yingbo Zhou, Salesforce; Jason Corso, ; Richard Socher, Meta-Mind; Caiming Xiong, Salesforce |
14 | 37 | Poster | End-to-End Dense Video Captioning with Masked Transformer | Luowei Zhou, University of Michigan; Yingbo Zhou, Salesforce; Jason Corso, ; Richard Socher, Meta-Mind; Caiming Xiong, Salesforce |
15 | 41 | Poster | pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment | Je Hyeong Hong, University of Cambridge; Christopher Zach, Toshiba Research |
16 | 47 | Poster | Learning to Segment Every Thing | Ronghang Hu, UC Berkeley; Piotr Dollar, Facebook AI Research, Menlo Park, USA; Kaiming He, ; Trevor Darrell, UC Berkeley, USA; Ross Girshick, |
17 | 48 | Poster | Density-aware Single Image De-raining using a Multi-stream Dense Network | He Zhang, Rutgers; Vishal Patel, |
18 | 49 | Poster | Densely Connected Pyramid Dehazing Network | He Zhang, Rutgers; Vishal Patel, |
19 | 52 | Poster | Embodied Question Answering | Abhishek Das, Georgia Tech; Samyak Datta, Georgia Tech; Georgia Gkioxari, Facebook; Devi Parikh, Georgia Tech; Dhruv Batra, Georgia Tech; Stefan Lee, Georgia Tech |
20 | 53 | Spotlight | TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays | Xiaosong Wang, NIH; Yifan Peng, NIH NLM; Le Lu, Nvidia Corp; Zhiyong Lu, ; Ronald Summers, |
21 | 53 | Poster | TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays | Xiaosong Wang, NIH; Yifan Peng, NIH NLM; Le Lu, Nvidia Corp; Zhiyong Lu, ; Ronald Summers, |
22 | 64 | Poster | Towards Open-Set Identity Preserving Face Synthesis | Jianmin Bao, USTC; Dong Chen, Microsoft Research Asia; Fang Wen, ; Houqiang Li, ; Gang Hua, Microsoft Research |
23 | 67 | Poster | Baseline Desensitizing In Translation Averaging | Bingbing Zhuang, National University of Singapore; Loong Fah Cheong, National University of Singapore; Gim Hee Lee, National University of SIngapore |
24 | 68 | Poster | Learning from the Deep: A Revised Underwater Image Formation Model | Derya Akkaynak, University of Haifa; Tali Treibitz, University of Haifa |
25 | 76 | Oral | Context Encoding for Semantic Segmentation | Hang Zhang, Rutgers University; Kristin Dana, ; Jianping Shi, SenseTime; Zhongyue Zhang, Amazon; Xiaogang Wang, Chinese University of Hong Kong; Ambrish Tyagi, Amazon; Amit Agrawal, Amazon |
26 | 76 | Poster | Context Encoding for Semantic Segmentation | Hang Zhang, Rutgers University; Kristin Dana, ; Jianping Shi, SenseTime; Zhongyue Zhang, Amazon; Xiaogang Wang, Chinese University of Hong Kong; Ambrish Tyagi, Amazon; Amit Agrawal, Amazon |
27 | 77 | Poster | Deep Texture Manifold for Ground Terrain Recognition | Jia Xue, Rutgers; Hang Zhang, Rutgers University; Kristin Dana, |
28 | 83 | Poster | DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems | Florian Bernard, ; Christian Theobalt, MPI Informatics; Michael Moeller, University of Siegen |
29 | 85 | Poster | Sparse, Smart Contours to Represent and Edit Images | Tali Dekel, Google; Dilip Krishnan, Google; Chuang Gan, Tsinghua University; Ce Liu, Google, Cambridge, USA; William Freeman, Google |
30 | 92 | Poster | Every Smile is Unique: Landmark-guided Diverse Smile Generation | Wei Wang, University of Trento; Xavier Alameda-Pineda, University of Trento; Dan Xu, ; Elisa Ricci, U. Perugia; Nicu Sebe, University of Trento |
31 | 95 | Poster | Generative Non-Rigid Shape Completion with Graph Convolutional Autoencoders | Or Litany, Tel Aviv University; Alex Bronstein, ; Michael Bronstein, ; Ameesh Makadia, Google Research |
32 | 97 | Poster | Learning a Discriminative Prior for Blind Image Deblurring | Lerenhan Li, HUST; Jinshan Pan, UC Merced; Wei-Sheng Lai, University of California, Merced; Changxin Gao, HUST; Nong Sang, ; Ming-Hsuan Yang, UC Merced |
33 | 100 | Poster | Attentional ShapeContextNet for Point Cloud Recognition | Saining Xie, UCSD; Sainan Liu, UCSD; Zeyu Chen, UCSD; Zhuowen Tu, UCSD, USA |
34 | 102 | Poster | Learning Superpixels with Segmentation-Aware Affinity Loss | Wei-Chih Tu, National Taiwan University; Ming-Yu Liu, NVIDIA; Varun Jampani, NVIDIA Research; Deqing Sun, NVIDIA; Shao-Yi Chien, National Taiwan University; Ming-Hsuan Yang, UC Merced; Jan Kautz, NVIDIA |
35 | 103 | Spotlight | Real-World Repetition Estimation by Div, Grad and Curl | Tom Runia, University of Amsterdam; Cees Snoek, University of Amsterdam; Arnold Smeulders, University of Amsterdam, Netherlands |
36 | 103 | Poster | Real-World Repetition Estimation by Div, Grad and Curl | Tom Runia, University of Amsterdam; Cees Snoek, University of Amsterdam; Arnold Smeulders, University of Amsterdam, Netherlands |
37 | 106 | Poster | Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation | Qihang Yu, Peking University; Lingxi Xie, UCLA; Yan Wang, JHU; Yuyin Zhou, JHU; Elliot Fishman, ; Alan Yuille, JHU |
38 | 109 | Poster | MegaDepth: Learning Single-View Depth Prediction from Internet Photos | Zhengqi Li, Cornell University; Noah Snavely, Cornell University / Google |
39 | 110 | Spotlight | Learning Intrinsic Image Decomposition from Watching the World | Zhengqi Li, Cornell University; Noah Snavely, Cornell University / Google |
40 | 110 | Poster | Learning Intrinsic Image Decomposition from Watching the World | Zhengqi Li, Cornell University; Noah Snavely, Cornell University / Google |
41 | 112 | Poster | Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering | Aishwarya Agrawal, Georgia Institute of Technology; Dhruv Batra, Georgia Tech; Devi Parikh, Georgia Tech; Aniruddha Kembhavi, Allen Institute for Artificial Intelligence |
42 | 116 | Poster | Human-centric Indoor Scene Synthesis Using Stochastic Grammar | Siyuan Qi, UCLA; Yixin Zhu, UCLA; Siyuan Huang, UCLA; Chenfanfu Jiang, ; Song-Chun Zhu, |
43 | 120 | Poster | Learning by Asking Questions | Ishan Misra, CMU; Ross Girshick, ; Rob Fergus, New York University; Martial Hebert, Carnegie Mellon University; Abhinav Gupta, ; Laurens van der Maaten, Facebook |
44 | 121 | Poster | Instance Embedding Transfer to Unsupervised Video Object Segmentation | Siyang Li, USC; Bryan Seybold, Google Research; Alexey Vorobyov, Google Inc.; Alireza Fathi, Stanford University; Qin Huang, University of Southern California; C.-C. Jay Kuo, University of Southern California |
45 | 122 | Poster | Detect-and-Track: Efficient Pose Estimation in Videos | Rohit Girdhar, CMU; Georgia Gkioxari, Facebook; Lorenzo Torresani, Darthmout College, USA; Manohar Paluri, ; Du Tran, Dartmouth College |
46 | 124 | Poster | Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval | Chao Li, Xidian University; Cheng Deng, Xidian University; Ning Li, Xidian University; Wei Liu, ; Dacheng Tao, University of Sydney; Xinbo Gao, |
47 | 125 | Poster | Guided Proofreading of Automatic Segmentations for Connectomics | Daniel Haehn, Harvard University; Verena Kaynig, ; James Tompkin, Brown University; Jeff Lichtman, Harvard University; Hanspeter Pfister, Harvard University |
48 | 128 | Oral | Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation | Seungryul Baek, Imperial College London; Kwang In Kim, University of Bath; Tae-Kyun Kim, Imperial College London |
49 | 128 | Poster | Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation | Seungryul Baek, Imperial College London; Kwang In Kim, University of Bath; Tae-Kyun Kim, Imperial College London |
50 | 130 | Poster | Context-aware Synthesis for Video Frame Interpolation | Simon Niklaus, Portland State University; Feng Liu, Portland State University |
51 | 131 | Poster | 2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning | Diogo Luvizon, ETIS Lab; David Picard, ETIS /LIP6; Hedi Tabia, ETIS / ENSEA |
52 | 135 | Poster | NAG: Network for Adversary Generation | Konda Reddy Mopuri, Indian Institute of Science; Utkarsh Ojha, MNNIT Allahabad; Utsav Garg, Nanyang Technological University; Venkatesh Babu Radhakrishnan, Indian Institute of Science |
53 | 136 | Spotlight | LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation | Tak-Wai Hui, The Chinese University of Hong Kong; Chen-Change Loy, the Chinese University of Hong Kong; Xiaoou Tang, Chinese University of Hong Kong |
54 | 136 | Poster | LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation | Tak-Wai Hui, The Chinese University of Hong Kong; Chen-Change Loy, the Chinese University of Hong Kong; Xiaoou Tang, Chinese University of Hong Kong |
55 | 137 | Poster | Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration | Lu Sheng, The Chinese University of HK; Jing Shao, The Sensetime Group Limited; Ziyi Lin, SenseTime Co. Ltd.; Xiaogang Wang, Chinese University of Hong Kong |
56 | 142 | Spotlight | Multi-view Harmonized Bilinear Network for 3D Object Recognition | Tan Yu, Nanyang Technological Univ; Jingjing Meng, ; Junsong Yuan, Nanyang Technological University |
57 | 142 | Poster | Multi-view Harmonized Bilinear Network for 3D Object Recognition | Tan Yu, Nanyang Technological Univ; Jingjing Meng, ; Junsong Yuan, Nanyang Technological University |
58 | 144 | Spotlight | Tangent Convolutions for Dense Prediction in 3D | Maxim Tatarchenko, Freiburg; Jaesik Park, Intel Labs; Qian-Yi Zhou, ABQ Technologies; Vladlen Koltun, Intel Labs |
59 | 144 | Poster | Tangent Convolutions for Dense Prediction in 3D | Maxim Tatarchenko, Freiburg; Jaesik Park, Intel Labs; Qian-Yi Zhou, ABQ Technologies; Vladlen Koltun, Intel Labs |
60 | 145 | Oral | Semi-parametric Image Synthesis | Xiaojuan Qi, CUHK; Qifeng Chen, Intel Labs; Jiaya Jia, Chinese University of Hong Kong; Vladlen Koltun, Intel Labs |
61 | 145 | Poster | Semi-parametric Image Synthesis | Xiaojuan Qi, CUHK; Qifeng Chen, Intel Labs; Jiaya Jia, Chinese University of Hong Kong; Vladlen Koltun, Intel Labs |
62 | 147 | Poster | Interactive Image Segmentation with Latent Diversity | Zhuwen Li, Intel Labs; Qifeng Chen, Intel Labs; Vladlen Koltun, Intel Labs |
63 | 155 | Spotlight | 3D Hand Pose Estimation: From Current Achievements to Future Goals | Shanxin Yuan, Imperial College London; Guillermo Garcia-Hernando, Imperial College London; Bjorn Stenger, ; Tae-Kyun Kim, Imperial College London; Gyeongsik Moon, Seoul National University; Ju Yong Chang, Kwangwoon University; Kyoung Mu Lee, ; Pavlo Molchanov, NVIDIA Research; Liuhao Ge, NTU; Junsong Yuan, Nanyang Technological University; Xinghao Chen, Tsinghua University; Guijin Wang, Tsinghua University; Fan Yang, Nara institute of science and technology; Kai Akiyama, Nara Institute of Science and Technology; Yang Wu, Nara Institute of Science and Technology; Qingfu Wan, Fudan University; Meysam Madadi, Autonomus University of Barcelona and Computer Vision Center, Barcelona, Spain; Sergio Escalera, University of Barcelona; Shile Li, Technical University of Munich; Dongheui Lee, Technical University of Munich; Iason Oikonomidis, FORTH; Antonis Argyros, FORTH |
64 | 155 | Poster | 3D Hand Pose Estimation: From Current Achievements to Future Goals | Shanxin Yuan, Imperial College London; Guillermo Garcia-Hernando, Imperial College London; Bjorn Stenger, ; Tae-Kyun Kim, Imperial College London; Gyeongsik Moon, Seoul National University; Ju Yong Chang, Kwangwoon University; Kyoung Mu Lee, ; Pavlo Molchanov, NVIDIA Research; Liuhao Ge, NTU; Junsong Yuan, Nanyang Technological University; Xinghao Chen, Tsinghua University; Guijin Wang, Tsinghua University; Fan Yang, Nara institute of science and technology; Kai Akiyama, Nara Institute of Science and Technology; Yang Wu, Nara Institute of Science and Technology; Qingfu Wan, Fudan University; Meysam Madadi, Autonomus University of Barcelona and Computer Vision Center, Barcelona, Spain; Sergio Escalera, University of Barcelona; Shile Li, Technical University of Munich; Dongheui Lee, Technical University of Munich; Iason Oikonomidis, FORTH; Antonis Argyros, FORTH |
65 | 165 | Poster | W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection | Yongqiang Zhang, Harbin institute of Technology/KAUST; Yancheng Bai, Kaust/Iscas; Mingli Ding, ; Yongqiang Li, ; Bernard Ghanem, |
66 | 167 | Spotlight | BlockDrop: Dynamic Inference Paths in Residual Networks | Zuxuan Wu, University of Maryland; Tushar Nagarajan, University of Texas at Austin; Abhishek Kumar, ; Steven Rennie, ; Larry Davis, University of Maryland, USA; Kristen Grauman, ; Rogerio Feris, IBM |
67 | 167 | Poster | BlockDrop: Dynamic Inference Paths in Residual Networks | Zuxuan Wu, University of Maryland; Tushar Nagarajan, University of Texas at Austin; Abhishek Kumar, ; Steven Rennie, ; Larry Davis, University of Maryland, USA; Kristen Grauman, ; Rogerio Feris, IBM |
68 | 168 | Spotlight | MapNet: Geometry-Aware Learning of Maps for Camera Localization | Samarth Brahmbhatt, Georgia Tech; Jinwei Gu, NVIDIA; Kihwan Kim, NVIDIA Research; James Hays, Georgia Tech; Jan Kautz, NVIDIA |
69 | 168 | Poster | MapNet: Geometry-Aware Learning of Maps for Camera Localization | Samarth Brahmbhatt, Georgia Tech; Jinwei Gu, NVIDIA; Kihwan Kim, NVIDIA Research; James Hays, Georgia Tech; Jan Kautz, NVIDIA |
70 | 170 | Poster | BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning | Ziming Zhang, MERL; Yuanwei Wu, University of Kansas; Guanghui Wang, University of Kansas |
71 | 178 | Poster | Salient Object Detection Driven by Fixation Prediction | Wenguan Wang, Beijing Institute of Technology; Jianbing Shen, Beijing Institute of Technolog; Xingping Dong, Beijing Institute of Technology; Ali Borji, UCF |
72 | 179 | Poster | 3D Object Detection with Latent Support Surfaces | Zhile Ren, Brown University; Erik Sudderth, UC Irvine |
73 | 181 | Oral | Practical Block-wise Neural Network Architecture Generation | Zhao Zhong, Institute of Automation,CAS; Junjie Yan, ; Wei Wu, ; Jing Shao, The Sensetime Group Limited; cheng-lin Liu, |
74 | 181 | Poster | Practical Block-wise Neural Network Architecture Generation | Zhao Zhong, Institute of Automation,CAS; Junjie Yan, ; Wei Wu, ; Jing Shao, The Sensetime Group Limited; cheng-lin Liu, |
75 | 182 | Poster | Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points | Fabien Baradel, LIRIS, INSA-Lyon; Christian Wolf, INRIA, INSA-Lyon, CITI, LIRIS; Julien Mille, INSA Val de Loire; Graham Taylor, University of Guelph |
76 | 185 | Oral | Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning | Qi Wu, University of Adelaide; Peng Wang, ; Chunhua Shen, University of Adelaide; Ian Reid, ; Anton Van den Hengel, University of Adelaide |
77 | 185 | Poster | Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning | Qi Wu, University of Adelaide; Peng Wang, ; Chunhua Shen, University of Adelaide; Ian Reid, ; Anton Van den Hengel, University of Adelaide |
78 | 186 | Poster | Visual Grounding via Accumulated Attention | chaorui Deng, ; Qi Wu, University of Adelaide; Fuyuan Hu, ; Fan Lyu, Suzhou University of Science and Technology; Mingkui Tan, South China University of Technology; Qingyao Wu, School of Software Engineering, South China University of Technology |
79 | 191 | Poster | Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors | Xuanyi Dong, UTS; Shoou-I Yu, Oculus; Xinshuo Weng, Carnegie Mellon University; Shih-En Wei, Oculus Research; Yi Yang, ; Yaser Sheikh, |
80 | 195 | Poster | ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing | Jian Zhang, KAUST; Bernard Ghanem, |
81 | 200 | Poster | Perturbative Neural Networks: Rethinking Convolution in CNNs | Felix Juefei-Xu, Carnegie Mellon University; Vishnu Naresh Boddeti, Michigan State University; Marios Savvides, Carnegie Mellon University |
82 | 203 | Spotlight | Nonlinear 3D Face Morphable Model | LUAN TRAN, Michigan State University; Xiaoming Liu, Michigan State University |
83 | 203 | Poster | Nonlinear 3D Face Morphable Model | LUAN TRAN, Michigan State University; Xiaoming Liu, Michigan State University |
84 | 205 | Spotlight | Neural Baby Talk | Jiasen Lu, Georgia Institute of Technology; Jianwei Yang, Georgia Tech; Dhruv Batra, Georgia Tech; Devi Parikh, Georgia Tech |
85 | 205 | Poster | Neural Baby Talk | Jiasen Lu, Georgia Institute of Technology; Jianwei Yang, Georgia Tech; Dhruv Batra, Georgia Tech; Devi Parikh, Georgia Tech |
86 | 216 | Poster | Towards Pose Invariant Face Recognition in the Wild | Jian Zhao, NUS; Yu Cheng, Nanyang Technological University; Yan Xu, Core Technology Group, Learning & Vision, Panasonic R&D Center Singapore; Lin Xiong, Core Technology Group, Learning & Vision, Panasonic R&D Center Singapore; Jianshu Li, National University of Singapo; Fang Zhao, National University of Singapore; Karlekar Jayashree, Core Technology Group, Learning & Vision, Panasonic R&D Center Singapore; Sugiri Pranata, Core Technology Group, Learning & Vision, Panasonic R&D Center Singapore; Shengmei Shen, Core Technology Group, Learning & Vision, Panasonic R&D Center Singapore; Junliang Xing, Institute of Automation, Chinese Academy of Sciences; Shuicheng Yan, National University of Singapore; Jiashi Feng, |
87 | 224 | Poster | MoNet: Deep Motion Exploitation for Video Object Segmentation | Huaxin Xiao, Nudt; Jiashi Feng, ; Guosheng Lin, Nanyang Technological Universi; Yu Liu, NUDT; Maojun Zhang, |
88 | 229 | Poster | Exploring Disentangled Feature Representation Beyond Face Identification | Yu Liu, CUHK; Fangyin Wei, Peking University; Jing Shao, The Sensetime Group Limited; Lu Sheng, The Chinese University of HK; Junjie Yan, ; Xiaogang Wang, Chinese University of Hong Kong |
89 | 232 | Poster | Towards Effective Low-bitwidth Convolutional Neural Networks | Bohan Zhuang, The University of Adelaide; Chunhua Shen, University of Adelaide; Mingkui Tan, South China University of Technology; Lingqiao Liu, University of Adelaide; Ian Reid, |
90 | 234 | Poster | Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries | Bohan Zhuang, The University of Adelaide; Qi Wu, University of Adelaide; Chunhua Shen, University of Adelaide; Ian Reid, ; Anton Van den Hengel, University of Adelaide |
91 | 237 | Poster | Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering | Kaili Zhao, Beijing University of Post & T; Wen-Sheng Chu, Carnegie Mellon University; Aleix Martinez, The ohio state university |
92 | 242 | Spotlight | Few-Shot Image Recognition by Predicting Parameters from Activations | Siyuan Qiao, Johns Hopkins University; Chenxi Liu, JHU; Wei Shen, Shanghai University; Alan Yuille, |
93 | 242 | Poster | Few-Shot Image Recognition by Predicting Parameters from Activations | Siyuan Qiao, Johns Hopkins University; Chenxi Liu, JHU; Wei Shen, Shanghai University; Alan Yuille, |
94 | 246 | Poster | Single-Shot Object Detection with Enriched Semantics | Zhishuai Zhang, Johns Hopkins University; Siyuan Qiao, Johns Hopkins University; Cihang Xie, JHU; Wei Shen, Shanghai University; Bo Wang, HikVision USA Inc.; Alan Yuille, JHU |
95 | 250 | Poster | Unifying Identification and Context Learning for Person Recognition | Qingqiu Huang, CUHK; Yu Xiong, CUHK; Dahua Lin, CUHK |
96 | 252 | Poster | Separating Self-Expression and Visual Content in Hashtag Supervision | Andreas Veit, Cornel Tech ; Maximillian Nickel, ; Serge Belongie, ; Laurens van der Maaten, Facebook |
97 | 255 | Poster | Multi-Cue Correlation Filters for Robust Visual Tracking | Ning Wang, USTC; Wengang Zhou, USTC; Qi Tian, ; Richang Hong, ; Meng Wang, HeFei University of Technology; Houqiang Li, |
98 | 260 | Poster | Beyond Trade-off: Accelerate FCN-based Face Detection with Higher Accuracy | Guanglu Song, Beihang University; Yu Liu, CUHK; Ming Jiang, BUAA; Yujie Wang, Beihang university |
99 | 261 | Poster | On the Robustness of Semantic Segmentation Models to Adversarial Attacks | Anurag Arnab, University of Oxford; Ondrej Miksik, University of Oxford; Phil Torr, Oxford |
100 | 266 | Oral | PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume | Deqing Sun, NVIDIA; Xiaodong Yang, NVIDIA; Ming-Yu Liu, NVIDIA; Jan Kautz, NVIDIA |
101 | 266 | Poster | PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume | Deqing Sun, NVIDIA; Xiaodong Yang, NVIDIA; Ming-Yu Liu, NVIDIA; Jan Kautz, NVIDIA |
102 | 270 | Oral | Illuminant Spectra-based Source Separation Using Flash Photography | Zhuo Hui, Carnegie Mellon University; Kalyan Sunkavalli, Adobe Systems Inc.; Sunil Hadap, ; Aswin Sankaranarayanan, Carnegie Mellon University |
103 | 270 | Poster | Illuminant Spectra-based Source Separation Using Flash Photography | Zhuo Hui, Carnegie Mellon University; Kalyan Sunkavalli, Adobe Systems Inc.; Sunil Hadap, ; Aswin Sankaranarayanan, Carnegie Mellon University |
104 | 281 | Spotlight | Tracking Multiple Objects Outside the Line of Sight using Speckle Imaging | Brandon Smith, University of Wisconsin-Madiso; Matthew O'Toole, Stanford University; Mohit Gupta, Wisconsin |
105 | 281 | Poster | Tracking Multiple Objects Outside the Line of Sight using Speckle Imaging | Brandon Smith, University of Wisconsin-Madiso; Matthew O'Toole, Stanford University; Mohit Gupta, Wisconsin |
106 | 285 | Poster | Improved Human Pose Estimation through Adversarial Data Augmentation | Zhiqiang Tang, Rutgers; Xi Peng, ; Fei Yang, facebook; Rogerio Feris, IBM; Dimitris Metaxas, Rutgers |
107 | 289 | Poster | Generative Adversarial Learning Towards Fast Weakly Supervised Detection | Yunhang Shen, Xiamen University; Rongrong Ji, ; Shengchuan Zhang, ; Wangmeng Zuo, Harbin Institute of Technology; Yan Wang, Microsoft |
108 | 298 | Spotlight | Audio to Body Dynamics | Eli Shlizerman, Facebook; Lucio Dery, Stanford; Hayden Schoen, Facebook; Ira Kemelmacher, |
109 | 298 | Poster | Audio to Body Dynamics | Eli Shlizerman, Facebook; Lucio Dery, Stanford; Hayden Schoen, Facebook; Ira Kemelmacher, |
110 | 299 | Poster | The Unreasonable Effectiveness of Deep Features as a Perceptual Metric | Richard Zhang, UC Berkeley; Phillip Isola, UC Berkeley; Alexei Efros, UC Berkeley; Eli Shechtman, Adobe Research; Oliver Wang, Adobe |
111 | 303 | Poster | Frame-Recurrent Video Super-Resolution | Mehdi S. M. Sajjadi, Max Planck Institute for Intel; Raviteja Vemulapalli, Google; Matthew Brown, |
112 | 304 | Poster | Deep Mutual Learning | Ying Zhang, QMUL; Tao Xiang, Queen Mary University of London; Timothy Hospedales, University of Edinburgh; Huchuan Lu, Dalian University of Technology |
113 | 308 | Poster | Real-world Anomaly Detection in Surveillance Videos | Waqas Sultani, ; Chen Chen, University of Central Florida; Mubarak Shah, UCF |
114 | 310 | Poster | Soccer on Your Tabletop | Konstantinos Rematas, University of Washington; Ira Kemelmacher, ; Brian Curless, Washington; Steve Seitz, Washington/Google |
115 | 312 | Poster | Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification | Shuang Li, The Chinese University of HK; Slawomir Bak, Disney Research; Peter Carr, Disney Research |
116 | 313 | Poster | HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN | Yue Cao, Tsinghua University; Mingsheng Long, Tsinghua University; Bin Liu, Tsinghua University; Jianmin Wang, |
117 | 316 | Poster | Excitation Backprop for RNNs | Sarah Bargal, Boston University; Andrea Zunino, Istituto Italiano di Tecnologia; Donghyun Kim, Boston University; Jianming Zhang, Adobe Research; Vittorio Murino, Istituto Italiano di Tecnologia; Stan Sclaroff, Boston University |
118 | 319 | Poster | Dynamic-Structured Semantic Propagation Network | Xiaodan Liang, Carnegie Mellon University; Hongfei Zhou, ; Eric Xing, Carnegie Mellon University |
119 | 325 | Spotlight | Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation | Huaizu Jiang, UMass Amherst; Deqing Sun, NVIDIA; Varun Jampani, NVIDIA Research; Ming-Hsuan Yang, UC Merced; Erik Miller, ; Jan Kautz, NVIDIA |
120 | 325 | Poster | Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation | Huaizu Jiang, UMass Amherst; Deqing Sun, NVIDIA; Varun Jampani, NVIDIA Research; Ming-Hsuan Yang, UC Merced; Erik Miller, ; Jan Kautz, NVIDIA |
121 | 326 | Oral | SPLATNet: Sparse Lattice Networks for Point Cloud Processing | Hang Su, University of Massachusetts, Amherst; Varun Jampani, NVIDIA Research; Deqing Sun, NVIDIA; Evangelos Kalogerakis, UMass; Subhransu Maji, ; Ming-Hsuan Yang, UC Merced; Jan Kautz, NVIDIA |
122 | 326 | Poster | SPLATNet: Sparse Lattice Networks for Point Cloud Processing | Hang Su, University of Massachusetts, Amherst; Varun Jampani, NVIDIA Research; Deqing Sun, NVIDIA; Evangelos Kalogerakis, UMass; Subhransu Maji, ; Ming-Hsuan Yang, UC Merced; Jan Kautz, NVIDIA |
123 | 329 | Poster | Video Representation Learning Using Discriminative Pooling | Jue Wang, ANU; Anoop Cherian, ; Fatih Porikli, NICTA, Australia; Stephen Gould, Australian National University |
124 | 330 | Poster | Attend and Interact: Higher-Order Object Interactions for Video Understanding | CHIH-YAO MA, GEORGIA TECH; Asim Kadav, NEC Labs; Iain Melvin, ; Zsolt Kira, ; Ghassan AlRegib, ; Hans Peter Graf, |
125 | 342 | Poster | Human Pose Estimation with Parsing Induced Learner | Xuecheng Nie, National University of Singapo; Jiashi Feng, ; Yiming Zuo, Tsinghua University; Shuicheng Yan, |
126 | 345 | Poster | 4D Human Body Correspondences from Panoramic Depth Maps | Zhong Li, University of Delaware; Minye Wu, ShanghaiTech; Wangyiteng Zhou, ShanghaiTech University; Jingyi Yu, University of Delaware, USA |
127 | 346 | Poster | Recognizing Human Actions as Evolution of Pose Estimation Maps | Mengyuan Liu, Nanyang Technological University; Junsong Yuan, |
128 | 348 | Poster | GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning | Yueqi Duan, Tsinghua University; Ziwei Wang, Tsinghua University; Jiwen Lu, Tsinghua University; Xudong Lin, Tsinghua University; Jie Zhou, |
129 | 350 | Spotlight | Deep Adversarial Metric Learning | Yueqi Duan, Tsinghua University; Wenzhao Zheng, Tsinghua University; Xudong Lin, Tsinghua University; Jiwen Lu, Tsinghua University; Jie Zhou, |
130 | 350 | Poster | Deep Adversarial Metric Learning | Yueqi Duan, Tsinghua University; Wenzhao Zheng, Tsinghua University; Xudong Lin, Tsinghua University; Jiwen Lu, Tsinghua University; Jie Zhou, |
131 | 353 | Poster | Revisiting Video Saliency: A Large-scale Benchmark and a New Model | Wenguan Wang, Beijing Institute of Technology; Jianbing Shen, Beijing Institute of Technolog; Fang Guo, Beijing Institute of Technology; Ming-Ming Cheng, Nankai University; Ali Borji, UCF |
132 | 362 | Poster | Graph-Cut RANSAC | Daniel Barath, MTA SZTAKI; Jiri Matas, |
133 | 363 | Poster | Five-point Fundamental Matrix Estimation for Uncalibrated Cameras | Daniel Barath, MTA SZTAKI |
134 | 367 | Poster | Hashing as Tie-Aware Learning to Rank | Kun He, Boston University; Fatih Cakir, Boston University; Sarah Bargal, Boston University; Stan Sclaroff, Boston University |
135 | 368 | Poster | Optimizing Local Feature Descriptors for Nearest Neighbor Matching | Kun He, Boston University; Yan Lu, ; Stan Sclaroff, Boston University |
136 | 369 | Oral | Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies | Hanbyul Joo, CMU; Tomas Simon, Oculus Research; Yaser Sheikh, |
137 | 369 | Poster | Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies | Hanbyul Joo, CMU; Tomas Simon, Oculus Research; Yaser Sheikh, |
138 | 374 | Spotlight | Consensus Maximization for Semantic Region Correspondences | Pablo Speciale, ETH; Danda Paudel, ; Martin Oswald, ETH Zurich; Hayko Riemenschneider, Computer Vision Lab, ETH Zurich; Luc Van Gool, KTH; Marc Pollefeys, ETH |
139 | 374 | Poster | Consensus Maximization for Semantic Region Correspondences | Pablo Speciale, ETH; Danda Paudel, ; Martin Oswald, ETH Zurich; Hayko Riemenschneider, Computer Vision Lab, ETH Zurich; Luc Van Gool, KTH; Marc Pollefeys, ETH |
140 | 380 | Poster | ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing | Chen-Hsuan Lin, CMU; Ersin Yumer, Argo AI; Oliver Wang, Adobe; Eli Shechtman, Adobe Research; Simon Lucey, |
141 | 391 | Poster | Motion-Guided Cascaded Refinement Network for Video Object Segmentation | Ping Hu, ; Gang Wang, ; Xiangfei Kong, Nanyang Technological University; Jason Kuen, NTU, Singapore; Yap-Peng Tan, |
142 | 397 | Poster | Zigzag Learning for Weakly Supervised Object Detection | Xiaopeng Zhang, National University of Singapore; Jiashi Feng, ; Hongkai Xiong, Shanghai Jiao Tong University; Qi Tian, |
143 | 405 | Spotlight | Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models | Jiuxiang Gu, Nanyang Technological Universi; Jianfei Cai, ; Joty Shafiq Rayhan, ; Li Niu, Rice University; Gang Wang, |
144 | 405 | Poster | Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models | Jiuxiang Gu, Nanyang Technological Universi; Jianfei Cai, ; Joty Shafiq Rayhan, ; Li Niu, Rice University; Gang Wang, |
145 | 406 | Spotlight | VITON: An Image-based Virtual Try-on Network | Xintong Han, University of Maryland; Zuxuan Wu, University of Maryland; Zhe Wu, University of Maryland; Ruichi Yu, ; Larry Davis, University of Maryland, USA |
146 | 406 | Poster | VITON: An Image-based Virtual Try-on Network | Xintong Han, University of Maryland; Zuxuan Wu, University of Maryland; Zhe Wu, University of Maryland; Ruichi Yu, ; Larry Davis, University of Maryland, USA |
147 | 408 | Poster | Cross-Domain Self-supervised Multi-task Feature Learning Using Synthetic Game Imagery | Zhongzheng Ren, UC Davis; Yong Jae Lee, UC Davis |
148 | 409 | Poster | LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image | Chuhang Zou, UIUC; Alex Colburn, Zillow Group Inc.; Qi Shan, Zillow Group; Derek Hoiem, |
149 | 418 | Poster | Thoracic Disease Identification and Localization with Limited Supervision | Zhe Li, Syracuse University; Chong Wang, Google Inc; Mei Han, Google Inc; Yuan Xue, Google; Wei Wei, Google Inc.; Li-jia Li, Google Inc; Fei-Fei Li, Google Inc. |
150 | 419 | Poster | Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks | Jason Kuen, NTU, Singapore; Xiangfei Kong, Nanyang Technological University; Zhe Lin, Adobe Systems, Inc.; Gang Wang, ; Jianxiong Yin, NVIDIA; Simon See, NVIDIA; Yap-Peng Tan, |
151 | 420 | Poster | Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation | Jiwoon Ahn, DGIST; Suha Kwak, POSTECH |
152 | 421 | Poster | Deep End-to-End Time-of-Flight Imaging | Shuochen Su, University of British Columbia; Felix Heide, Stanford University; Gordon Wetzstein, ; Wolfgang Heidrich, |
153 | 423 | Spotlight | Fast and Accurate Online Video Object Segmentation via Tracking Parts | Jingchun Cheng, Tsinghua University; Yi-Hsuan Tsai, NEC Labs America; Wei-Chih Hung, University of California, Merced; Shengjin Wang, ; Ming-Hsuan Yang, UC Merced |
154 | 423 | Poster | Fast and Accurate Online Video Object Segmentation via Tracking Parts | Jingchun Cheng, Tsinghua University; Yi-Hsuan Tsai, NEC Labs America; Wei-Chih Hung, University of California, Merced; Shengjin Wang, ; Ming-Hsuan Yang, UC Merced |
155 | 425 | Poster | Min-Entropy Latent Model for Weakly Supervised Object Detection | Fang Wan, UCAS; Pengxu Wei, ; Jianbin Jiao, ; Zhenjun Han, ; Qixiang Ye, |
156 | 429 | Poster | Future Frame Prediction for Anomaly Detection A New Baseline | Wen Liu, ShanghaiTech University; Weixin Luo, Shanghaitech University; Dongze Lian, ShanghaiTech University; Shenghua Gao, ShanghaiTech University |
157 | 430 | Poster | Face Aging with Identity-Preserved Conditional Generative Adversarial Networks | Zongwei WANG, ; Xu Tang, ; Weixin Luo, Shanghaitech University; Shenghua Gao, ShanghaiTech University |
158 | 431 | Poster | Learning to Compare: Relation Network for Few-Shot Learning | Flood Sung, Independent Researcher; Yongxin Yang, Queen Mary University of London; Li Zhang, Queen Mary University of London; Tao Xiang, Queen Mary University of London; Phil Torr, Oxford; Timothy Hospedales, University of Edinburgh |
159 | 435 | Oral | Deep Layer Aggregation | Fisher Yu, UC Berkeley; Dequan Wang, UC Berkeley; Evan Shelhamer, UC Berkeley; Trevor Darrell, UC Berkeley, USA |
160 | 435 | Poster | Deep Layer Aggregation | Fisher Yu, UC Berkeley; Dequan Wang, UC Berkeley; Evan Shelhamer, UC Berkeley; Trevor Darrell, UC Berkeley, USA |
161 | 436 | Poster | Style Aggregated Network for Facial Landmark Detection | Xuanyi Dong, UTS; Yan Yan, UTS; Wanli Ouyang, The University of Sydney; Yi Yang, |
162 | 442 | Spotlight | M3: Multimodal Memory Modelling for Video Captioning | Junbo Wang, Institute of Automation, Chine; Wei Wang, ; Yan Huang, ; Liang Wang, unknown; Tieniu Tan, NLPR China |
163 | 442 | Poster | M3: Multimodal Memory Modelling for Video Captioning | Junbo Wang, Institute of Automation, Chine; Wei Wang, ; Yan Huang, ; Liang Wang, unknown; Tieniu Tan, NLPR China |
164 | 449 | Poster | Classification Driven Dynamic Image Enhancement | Vivek Sharma, Karlsruhe Institute of Technology; Ali Diba, ; Davy Neven, KU Leuven; Michael Brown, York University; Luc Van Gool, KTH; Rainer Stiefelhagen, Karlsruhe Institute of Technology |
165 | 456 | Poster | Generative Image Inpainting with Contextual Attention | Jiahui Yu, UIUC; Zhe Lin, Adobe Systems, Inc.; Jimei Yang, ; Xiaohui Shen, Adobe Research; Xin Lu, ; Thomas Huang, |
166 | 458 | Spotlight | Iterative Visual Reasoning Beyond Convolutions | Xinlei Chen, Facebook; Li-jia Li, Google Inc; Fei-Fei Li, Google Inc.; Abhinav Gupta, |
167 | 458 | Poster | Iterative Visual Reasoning Beyond Convolutions | Xinlei Chen, Facebook; Li-jia Li, Google Inc; Fei-Fei Li, Google Inc.; Abhinav Gupta, |
168 | 460 | Poster | Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification | Jianlou Si, BUPT; Honggang Zhang, ; Chun-Guang Li, Beijing Univ. of Posts&Telecom; Jason Kuen, NTU, Singapore; Xiangfei Kong, Nanyang Technological University; Alex Kot, ; Gang Wang, |
169 | 465 | Spotlight | Textbook Question Answering under Teacher Guidance with Memory Networks | Juzheng Li, Tsinghua University; Hang Su, Tsinghua University; Jun Zhu, Tsinghua University; Siyu Wang, ; Bo Zhang, |
170 | 465 | Poster | Textbook Question Answering under Teacher Guidance with Memory Networks | Juzheng Li, Tsinghua University; Hang Su, Tsinghua University; Jun Zhu, Tsinghua University; Siyu Wang, ; Bo Zhang, |
171 | 468 | Poster | Multi-Level Factorisation Net for Person Re-Identification | Xiaobin Chang, Queen Mary Univ. of London; Timothy Hospedales, University of Edinburgh; Tao Xiang, Queen Mary University of London |
172 | 471 | Spotlight | Functional Map of the World | Gordon Christie, JHU/APL; Neil Fendley, JHU/APL; James Wilson, DigitalGlobe; Ryan Mukherjee, JHU/APL |
173 | 471 | Poster | Functional Map of the World | Gordon Christie, JHU/APL; Neil Fendley, JHU/APL; James Wilson, DigitalGlobe; Ryan Mukherjee, JHU/APL |
174 | 473 | Poster | A Two-Step Disentanglement Method | Naama Hadad, Tel Aviv University; Lior Wolf, Tel Aviv University, Israel; Moni Shahar, Tel Aviv University |
175 | 475 | Poster | Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization | Peihua Li, ; Jiangtao Xie, ; Qilong Wang, ; Zilin Gao, Dalian University of Technology |
176 | 482 | Poster | Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? | Kensho Hara, AIST; Hirokatsu Kataoka, AIST; Yutaka Satoh, AIST |
177 | 483 | Oral | Left-Right Comparative Recurrent Model for Stereo Matching | Zequn Jie, ; Pengfei Wang, NUS; Yonggen Ling, Tencent; Bo Zhao, ; Jiashi Feng, ; Wei Liu, |
178 | 483 | Poster | Left-Right Comparative Recurrent Model for Stereo Matching | Zequn Jie, ; Pengfei Wang, NUS; Yonggen Ling, Tencent; Bo Zhao, ; Jiashi Feng, ; Wei Liu, |
179 | 487 | Oral | Analytic Expressions for Probabilistic Moments of PL-DNN with Gaussian Input | Adel Bibi, KAUST; Modar Alfadly, King Abdullah University of Science and Technology; Bernard Ghanem, |
180 | 487 | Poster | Analytic Expressions for Probabilistic Moments of PL-DNN with Gaussian Input | Adel Bibi, KAUST; Modar Alfadly, King Abdullah University of Science and Technology; Bernard Ghanem, |
181 | 488 | Spotlight | Zero-Shot Sketch-Image Hashing | Yuming Shen, University of East Anglia; Li Liu, University of East Anglia; Fumin Shen, ; Ling Shao, University of East Anglia |
182 | 488 | Poster | Zero-Shot Sketch-Image Hashing | Yuming Shen, University of East Anglia; Li Liu, University of East Anglia; Fumin Shen, ; Ling Shao, University of East Anglia |
183 | 490 | Spotlight | Interpretable Convolutional Neural Networks | Quanshi Zhang, UCLA; Yingnian Wu, ; Song-Chun Zhu, |
184 | 490 | Poster | Interpretable Convolutional Neural Networks | Quanshi Zhang, UCLA; Yingnian Wu, ; Song-Chun Zhu, |
185 | 491 | Poster | Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves | Shiwei Li, HKUST; Yao Yao, HKUST; Tian Fang, HKUST; Long Quan, The Hong Kong University of Science and Technology, Hong Kong |
186 | 493 | Poster | Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior | Daniel S. Jeon, KAIST; Seung-Hwan Baek, KAIST; Inchang Choi, ; Min H. Kim, KAIST |
187 | 494 | Poster | Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB | Tomoyuki Suzuki, Keio University; Hirokatsu Kataoka, AIST; Yoshimitsu Aoki, Keio University; Yutaka Satoh, AIST |
188 | 500 | Spotlight | Generating Synthetic X-ray Images of a Person from the Surface Geometry | Brian Teixeira, Siemens Healthineers; Vivek Singh, Siemens Healthineers; Kai Ma, Siemens Healthineers; Birgi Tamersoy, Siemens Healthineers; Terrence Chen, Siemens Healthineers; Yifan Wu, Temple University ; Elena Balashova, Princeton University; Dorin Comaniciu, Siemens Healthineers |
189 | 500 | Poster | Generating Synthetic X-ray Images of a Person from the Surface Geometry | Brian Teixeira, Siemens Healthineers; Vivek Singh, Siemens Healthineers; Kai Ma, Siemens Healthineers; Birgi Tamersoy, Siemens Healthineers; Terrence Chen, Siemens Healthineers; Yifan Wu, Temple University ; Elena Balashova, Princeton University; Dorin Comaniciu, Siemens Healthineers |
190 | 505 | Poster | Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification | Wenguan Wang, Beijing Institute of Technology; Yuanlu Xu, University of California, Los Angeles; Jianbing Shen, Beijing Institute of Technolog; Song-Chun Zhu, |
191 | 506 | Poster | Unsupervised CCA | Yedid Hoshen, Facebook AI Research (FAIR); Lior Wolf, Tel Aviv University, Israel |
192 | 510 | Poster | Discovering Point Lights with Intensity Distance Fields | Edward Zhang, University of Washington; MIchael Cohen, ; Brian Curless, Washington |
193 | 512 | Poster | Universal Denoising Networks : A Novel CNN-based Network Architecture for Image Denoising | Stamatios Lefkimmiatis, Skolkovo Institute of Science |
194 | 517 | Poster | Easy Identification from Better Constraints: Multi-Shot Person Re-Identification from Reference Constraints | Jiahuan Zhou, Northwestern University; Bing Su, Chinese Academy of Sciences; Ying Wu, Northwestern University, USA |
195 | 533 | Spotlight | Recurrent Pixel Embedding for Instance Grouping | Shu Kong, University of California, Irvine; Charless Fowlkes, University of California, Irvine, USA |
196 | 533 | Poster | Recurrent Pixel Embedding for Instance Grouping | Shu Kong, University of California, Irvine; Charless Fowlkes, University of California, Irvine, USA |
197 | 534 | Poster | Recurrent Scene Parsing with Perspective Understanding in the Loop | Shu Kong, University of California, Irvine; Charless Fowlkes, University of California, Irvine, USA |
198 | 540 | Poster | Learning to Hash by Discrepancy Minimization | Zhixiang Chen, Tsinghua University; Xin Yuan, Tsinghua University; Jiwen Lu, Tsinghua University; Jie Zhou, |
199 | 542 | Poster | Fast End-to-End Trainable Guided Filter | Huikai Wu, CASIA; Shuai Zheng, EBay; Junge Zhang, ; Kaiqi Huang, National Laboratory of Pattern Recognition |
200 | 550 | Poster | Disentangling Structure and Aesthetics for Content-aware Image Completion | Andrew Gilbert, University of Surrey; John Collomosse, University of Surrey, UK.; Hailin Jin, ; Brian Price, |
201 | 552 | Oral | An Analysis of Scale Invariance in Object Detection - SNIP | Bharat Singh, ; Larry Davis, University of Maryland, USA |
202 | 552 | Poster | An Analysis of Scale Invariance in Object Detection - SNIP | Bharat Singh, ; Larry Davis, University of Maryland, USA |