Most Popular Papers: CVPR

Full of familiar names: ResNet, ImageNet, YOLO, GoogLeNet, HoG, R-CNN, FCN, KITTI, FaceNet, FPN, Pix2pix, SENet, Xception, MobileNet, SRGAN, SRCNN, Sub-Pixel Conv, ResNeXt, EfficientDet, Dark Channel, ….

Papers before the deep learning era are highlighted.

Interesting findings

  • Most of them are published in or after 2012
  • EfficientDet is the only paper in the list which is published in 2020
  • CVPR best papers in the list: DenseNet(2017), ResNet(2016), Dark Channel Prior(2009)
  • The top 2 years when the papers in the list published: 2016&2017
  1. Deep Residual Learning for Image Recognition Kaiming He;Xiangyu Zhang;Shaoqing Ren;Jian Sun 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2016,Page(s):770 – 778 Cited by: Papers (23748) | Patents (42)
  2. ImageNet: A large-scale hierarchical image database Jia Deng;Wei Dong;Richard Socher;Li-Jia Li;Kai Li;Li Fei-Fei 2009 IEEE Conference on Computer Vision and Pattern Recognition Publication Year: 2009,Page(s):248 – 255 Cited by: Papers (8439) | Patents (97)
  3. You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon;Santosh Divvala;Ross Girshick;Ali Farhadi 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2016,Page(s):779 – 788 Cited by: Papers (5067) | Patents (28)
  4. Going deeper with convolutions Christian Szegedy;Wei Liu;Yangqing Jia;Pierre Sermanet;Scott Reed;Dragomir Anguelov;Dumitru Erhan;Vincent Vanhoucke;Andrew Rabinovich 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2015,Page(s):1 – 9 Cited by: Papers (10368) | Patents (41)
  5. Histograms of oriented gradients for human detection N. Dalal;B. Triggs 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) Publication Year: 2005,Page(s):886 – 893 vol. 1 Cited by: Papers (12541) | Patents (394)
  6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation Ross Girshick;Jeff Donahue;Trevor Darrell;Jitendra Malik 2014 IEEE Conference on Computer Vision and Pattern Recognition Publication Year: 2014,Page(s):580 – 587 Cited by: Papers (6832) | Patents (58)
  7. Rapid object detection using a boosted cascade of simple features P. Viola;M. Jones Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 Publication Year: 2001,Page(s):I – I Cited by: Papers (7032) | Patents (619)
  8. Fully convolutional networks for semantic segmentation Jonathan Long;Evan Shelhamer;Trevor Darrell 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2015,Page(s):3431 – 3440 Cited by: Papers (7539) | Patents (95)
  9. YOLO9000: Better, Faster, Stronger Joseph Redmon;Ali Farhadi 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2017,Page(s):6517 – 6525 Cited by: Papers (1369) | Patents (2)
  10. Are we ready for autonomous driving? The KITTI vision benchmark suite Andreas Geiger;Philip Lenz;Raquel Urtasun 2012 IEEE Conference on Computer Vision and Pattern Recognition Publication Year: 2012,Page(s):3354 – 3361 Cited by: Papers (2792) | Patents (17)
  11. Densely Connected Convolutional Networks Gao Huang;Zhuang Liu;Laurens Van Der Maaten;Kilian Q. Weinberger 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2017,Page(s):2261 – 2269 Cited by: Papers (2800) | Patents (6)
  12. FaceNet: A unified embedding for face recognition and clustering Florian Schroff;Dmitry Kalenichenko;James Philbin 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2015,Page(s):815 – 823 Cited by: Papers (2780) | Patents (66)
  13. A non-local algorithm for image denoising A. Buades;B. Coll;J.-M. Morel 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) Publication Year: 2005,Page(s):60 – 65 vol. 2 Cited by: Papers (2205) | Patents (77)
  14. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation R. Qi Charles;Hao Su;Mo Kaichun;Leonidas J. Guibas 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2017,Page(s):77 – 85 Cited by: Papers (157) | Patents (1)
  15. Feature Pyramid Networks for Object Detection Tsung-Yi Lin;Piotr Dollár;Ross Girshick;Kaiming He;Bharath Hariharan;Serge Belongie 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2017,Page(s):936 – 944 Cited by: Papers (1569) | Patents (1)
  16. Rethinking the Inception Architecture for Computer Vision Christian Szegedy;Vincent Vanhoucke;Sergey Ioffe;Jon Shlens;Zbigniew Wojna 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2016,Page(s):2818 – 2826 Cited by: Papers (3955) | Patents (13)
  17. Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola;Jun-Yan Zhu;Tinghui Zhou;Alexei A. Efros 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2017,Page(s):5967 – 5976 Cited by: Papers (1574) | Patents (8)
  18. Squeeze-and-Excitation Networks Jie Hu;Li Shen;Gang Sun 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Publication Year: 2018,Page(s):7132 – 7141 Cited by: Papers (1036)
  19. Visual object tracking using adaptive correlation filters David S. Bolme;J. Ross Beveridge;Bruce A. Draper;Yui Man Lui 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Publication Year: 2010,Page(s):2544 – 2550 Cited by: Papers (1126) | Patents (1)
  20. DeepFace: Closing the Gap to Human-Level Performance in Face Verification Yaniv Taigman;Ming Yang;Marc’Aurelio Ranzato;Lior Wolf 2014 IEEE Conference on Computer Vision and Pattern Recognition Publication Year: 2014,Page(s):1701 – 1708 Cited by: Papers (2041) | Patents (27)
  21. Image Style Transfer Using Convolutional Neural Networks Leon A. Gatys;Alexander S. Ecker;Matthias Bethge 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2016,Page(s):2414 – 2423 Cited by: Papers (1050) | Patents (16)
  22. Multi-column deep neural networks for image classification Dan Ciregan;Ueli Meier;Jürgen Schmidhuber 2012 IEEE Conference on Computer Vision and Pattern Recognition Publication Year: 2012,Page(s):3642 – 3649 Cited by: Papers (1108) | Patents (10)
  23. Xception: Deep Learning with Depthwise Separable Convolutions François Chollet 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2017,Page(s):1800 – 1807 Cited by: Papers (807) | Patents (9)
  24. MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler;Andrew Howard;Menglong Zhu;Andrey Zhmoginov;Liang-Chieh Chen 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Publication Year: 2018,Page(s):4510 – 4520 Cited by: Papers (829)
  25. Learning Deep Features for Discriminative Localization Bolei Zhou;Aditya Khosla;Agata Lapedriza;Aude Oliva;Antonio Torralba 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2016,Page(s):2921 – 2929 Cited by: Papers (1277) | Patents (7)
  26. Learning a similarity metric discriminatively, with application to face verification S. Chopra;R. Hadsell;Y. LeCun 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) Publication Year: 2005,Page(s):539 – 546 vol. 1 Cited by: Papers (910) | Patents (22)
  27. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network Christian Ledig;Lucas Theis;Ferenc Huszár;Jose Caballero;Andrew Cunningham;Alejandro Acosta;Andrew Aitken;Alykhan Tejani;Johannes Totz;Zehan Wang;Wenzhe Shi 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2017,Page(s):105 – 114 Cited by: Papers (1000) | Patents (1)
  28. Dimensionality Reduction by Learning an Invariant Mapping R. Hadsell;S. Chopra;Y. LeCun 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’06) Publication Year: 2006,Page(s):1735 – 1742 Cited by: Papers (643) | Patents (10)
  29. Learning to detect unseen object classes by between-class attribute transfer Christoph H. Lampert;Hannes Nickisch;Stefan Harmeling 2009 IEEE Conference on Computer Vision and Pattern Recognition Publication Year: 2009,Page(s):951 – 958 Cited by: Papers (722) | Patents (8)
  30. Social LSTM: Human Trajectory Prediction in Crowded Spaces Alexandre Alahi;Kratarth Goel;Vignesh Ramanathan;Alexandre Robicquet;Li Fei-Fei;Silvio Savarese 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2016,Page(s):961 – 971 Cited by: Papers (485)
  31. Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim;Jung Kwon Lee;Kyoung Mu Lee 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2016,Page(s):1646 – 1654 Cited by: Papers (1418) | Patents (5)
  32. Large-Scale Video Classification with Convolutional Neural Networks Andrej Karpathy;George Toderici;Sanketh Shetty;Thomas Leung;Rahul Sukthankar;Li Fei-Fei 2014 IEEE Conference on Computer Vision and Pattern Recognition Publication Year: 2014,Page(s):1725 – 1732 Cited by: Papers (2269) | Patents (27)
  33. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi;Jose Caballero;Ferenc Huszár;Johannes Totz;Andrew P. Aitken;Rob Bishop;Daniel Rueckert;Zehan Wang 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2016,Page(s):1874 – 1883 Cited by: Papers (1024) | Patents (5)
  34. Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild Shangzhe Wu;Christian Rupprecht;Andrea Vedaldi 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2020,Page(s):1 – 10
  35. Single-Image Crowd Counting via Multi-Column Convolutional Neural Network Yingying Zhang;Desen Zhou;Siqin Chen;Shenghua Gao;Yi Ma 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2016,Page(s):589 – 597 Cited by: Papers (383) | Patents (3)
  36. Dual Attention Network for Scene Segmentation Jun Fu;Jing Liu;Haijie Tian;Yong Li;Yongjun Bao;Zhiwei Fang;Hanqing Lu 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2019,Page(s):3141 – 3149 Cited by: Papers (119)
  37. Saliency Detection: A Spectral Residual Approach Xiaodi Hou;Liqing Zhang 2007 IEEE Conference on Computer Vision and Pattern Recognition Publication Year: 2007,Page(s):1 – 8 Cited by: Papers (1811) | Patents (7)
  38. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories S. Lazebnik;C. Schmid;J. Ponce 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’06) Publication Year: 2006,Page(s):2169 – 2178 Cited by: Papers (3601) | Patents (132)
  39. Unbiased look at dataset bias Antonio Torralba;Alexei A. Efros CVPR 2011 Publication Year: 2011,Page(s):1521 – 1528 Cited by: Papers (554) | Patents (4)
  40. CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction Keisuke Tateno;Federico Tombari;Iro Laina;Nassir Navab 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2017,Page(s):6565 – 6574 Cited by: Papers (123) | Patents (1)
  41. Aggregated Residual Transformations for Deep Neural Networks Saining Xie;Ross Girshick;Piotr Dollár;Zhuowen Tu;Kaiming He 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2017,Page(s):5987 – 5995 Cited by: Papers (713)
  42. EfficientDet: Scalable and Efficient Object Detection Mingxing Tan;Ruoming Pang;Quoc V. Le 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2020,Page(s):10778 – 10787 Cited by: Papers (10)
  43. One millisecond face alignment with an ensemble of regression trees Vahid Kazemi;Josephine Sullivan 2014 IEEE Conference on Computer Vision and Pattern Recognition Publication Year: 2014,Page(s):1867 – 1874 Cited by: Papers (893) | Patents (25)
  44. Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields Zhe Cao;Tomas Simon;Shih-En Wei;Yaser Sheikh 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2017,Page(s):1302 – 1310 Cited by: Papers (712) | Patents (2)
  45. Real-time human pose recognition in parts from single depth images Jamie Shotton;Andrew Fitzgibbon;Mat Cook;Toby Sharp;Mark Finocchio;Richard Moore;Alex Kipman;Andrew Blake CVPR 2011 Publication Year: 2011,Page(s):1297 – 1304 Cited by: Papers (1666) | Patents (106)
  46. Pyramid Scene Parsing Network Hengshuang Zhao;Jianping Shi;Xiaojuan Qi;Xiaogang Wang;Jiaya Jia 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2017,Page(s):6230 – 6239 Cited by: Papers (1020)
  47. Single image haze removal using dark channel prior Kaiming He;Jian Sun;Xiaoou Tang 2009 IEEE Conference on Computer Vision and Pattern Recognition Publication Year: 2009,Page(s):1956 – 1963 Cited by: Papers (169) | Patents (12)
  48. PCA-SIFT: a more distinctive representation for local image descriptors Yan Ke;R. Sukthankar Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. Publication Year: 2004,Page(s):II – II Cited by: Papers (459) | Patents (27)
  49. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset João Carreira;Andrew Zisserman 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2017,Page(s):4724 – 4733 Cited by: Papers (631) | Patents (1)
  50. Show and tell: A neural image caption generator Oriol Vinyals;Alexander Toshev;Samy Bengio;Dumitru Erhan 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Publication Year: 2015,Page(s):3156 – 3164 Cited by: Papers (1314) | Patents (15)

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