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# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2018: all accepted papers

981 papers · page 1 of 10 · the most cited first · [← IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2018](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/)

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1. **[Squeeze-and-Excitation Networks ↗](https://doi.org/10.1109/cvpr.2018.00745)**Jie Hu, Li Shen, Gang Zheng Sun*30,519 citations*
2. **[MobileNetV2: Inverted Residuals and Linear Bottlenecks ↗](https://doi.org/10.1109/cvpr.2018.00474)**Mark Sandler, Andrew Howard, Menglong Zhu et al.*27,247 citations*
3. **[The Unreasonable Effectiveness of Deep Features as a Perceptual Metric ↗](https://doi.org/10.1109/cvpr.2018.00068)**Richard Zhang, Phillip Isola, Alexei A. Efros et al.*14,045 citations*
4. **[Non-local Neural Networks ↗](https://doi.org/10.1109/cvpr.2018.00813)**Xiaolong Wang, Ross Girshick, Abhinav Gupta et al.*10,954 citations*
5. **[ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices ↗](https://doi.org/10.1109/cvpr.2018.00716)**Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin et al.*9,452 citations*
6. **[Path Aggregation Network for Instance Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00913)**Shu Liu, Lu Qi, Haifang Qin et al.*9,321 citations*
7. **[Cascade R-CNN: Delving Into High Quality Object Detection ↗](https://doi.org/10.1109/cvpr.2018.00644)**Zhaowei Cai, Nuno M. Vasconcelos*6,958 citations*
8. **[Learning Transferable Architectures for Scalable Image Recognition](https://md.research.elamur.ai/free/en/papers/zoph-2017-learning-transferable-architectures-scalable-image/)**Barret Zoph, Vijay Vasudevan, Jonathon Shlens et al.*6,249 citations · our summary*
9. **[Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering ↗](https://doi.org/10.1109/cvpr.2018.00636)**Peter Anderson, Xiaodong He, Chris Buehler et al.*4,948 citations*
10. **[VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection ↗](https://doi.org/10.1109/cvpr.2018.00472)**Yin Zhou, Oncel Tuzel*4,656 citations*
11. **[High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs ↗](https://doi.org/10.1109/cvpr.2018.00917)**Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu et al.*4,332 citations*
12. **[Residual Dense Network for Image Super-Resolution ↗](https://doi.org/10.1109/cvpr.2018.00262)**Yulun Zhang, Yapeng Tian, Yu Kong et al.*4,168 citations*
13. **[StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation ↗](https://doi.org/10.1109/cvpr.2018.00916)**Yunjey Choi, Minje Choi, Munyoung Kim et al.*4,004 citations*
14. **[Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference ↗](https://doi.org/10.1109/cvpr.2018.00286)**Benoit Jacob, Skirmantas Kligys, Bo Chen et al.*3,946 citations*
15. **[A Closer Look at Spatiotemporal Convolutions for Action Recognition ↗](https://doi.org/10.1109/cvpr.2018.00675)**Du Tran, Heng Wang, Lorenzo Torresani et al.*3,516 citations*
16. **[Unsupervised Feature Learning via Non-parametric Instance Discrimination ↗](https://doi.org/10.1109/cvpr.2018.00393)**Zhirong Wu, Yuanjun Xiong, Stella X. Yu et al.*3,479 citations*
17. **[DOTA: A Large-Scale Dataset for Object Detection in Aerial Images ↗](https://doi.org/10.1109/cvpr.2018.00418)**Gui-Song Xia, Xiang Bai, Jian Ding et al.*3,272 citations*
18. **[Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics ↗](https://doi.org/10.1109/cvpr.2018.00781)**Roberto Cipolla, Yarin Gal, Alex Kendall*3,151 citations*
19. **[Boosting Adversarial Attacks with Momentum ↗](https://doi.org/10.1109/cvpr.2018.00957)**Yinpeng Dong, Fangzhou Liao, Tianyu Pang et al.*2,956 citations*
20. **[CosFace: Large Margin Cosine Loss for Deep Face Recognition ↗](https://doi.org/10.1109/cvpr.2018.00552)**Hao Wang, Yitong Wang, Zheng Zhou et al.*2,919 citations*
21. **[High Performance Visual Tracking with Siamese Region Proposal Network ↗](https://doi.org/10.1109/cvpr.2018.00935)**Bo Hu Li, Junjie Yan, Wei Wu et al.*2,903 citations*
22. **[PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume ↗](https://doi.org/10.1109/cvpr.2018.00931)**Deqing Sun, Xiaodong Yang, Ming-Yu Liu et al.*2,648 citations*
23. **[Frustum PointNets for 3D Object Detection from RGB-D Data ↗](https://doi.org/10.1109/cvpr.2018.00102)**Charles R. Qi, Wei Liu, Chenxia Wu et al.*2,638 citations*
24. **[Generative Image Inpainting with Contextual Attention ↗](https://doi.org/10.1109/cvpr.2018.00577)**Jiahui Yu, Zhe Lin, Jimei Yang et al.*2,527 citations*
25. **[Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks ↗](https://doi.org/10.1109/cvpr.2018.00240)**Agrim Gupta, Justin M. Johnson, Li Fei-Fei et al.*2,377 citations*
26. **[Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? ↗](https://doi.org/10.1109/cvpr.2018.00685)**Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh*2,205 citations*
27. **[Maximum Classifier Discrepancy for Unsupervised Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2018.00392)**Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku et al.*2,161 citations*
28. **[Real-World Anomaly Detection in Surveillance Videos ↗](https://doi.org/10.1109/cvpr.2018.00678)**Waqas Sultani, Chen Chen, Mubarak A. Shah*2,140 citations*
29. **[Robust Physical-World Attacks on Deep Learning Visual Classification ↗](https://doi.org/10.1109/cvpr.2018.00175)**Kevin Eykholt, Ivan Evtimov, Earlence Fernandes et al.*2,091 citations*
30. **[Person Transfer GAN to Bridge Domain Gap for Person Re-identification ↗](https://doi.org/10.1109/cvpr.2018.00016)**Longhui Wei, Shiliang Steven Zhang, Wen Gao et al.*2,004 citations*
31. **[Deep Ordinal Regression Network for Monocular Depth Estimation ↗](https://doi.org/10.1109/cvpr.2018.00214)**Huan Fu, Mingming Gong, Chaohui Wang et al.*1,925 citations*
32. **[Deep Image Prior ↗](https://doi.org/10.1109/cvpr.2018.00984)**Victor Lempitsky, Andrea Vedaldi, Dmitry Ulyanov*1,916 citations*
33. **[AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks ↗](https://doi.org/10.1109/cvpr.2018.00143)**Tao Xu, Pengchuan Zhang, Qiuyuan Huang et al.*1,875 citations*
34. **[End-to-End Recovery of Human Shape and Pose ↗](https://doi.org/10.1109/cvpr.2018.00744)**Angjoo Kanazawa, Michael J. Black, David W. Jacobs et al.*1,870 citations*
35. **[Pyramid Stereo Matching Network ↗](https://doi.org/10.1109/cvpr.2018.00567)**Jia-Ren Chang, Yong‐Sheng Chen*1,807 citations*
36. **[Cascaded Pyramid Network for Multi-person Pose Estimation ↗](https://doi.org/10.1109/cvpr.2018.00742)**Yilun Chen, Zhicheng Wang, Yuxiang Peng et al.*1,799 citations*
37. **[3D Semantic Segmentation with Submanifold Sparse Convolutional Networks ↗](https://doi.org/10.1109/cvpr.2018.00961)**Benjamin Graham, Martin Engelcke, Laurens van der Maaten*1,775 citations*
38. **[Deep Mutual Learning ↗](https://doi.org/10.1109/cvpr.2018.00454)**Ying Zhang, Tao Xiang, Timothy M. Hospedales et al.*1,752 citations*
39. **[DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks ↗](https://doi.org/10.1109/cvpr.2018.00854)**Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych et al.*1,706 citations*
40. **[CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes ↗](https://doi.org/10.1109/cvpr.2018.00120)**Yuhong Li, Xiaofan Zhang, Deming Chen*1,698 citations*
41. **[Learning to Adapt Structured Output Space for Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00780)**Yi–Hsuan Tsai, Wei-Chih Hung, Samuel Schulter et al.*1,667 citations*
42. **[Single-Shot Refinement Neural Network for Object Detection ↗](https://doi.org/10.1109/cvpr.2018.00442)**Shifeng Zhang, Longyin Wen, Xiao Bian et al.*1,627 citations*
43. **[Deep Back-Projection Networks for Super-Resolution ↗](https://doi.org/10.1109/cvpr.2018.00179)**Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita*1,599 citations*
44. **[DenseASPP for Semantic Segmentation in Street Scenes ↗](https://doi.org/10.1109/cvpr.2018.00388)**Maoke Yang, Kun Yu, Chi Zhang et al.*1,581 citations*
45. **[Domain Adaptive Faster R-CNN for Object Detection in the Wild ↗](https://doi.org/10.1109/cvpr.2018.00352)**Yuhua Chen, Wen Li, Christos Sakaridis et al.*1,581 citations*
46. **[Future Frame Prediction for Anomaly Detection - A New Baseline ↗](https://doi.org/10.1109/cvpr.2018.00684)**Wen Liu, Weixin Luo, Dongze Lian et al.*1,530 citations*
47. **[Deep Layer Aggregation ↗](https://doi.org/10.1109/cvpr.2018.00255)**Fisher Yu, Dequan Wang, Evan Shelhamer et al.*1,516 citations*
48. **[Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs ↗](https://doi.org/10.1109/cvpr.2018.00479)**Loïc Landrieu, Martin Simonovsky*1,478 citations*
49. **[Context Encoding for Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00747)**Hang Zhang, Kristin Dana, Jianping Shi et al.*1,464 citations*
50. **[Relation Networks for Object Detection ↗](https://doi.org/10.1109/cvpr.2018.00378)**Han Hu, Jiayuan Gu, Zheng Zhang et al.*1,464 citations*
51. **[Harmonious Attention Network for Person Re-identification ↗](https://doi.org/10.1109/cvpr.2018.00243)**Wei Li, Xiatian Zhu, Shaogang Gong*1,449 citations*
52. **[The iNaturalist Species Classification and Detection Dataset ↗](https://doi.org/10.1109/cvpr.2018.00914)**Grant Van Horn, Oisin Mac Aodha, Yang Song et al.*1,445 citations*
53. **[Learning to See in the Dark ↗](https://doi.org/10.1109/cvpr.2018.00347)**Chen Chen, Qifeng Chen, Xu Jia et al.*1,376 citations*
54. **[Scale-Recurrent Network for Deep Image Deblurring ↗](https://doi.org/10.1109/cvpr.2018.00853)**Xin Tao, Hongyun Gao, Xiaoyong Shen et al.*1,316 citations*
55. **[FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation ↗](https://doi.org/10.1109/cvpr.2018.00029)**Yaoqing Lamar Yang, Chen Feng, Yiru Shen et al.*1,313 citations*
56. **[ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing ↗](https://doi.org/10.1109/cvpr.2018.00196)**Jian Zhang, Bernard Ghanem*1,309 citations*
57. **[COCO-Stuff: Thing and Stuff Classes in Context ↗](https://doi.org/10.1109/cvpr.2018.00132)**Holger Caesar, Jasper Uijlings, Vittorio Ferrari*1,277 citations*
58. **[GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose ↗](https://doi.org/10.1109/cvpr.2018.00212)**Zhichao Yin, Jianping Shi*1,256 citations*
59. **[PIXOR: Real-time 3D Object Detection from Point Clouds ↗](https://doi.org/10.1109/cvpr.2018.00798)**Bin Yang, Wenjie Luo, Raquel Urtasun*1,248 citations*
60. **[Densely Connected Pyramid Dehazing Network ↗](https://doi.org/10.1109/cvpr.2018.00337)**He Zhang, Vishal M. Patel*1,223 citations*
61. **[Domain Generalization with Adversarial Feature Learning ↗](https://doi.org/10.1109/cvpr.2018.00566)**Haoliang Li, Sinno Jialin Pan, Shiqi Wang et al.*1,213 citations*
62. **[PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning ↗](https://doi.org/10.1109/cvpr.2018.00810)**Arun Mallya, Svetlana Lazebnik*1,209 citations*
63. **[Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform ↗](https://doi.org/10.1109/cvpr.2018.00070)**Xintao Wang, Ke Yu, Chao Dong et al.*1,170 citations*
64. **[Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments](https://md.research.elamur.ai/free/en/papers/anderson-2017-vision-language-navigation-interpreting-visually/)**Peter Anderson, Qi Wu, Damien Teney et al.*1,156 citations · our summary*
65. **[MegaDepth: Learning Single-View Depth Prediction from Internet Photos ↗](https://doi.org/10.1109/cvpr.2018.00218)**Zhengqi Li, Noah Snavely*1,135 citations*
66. **[Learning a Single Convolutional Super-Resolution Network for Multiple Degradations ↗](https://doi.org/10.1109/cvpr.2018.00344)**Kai Zhang, Wangmeng Zuo, Lei Zhang*1,124 citations*
67. **[Taskonomy: Disentangling Task Transfer Learning ↗](https://doi.org/10.1109/cvpr.2018.00391)**Amir Zamir, Alexander Sax (Sasha), William Shen et al.*1,100 citations*
68. **[Dynamic Few-Shot Visual Learning Without Forgetting ↗](https://doi.org/10.1109/cvpr.2018.00459)**Spyros Gidaris, Nikos Komodakis A*1,068 citations*
69. **[Neural Motifs: Scene Graph Parsing with Global Context ↗](https://doi.org/10.1109/cvpr.2018.00611)**Rowan Zellers, Mark Yatskar, Sam Thomson et al.*1,052 citations*
70. **[MoCoGAN: Decomposing Motion and Content for Video Generation ↗](https://doi.org/10.1109/cvpr.2018.00165)**Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang et al.*1,044 citations*
71. **[The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks ↗](https://doi.org/10.1109/cvpr.2018.00464)**Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko*1,027 citations*
72. **[Feature Generating Networks for Zero-Shot Learning ↗](https://doi.org/10.1109/cvpr.2018.00581)**Yongqin Xian, Tobias Lorenz, Bernt Schiele et al.*1,023 citations*
73. **[Density-Aware Single Image De-raining Using a Multi-stream Dense Network ↗](https://doi.org/10.1109/cvpr.2018.00079)**He Zhang, Vishal M. Patel*1,013 citations*
74. **[Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification ↗](https://doi.org/10.1109/cvpr.2018.00110)**Weijian Deng, Liang Zheng, Qixiang Ye et al.*1,011 citations*
75. **[AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions ↗](https://doi.org/10.1109/cvpr.2018.00633)**Chunhui Gu, Chen Sun, David A. Ross et al.*986 citations*
76. **[SO-Net: Self-Organizing Network for Point Cloud Analysis ↗](https://doi.org/10.1109/cvpr.2018.00979)**Jiaxin Li, Ben M. Chen, Gim Hee Lee*985 citations*
77. **[Gated Fusion Network for Single Image Dehazing ↗](https://doi.org/10.1109/cvpr.2018.00343)**Wenqi Ren, Lin Ma, Jiawei Zhang et al.*973 citations*
78. **[Fast and Accurate Single Image Super-Resolution via Information Distillation Network ↗](https://doi.org/10.1109/cvpr.2018.00082)**Hui Zheng, Xiumei Wang, Xinbo Gao*955 citations*
79. **[The Perception-Distortion Tradeoff ↗](https://doi.org/10.1109/cvpr.2018.00652)**Yochai Blau, Tomer Michaeli*955 citations*
80. **[Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN ↗](https://doi.org/10.1109/cvpr.2018.00572)**Shuai Li, Wanqing Li, Chris Cook et al.*939 citations*
81. **[Zero-Shot Super-Resolution Using Deep Internal Learning ↗](https://doi.org/10.1109/cvpr.2018.00329)**Assaf Shocher, Nadav Cohen, Michal Irani*936 citations*
82. **[Neural 3D Mesh Renderer ↗](https://doi.org/10.1109/cvpr.2018.00411)**Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada*933 citations*
83. **[A Papier-Mache Approach to Learning 3D Surface Generation ↗](https://doi.org/10.1109/cvpr.2018.00030)**Thibault Groueix, Matthew Fisher, Vladimir G. Kim et al.*910 citations*
84. **[Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser ↗](https://doi.org/10.1109/cvpr.2018.00191)**Fangzhou Liao, Ming Xuan Liang, Yinpeng Dong et al.*902 citations*
85. **[Real-Time Seamless Single Shot 6D Object Pose Prediction ↗](https://doi.org/10.1109/cvpr.2018.00038)**Bugra Tekin, Sudipta N. Sinha, Pascal Fua*900 citations*
86. **[Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking ↗](https://doi.org/10.1109/cvpr.2018.00515)**Feng Li, Tian Cheng, Wangmeng Zuo et al.*890 citations*
87. **[An Analysis of Scale Invariance in Object Detection - SNIP ↗](https://doi.org/10.1109/cvpr.2018.00377)**Bharat Singh, Larry Steven Davis*875 citations*
88. **[Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00523)**Jiwoon Ahn, Suha Kwak*872 citations*
89. **[Learning a Discriminative Feature Network for Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00199)**Changqian Yu, Jingbo Wang, Chao Peng et al.*870 citations*
90. **[A High-Quality Denoising Dataset for Smartphone Cameras ↗](https://doi.org/10.1109/cvpr.2018.00182)**Abdelrahman Abdelhamed, Stephen Ching-Feng Lin, Michael S. Brown*867 citations*
91. **[CondenseNet: An Efficient DenseNet Using Learned Group Convolutions ↗](https://doi.org/10.1109/cvpr.2018.00291)**Gao Ming Huang, Shichen Liu, Laurens van der Maaten et al.*864 citations*
92. **[PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection ↗](https://doi.org/10.1109/cvpr.2018.00326)**Nian Liu, Junwei Han, Ming–Hsuan Yang*863 citations*
93. **[PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation ↗](https://doi.org/10.1109/cvpr.2018.00033)**Danfei Xu, Dragomir Anguelov, Ashesh Jain*835 citations*
94. **[Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation ↗](https://doi.org/10.1109/cvpr.2018.00938)**Huaizu Jiang, Deqing Sun, Varan Jampani et al.*829 citations*
95. **[MAttNet: Modular Attention Network for Referring Expression Comprehension ↗](https://doi.org/10.1109/cvpr.2018.00142)**Licheng Yu, Zhe Lin, Xiaohui Shen et al.*824 citations*
96. **[Image Generation from Scene Graphs ↗](https://doi.org/10.1109/cvpr.2018.00133)**Justin M. Johnson, Agrim Gupta, Li Fei-Fei*813 citations*
97. **[Attentive Generative Adversarial Network for Raindrop Removal from A Single Image ↗](https://doi.org/10.1109/cvpr.2018.00263)**Rui Qian, Robby T. Tan, Wenhan Yang et al.*798 citations*
98. **[Interpretable Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2018.00920)**Quanshi Zhang, Ying Nian Wu, Song Chun Zhu*797 citations*
99. **[SPLATNet: Sparse Lattice Networks for Point Cloud Processing ↗](https://doi.org/10.1109/cvpr.2018.00268)**Hang Su, Varun Jampani, Deqing Sun et al.*797 citations*
100. **[NISP: Pruning Networks Using Neuron Importance Score Propagation ↗](https://doi.org/10.1109/cvpr.2018.00958)**Ruichi Yu, Ang Li, Chun-Fu Chen et al.*794 citations*

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