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# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2016: all accepted papers

646 papers · page 1 of 7 · the most cited first · [← IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2016](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2016/)

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1. **[Deep Residual Learning for Image Recognition ↗](https://doi.org/10.1109/cvpr.2016.90)**Kaiming He, Xiangyu Zhang, Shaoqing Ren et al.*221,332 citations*
2. **[You Only Look Once: Unified, Real-Time Object Detection ↗](https://doi.org/10.1109/cvpr.2016.91)**Joseph Redmon, Santosh Divvala, Ross Girshick et al.*50,822 citations*
3. **[Rethinking the Inception Architecture for Computer Vision ↗](https://doi.org/10.1109/cvpr.2016.308)**Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe et al.*30,578 citations*
4. **[The Cityscapes Dataset for Semantic Urban Scene Understanding ↗](https://doi.org/10.1109/cvpr.2016.350)**Marius Cordts, Mohamed Omran, Sebastian Ramos et al.*11,836 citations*
5. **[Learning Deep Features for Discriminative Localization ↗](https://doi.org/10.1109/cvpr.2016.319)**Bolei Zhou, Aditya Khosla, Àgata Lapedriza et al.*10,709 citations*
6. **[Accurate Image Super-Resolution Using Very Deep Convolutional Networks ↗](https://doi.org/10.1109/cvpr.2016.182)**Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee*7,571 citations*
7. **[Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network ↗](https://doi.org/10.1109/cvpr.2016.207)**Wenzhe Shi, José Caballero, Ferenc Huszár et al.*7,203 citations*
8. **[Structure-from-Motion Revisited ↗](https://doi.org/10.1109/cvpr.2016.445)**Johannes L. Schönberger, Jan‐Michael Frahm*6,212 citations*
9. **[Image Style Transfer Using Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.265)**Leon A. Gatys, Alexander S. Ecker, Matthias Bethge*5,843 citations*
10. **[Context Encoders: Feature Learning by Inpainting ↗](https://doi.org/10.1109/cvpr.2016.278)**Deepak Pathak, Philipp Krähenbühl, Jeff Donahue et al.*5,410 citations*
11. **[DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.282)**Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard B*5,129 citations*
12. **[Social LSTM: Human Trajectory Prediction in Crowded Spaces ↗](https://doi.org/10.1109/cvpr.2016.110)**Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan et al.*3,483 citations*
13. **[NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis ↗](https://doi.org/10.1109/cvpr.2016.115)**Amir Shahroudy, Jun Liu, Tian-Tsong Ng et al.*3,131 citations*
14. **[Deeply-Recursive Convolutional Network for Image Super-Resolution ↗](https://doi.org/10.1109/cvpr.2016.181)**Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee*3,025 citations*
15. **[Convolutional Pose Machines ↗](https://doi.org/10.1109/cvpr.2016.511)**Shih-En Wei, Varun Ramakrishna, Takeo Kanade A et al.*2,838 citations*
16. **[Learning Multi-domain Convolutional Neural Networks for Visual Tracking ↗](https://doi.org/10.1109/cvpr.2016.465)**Hyeonseob Nam, Bohyung Han*2,727 citations*
17. **[Convolutional Two-Stream Network Fusion for Video Action Recognition ↗](https://doi.org/10.1109/cvpr.2016.213)**Christoph Feichtenhofer, Axel J. Pinz, Andrew Zisserman*2,684 citations*
18. **[Training Region-Based Object Detectors with Online Hard Example Mining ↗](https://doi.org/10.1109/cvpr.2016.89)**Abhinav Shrivastava, Abhinav Gupta, Ross Girshick*2,586 citations*
19. **[NetVLAD: CNN Architecture for Weakly Supervised Place Recognition ↗](https://doi.org/10.1109/cvpr.2016.572)**Relja Arandjelović, Petr Gronát, Akihiko Torii et al.*2,584 citations*
20. **[A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation ↗](https://doi.org/10.1109/cvpr.2016.438)**Nikolaus Mayer, Eddy Ilg, Philip Hausser et al.*2,301 citations*
21. **[The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes ↗](https://doi.org/10.1109/cvpr.2016.352)**Germán Ros, Laura Sellart, Joanna Materzyńska et al.*2,255 citations*
22. **[Single-Image Crowd Counting via Multi-Column Convolutional Neural Network ↗](https://doi.org/10.1109/cvpr.2016.70)**Yingying Zhang, Desen Zhou, Siqin Chen et al.*2,241 citations*
23. **[Stacked Attention Networks for Image Question Answering ↗](https://doi.org/10.1109/cvpr.2016.10)**Zichao Yang, Xiaodong He, Jianfeng Gao et al.*1,998 citations*
24. **[A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation ↗](https://doi.org/10.1109/cvpr.2016.85)**Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams et al.*1,989 citations*
25. **[3D Semantic Parsing of Large-Scale Indoor Spaces ↗](https://doi.org/10.1109/cvpr.2016.170)**Iro Armeni, Ozan Şener, Amir Zamir et al.*1,892 citations*
26. **[WIDER FACE: A Face Detection Benchmark ↗](https://doi.org/10.1109/cvpr.2016.596)**Shuo Yang, Ping Luo, Chen Change Loy et al.*1,830 citations*
27. **[DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations ↗](https://doi.org/10.1109/cvpr.2016.124)**Ziwei Liu, Ping Luo, Shi Qiu et al.*1,803 citations*
28. **[Image Captioning with Semantic Attention ↗](https://doi.org/10.1109/cvpr.2016.503)**Quanzeng You, Hailin Jin, Zhaowen Wang et al.*1,803 citations*
29. **[Staple: Complementary Learners for Real-Time Tracking ↗](https://doi.org/10.1109/cvpr.2016.156)**Luca Bertinetto, Jack Valmadre, Stuart Golodetz et al.*1,776 citations*
30. **[MSR-VTT: A Large Video Description Dataset for Bridging Video and Language ↗](https://doi.org/10.1109/cvpr.2016.571)**Jun Xu, Tao Mei, Ting Yao et al.*1,759 citations*
31. **[Face2Face: Real-Time Face Capture and Reenactment of RGB Videos ↗](https://doi.org/10.1109/cvpr.2016.262)**Justus Thies, Michael Zollhöfer, Marc Stamminger et al.*1,747 citations*
32. **[Towards Open Set Deep Networks ↗](https://doi.org/10.1109/cvpr.2016.173)**Abhijit Bendale, Terrance E. Boult*1,659 citations*
33. **[Non-local Image Dehazing ↗](https://doi.org/10.1109/cvpr.2016.185)**Dana Berman, Tali Treibitz, Shai Avidan*1,642 citations*
34. **[Deep Metric Learning via Lifted Structured Feature Embedding ↗](https://doi.org/10.1109/cvpr.2016.434)**Hyun Oh Song, Xiang Yu, Stefanie Jegelka et al.*1,630 citations*
35. **[Volumetric and Multi-view CNNs for Object Classification on 3D Data ↗](https://doi.org/10.1109/cvpr.2016.609)**Charles R. Qi, Hao Su, Matthias NieBner et al.*1,504 citations*
36. **[Synthetic Data for Text Localisation in Natural Images ↗](https://doi.org/10.1109/cvpr.2016.254)**Ankush Gupta, Andrea Vedaldi, Andrew Zisserman*1,461 citations*
37. **[Cross-Stitch Networks for Multi-task Learning ↗](https://doi.org/10.1109/cvpr.2016.433)**Ishan Misra, Abhinav Shrivastava, Abhinav Gupta et al.*1,397 citations*
38. **[Learning Temporal Regularity in Video Sequences ↗](https://doi.org/10.1109/cvpr.2016.86)**Mahmudul Hasan, Jonghyun Choi, Jan Neumann et al.*1,397 citations*
39. **[Attention to Scale: Scale-Aware Semantic Image Segmentation ↗](https://doi.org/10.1109/cvpr.2016.396)**Liang-Chieh Chen, Yi Yang, Jiang Wang et al.*1,377 citations*
40. **[Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.314)**Sean Bell, C. Lawrence Zitnick, Kavita Bala et al.*1,292 citations*
41. **[Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function ↗](https://doi.org/10.1109/cvpr.2016.149)**De Cheng, Yihong Gong, Sanping Zhou et al.*1,247 citations*
42. **[Instance-Aware Semantic Segmentation via Multi-task Network Cascades ↗](https://doi.org/10.1109/cvpr.2016.343)**Jifeng Dai, Kaiming He, Jian Sun*1,244 citations*
43. **[Quantized Convolutional Neural Networks for Mobile Devices ↗](https://doi.org/10.1109/cvpr.2016.521)**Jiaxiang Wu, Cong Leng, Yuhang Wang et al.*1,212 citations*
44. **[CNN-RNN: A Unified Framework for Multi-label Image Classification ↗](https://doi.org/10.1109/cvpr.2016.251)**Jiang Wang, Yi Yang, Junhua Mao et al.*1,198 citations*
45. **[Generation and Comprehension of Unambiguous Object Descriptions](https://md.research.elamur.ai/free/en/papers/mao-2015-generation-comprehension-unambiguous-object-descriptions/)**Junhua Mao, Jonathan Huang, Alexander Toshev et al.*1,174 citations · our summary*
46. **[Siamese Instance Search for Tracking ↗](https://doi.org/10.1109/cvpr.2016.158)**Tao Ran, Efstratios Gavves, Arnold W. M. Smeulders*1,172 citations*
47. **[DenseCap: Fully Convolutional Localization Networks for Dense Captioning ↗](https://doi.org/10.1109/cvpr.2016.494)**Justin M. Johnson, Andrej Karpathy, Li Fei-Fei*1,137 citations*
48. **[Face Alignment Across Large Poses: A 3D Solution ↗](https://doi.org/10.1109/cvpr.2016.23)**Xiangyu Zhu, Zhen Lei, Xiaoming Liu et al.*1,137 citations*
49. **[Structural-RNN: Deep Learning on Spatio-Temporal Graphs ↗](https://doi.org/10.1109/cvpr.2016.573)**Ashesh Jain, Amir Zamir, Silvio Savarese et al.*1,095 citations*
50. **[A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation ↗](https://doi.org/10.1109/cvpr.2016.304)**Xueyang Fu, Delu Zeng, Yue Huang et al.*1,081 citations*
51. **[ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2016.344)**Di Lin, Jifeng Dai, Jiaya Jia et al.*1,080 citations*
52. **[DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation ↗](https://doi.org/10.1109/cvpr.2016.533)**Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang et al.*1,051 citations*
53. **[Monocular 3D Object Detection for Autonomous Driving ↗](https://doi.org/10.1109/cvpr.2016.236)**Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang et al.*1,017 citations*
54. **[VirtualWorlds as Proxy for Multi-object Tracking Analysis ↗](https://doi.org/10.1109/cvpr.2016.470)**Adrien Gaidon, Qiao Wang, Yohann Cabon et al.*1,003 citations*
55. **[Traffic-Sign Detection and Classification in the Wild ↗](https://doi.org/10.1109/cvpr.2016.232)**Zhe Zhu, Dun Liang, Song–Hai Zhang et al.*1,001 citations*
56. **[Learning Deep Representation for Imbalanced Classification ↗](https://doi.org/10.1109/cvpr.2016.580)**Chen Huang, Yining Li, Chen Change Loy et al.*988 citations*
57. **[Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs ↗](https://doi.org/10.1109/cvpr.2016.119)**Zheng Shou, Dongang Wang, Shih‐Fu Chang*968 citations*
58. **[Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification ↗](https://doi.org/10.1109/cvpr.2016.140)**Tong Xiao, Hongsheng Li, Wanli Ouyang et al.*958 citations*
59. **[Rain Streak Removal Using Layer Priors ↗](https://doi.org/10.1109/cvpr.2016.299)**Yu Li, Robby T. Tan, Xiaojie Guo et al.*952 citations*
60. **[Eye Tracking for Everyone ↗](https://doi.org/10.1109/cvpr.2016.239)**Kyle Krafka, Aditya Khosla, Petr Kellnhofer et al.*917 citations*
61. **[Fast Algorithms for Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.435)**Andrew Lavin, Scott Gray*915 citations*
62. **[The MegaFace Benchmark: 1 Million Faces for Recognition at Scale ↗](https://doi.org/10.1109/cvpr.2016.527)**Ira Kemelmacher-Shlizerman, Steve M. Seitz, Daniel Miller et al.*911 citations*
63. **[Neural Module Networks](https://md.research.elamur.ai/free/en/papers/andreas-2015-neural-module-networks/)**Jacob Andreas, Marcus Rohrbach, Trevor Jackson Darrell et al.*908 citations · our summary*
64. **[HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection ↗](https://doi.org/10.1109/cvpr.2016.98)**Tao Kong, Anbang Yao, Yurong Chen et al.*904 citations*
65. **[Deep Supervised Hashing for Fast Image Retrieval ↗](https://doi.org/10.1109/cvpr.2016.227)**Haomiao Liu, Ruiping Wang, Shiguang Shan et al.*902 citations*
66. **[Compact Bilinear Pooling ↗](https://doi.org/10.1109/cvpr.2016.41)**Yang Gao, Oscar Beijbom, Ning Zhang et al.*871 citations*
67. **[Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification ↗](https://doi.org/10.1109/cvpr.2016.266)**Le Hou, Dimitris Samaras, Tahsin Kurç et al.*866 citations*
68. **[Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2016.348)**Guosheng Lin, Chunhua Shen, Anton van den Hengel et al.*837 citations*
69. **[Joint Unsupervised Learning of Deep Representations and Image Clusters ↗](https://doi.org/10.1109/cvpr.2016.556)**Jianwei Yang, Devi Parikh, Dhruv Batra*837 citations*
70. **[DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection ↗](https://doi.org/10.1109/cvpr.2016.80)**Nian Liu, Junwei Han*833 citations*
71. **[Deep Relative Distance Learning: Tell the Difference between Similar Vehicles ↗](https://doi.org/10.1109/cvpr.2016.238)**Hongye Liu, Yonghong Tian, Yaowei Wang et al.*782 citations*
72. **[Blind Image Deblurring Using Dark Channel Prior ↗](https://doi.org/10.1109/cvpr.2016.180)**Jinshan Pan, Deqing Sun, Hanspeter Pfister et al.*779 citations*
73. **[Human Pose Estimation with Iterative Error Feedback ↗](https://doi.org/10.1109/cvpr.2016.512)**João Carreira, Pulkit Agrawal, Katerina Fragkiadaki et al.*778 citations*
74. **[Visual7W: Grounded Question Answering in Images](https://md.research.elamur.ai/free/en/papers/zhu-2015-visual7w-grounded-question-answering-images/)**Yuke Zhu, Oliver Groth, Michael S. Bernstein et al.*776 citations · our summary*
75. **[Learning Deep Representations of Fine-Grained Visual Descriptions ↗](https://doi.org/10.1109/cvpr.2016.13)**Scott Reed, Zeynep Akata, Honglak Lee et al.*760 citations*
76. **[Learning Deep Structure-Preserving Image-Text Embeddings ↗](https://doi.org/10.1109/cvpr.2016.541)**Liwei Wang, Yin Li, Svetlana Lazebnik*760 citations*
77. **[Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis ↗](https://doi.org/10.1109/cvpr.2016.272)**Chuan Li, Michael Wand*741 citations*
78. **[Efficient Deep Learning for Stereo Matching ↗](https://doi.org/10.1109/cvpr.2016.614)**Wenjie Luo, Alexander Gerhard Schwing, Raquel Urtasun*741 citations*
79. **[ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements ↗](https://doi.org/10.1109/cvpr.2016.55)**Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga et al.*720 citations*
80. **[Hedged Deep Tracking ↗](https://doi.org/10.1109/cvpr.2016.466)**Yuankai Qi, Shengping Zhang, Lei Qin et al.*705 citations*
81. **[Deep Contrast Learning for Salient Object Detection ↗](https://doi.org/10.1109/cvpr.2016.58)**Guanbin Li, Yizhou Yu*704 citations*
82. **[Latent Embeddings for Zero-Shot Classification ↗](https://doi.org/10.1109/cvpr.2016.15)**Yongqin Xian, Zeynep Akata, Gaurav Sharma et al.*703 citations*
83. **[Synthesized Classifiers for Zero-Shot Learning ↗](https://doi.org/10.1109/cvpr.2016.575)**Soravit Changpinyo, Wei‐Lun Chao, Boqing Gong et al.*703 citations*
84. **[Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.456)**Pavlo A. Molchanov, Xiaodong Yang, Shalini Gupta et al.*695 citations*
85. **[Robust Scene Text Recognition with Automatic Rectification ↗](https://doi.org/10.1109/cvpr.2016.452)**Baoguang Shi, Xinggang Wang, Pengyuan Lyu et al.*693 citations*
86. **[Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images ↗](https://doi.org/10.1109/cvpr.2016.94)**Shuran Song, Jianxiong Xiao*681 citations*
87. **[Ordinal Regression with Multiple Output CNN for Age Estimation ↗](https://doi.org/10.1109/cvpr.2016.532)**Zhenxing Niu, Mo Zhou, Le Wang et al.*661 citations*
88. **[MovieQA: Understanding Stories in Movies through Question-Answering ↗](https://doi.org/10.1109/cvpr.2016.501)**Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen et al.*639 citations*
89. **[Improving the Robustness of Deep Neural Networks via Stability Training ↗](https://doi.org/10.1109/cvpr.2016.485)**Stephan Zheng, Yang Song, Thomas Leung et al.*624 citations*
90. **[DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation ↗](https://doi.org/10.1109/cvpr.2016.273)**Hao Chen, Xiaojuan Qi, Lequan Yu et al.*623 citations*
91. **[Learning a Discriminative Null Space for Person Re-identification ↗](https://doi.org/10.1109/cvpr.2016.139)**Li Zhang, Tao Xiang, Shaogang Gong*621 citations*
92. **[EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild ↗](https://doi.org/10.1109/cvpr.2016.600)**Carlos Fabian Benitez-Quiroz, Ramprakash Srinivasan, Aleix M. Martı́nez*607 citations*
93. **[Inverting Visual Representations with Convolutional Networks ↗](https://doi.org/10.1109/cvpr.2016.522)**Alexey Dosovitskiy, Thomas Brox*603 citations*
94. **[Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers ↗](https://doi.org/10.1109/cvpr.2016.234)**Fan Yang, Wongun Choi, Yuanqing Lin*596 citations*
95. **[Multi-oriented Text Detection with Fully Convolutional Networks ↗](https://doi.org/10.1109/cvpr.2016.451)**Zheng Zhang, Chengquan Zhang, Wei Shen et al.*596 citations*
96. **[End-to-End Learning of Action Detection from Frame Glimpses in Videos ↗](https://doi.org/10.1109/cvpr.2016.293)**Serena Y. Yeung, Olga Russakovsky, Greg Mori et al.*579 citations*
97. **[Deep Stereo: Learning to Predict New Views from the World's Imagery ↗](https://doi.org/10.1109/cvpr.2016.595)**John Flynn, Ivan Neulander, James F. Philbin et al.*574 citations*
98. **[Dynamic Image Networks for Action Recognition ↗](https://doi.org/10.1109/cvpr.2016.331)**Hakan Bilen, Basura Fernando, Efstratios Gavves et al.*571 citations*
99. **[Recurrent Convolutional Network for Video-Based Person Re-identification ↗](https://doi.org/10.1109/cvpr.2016.148)**Niall McLaughlin, Jesús Martínez del Rincón, Paul C. Miller*564 citations*
100. **[Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.496)**Haonan Yu, Jiang Wang, Zhiheng Huang et al.*564 citations*

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