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Awesome Best Papers in Computer Vision Top Conference(CVPR/ICCV/ECCV)
https://github.com/yyyujintang/awesome-cv-best-paper-list
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Awesome Best Papers in Computer Vision Top Conference(CVPR/ICCV/ECCV)
- Host: GitHub
- URL: https://github.com/yyyujintang/awesome-cv-best-paper-list
- Owner: yyyujintang
- Created: 2023-10-17T08:24:27.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-17T15:00:13.000Z (about 1 month ago)
- Last Synced: 2024-10-19T21:51:04.918Z (29 days ago)
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- Size: 5.48 MB
- Stars: 19
- Watchers: 1
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome-cv-best-paper-list - Awesome Best Papers in Computer Vision Top Conference(CVPR/ICCV/ECCV). (Other Lists / PowerShell Lists)
README
# Awesome-CV-Best-Paper-List
- [Awesome-CV-Best-Paper-List](#awesome-cv-best-paper-list)
- [CVPR Best Paper Award](#cvpr-best-paper-award)
- [CVPR Best Student Paper Award](#cvpr-best-student-paper-award)
- [CVPR Best Paper Honorable Mention Award](#cvpr-best-paper-honorable-mention-award)
- [ICCV Best Paper (Marr Prize)](#iccv-best-paper-marr-prize)
- [ICCV Best Student Paper](#iccv--best-student-paper)
- [ICCV Best Paper Honorable Mention Award](#iccv-best-paper-honorable-mention-award)
- [ECCV Best Paper Award](#eccv-best-paper-award)
- [ECCV Best Paper Honorable Mention Award](#eccv-best-paper-honorable-mention-award)
- [Reference](#reference)
## CVPR Best Paper Award
The CVPR best paper award is picked by a committee delegated by the program chairs of the conference. It recognizes the very best work appearing at the conference.
| Year | Paper | Author | Code | Demo |
| ---- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
| 2024 | ["Rich Human Feedback for Text-to-Image Generation"](https://openaccess.thecvf.com/content/CVPR2024/papers/Liang_Rich_Human_Feedback_for_Text-to-Image_Generation_CVPR_2024_paper.pdf) | Y. Liang, J. He, G. Li, P. Li, A. Klimovskiy, N. Carolan, J. Sun, J. Pont-Tuset, S. Young, F. Yang, J. Ke, K. D. Dvijotham, K. M. Collins, Y. Luo, Y. Li, K. J. Kohlhoff, D. Ramachandran, V. Navalpakkam | [Code](https://github.com/google-research/google-research/tree/master/richhf_18k) | |
| 2024 | ["Generative Image Dynamics"](https://openaccess.thecvf.com/content/CVPR2024/papers/Li_Generative_Image_Dynamics_CVPR_2024_paper.pdf) | Z. Li, R. Tucker, N. Snavely, A. Holynski | | |
| 2023 | ["Visual Programming: Compositional Visual Reasoning Without Training"](https://openaccess.thecvf.com/content/CVPR2023/papers/Gupta_Visual_Programming_Compositional_Visual_Reasoning_Without_Training_CVPR_2023_paper.pdf) | T. Gupta, A. Kembhavi | [Code](https://github.com/allenai/visprog)  | [Demo](https://prior.allenai.org/projects/visprog) |
| 2023 | [“Planning-Oriented Autonomous Driving”](https://openaccess.thecvf.com/content/CVPR2023/papers/Hu_Planning-Oriented_Autonomous_Driving_CVPR_2023_paper.pdf) | Y. Hu, J. Yang, L. Chen, K. Li, C. Sima, X. Zhu, S. Chai, S. Du, T. Lin, W. Wang, L. Lu, X. Jia, Q. Liu, J. Dai, Y. Qiao, H. Li | [Code](https://github.com/OpenDriveLab/UniAD)  | [Slides](https://opendrivelab.com/e2ead/UniAD_plenary_talk_slides.pdf) |
| 2022 | [“Learning to Solve Hard Minimal Problems”](https://openaccess.thecvf.com/content/CVPR2022/papers/Hruby_Learning_To_Solve_Hard_Minimal_Problems_CVPR_2022_paper.pdf) | P. Hruby, T. Duff, A. Leykin, T. Pajdla | [Code](https://github.com/petrhruby97/learning_minimal)  | |
| 2021 | [“GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields”](https://openaccess.thecvf.com/content/CVPR2021/papers/Niemeyer_GIRAFFE_Representing_Scenes_As_Compositional_Generative_Neural_Feature_Fields_CVPR_2021_paper.pdf)" | M. Niemeyer, A. Geiger | [Code](https://github.com/autonomousvision/giraffe) | [Demo](https://m-niemeyer.github.io/project-pages/giraffe/index.html) |
| 2020 | [“Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild”](https://openaccess.thecvf.com/content_CVPR_2020/papers/Wu_Unsupervised_Learning_of_Probably_Symmetric_Deformable_3D_Objects_From_Images_CVPR_2020_paper.pdf) [Demo](https://elliottwu.com/projects/20_unsup3d/) | S. Wu, C. Rupprecht, A. Vedaldi | [Code](https://github.com/elliottwu/unsup3d)  | [Demo](http://www.robots.ox.ac.uk/~vgg/blog/unsupervised-learning-of-probably-symmetric-deformable-3d-objects-from-images-in-the-wild.html) |
| 2019 | [“A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction”](https://imaging.cs.cmu.edu/fermat_paths/assets/cvpr2019.pdf) | S. Xin, S. Nousias, K. Kutulakos, A. Sankaranarayanan, S. G. Narasimhan, I. Gkioulekas | [Code](https://github.com/cmu-ci-lab/nlos_fermat_path)  | [Demo](https://imaging.cs.cmu.edu/fermat_paths/) |
| 2018 | [“Taskonomy: Disentangling Task Transfer Learning”](https://openaccess.thecvf.com/content_cvpr_2018/papers/Zamir_Taskonomy_Disentangling_Task_CVPR_2018_paper.pdf) | A. R. Zamir, A. Sax, W. Shen, L. J. Guibas, J. Malik, S. Savarese | [Code](https://github.com/StanfordVL/taskonomy/)  | [Demo](http://taskonomy.stanford.edu/) |
| 2017 | [“Densely Connected Convolutional Networks”](https://openaccess.thecvf.com/content_cvpr_2017/papers/Huang_Densely_Connected_Convolutional_CVPR_2017_paper.pdf) | G. Huang, Z. Liu, L. van der Maaten, K. Q. Weinberger | [Code](https://github.com/liuzhuang13/DenseNet)  | |
| 2017 | [“Learning from Simulated and Unsupervised Images through Adversarial Training”](https://openaccess.thecvf.com/content_cvpr_2017/papers/Shrivastava_Learning_From_Simulated_CVPR_2017_paper.pdf) | A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, R. Webb | | |
| 2016 | [“Deep Residual Learning for Image Recognition”](https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/He_Deep_Residual_Learning_CVPR_2016_paper.pdf) | K. He, X. Zhang, S. Ren, J. Sun | | |
| 2015 | “DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-Time” | R. A. Newcombe, D. Fox, S. M. Seitz | | |
| 2014 | “What Camera Motion Reveals About Shape with Unknown BRDF” | M. K. Chandraker | | |
| 2013 | “Fast, Accurate Detection of 100,000 Object Classes on a Single Machine” | T. Dean, J. Yagnik, M. Ruzon, M. Segal, J. Shlens, S. Vijayanarasimhan | | |
| 2012 | “A Simple Prior-free Method for Non-Rigid Structure-from-Motion Factorization” | Y. Dai, H. Li, M. He | | |
| 2011 | “Real-time Human Pose Recognition in Parts from Single Depth Images” | J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, A. Blake | | |
| 2010 | “Efficient Computation of Robust Low-Rank Matrix Approximations in the Presence of Missing Data using the L1 Norm” | A. Eriksson, A. van den Hengel | | |
| 2009 | “Single Image Haze Removal Using Dark Channel Prior” | K. He, J. Sun, X. Tang | | |
| 2008 | “Beyond Sliding Windows: Object Localization by Efficient Subwindow Search” | C. H. Lampert, M. B. Blaschko, T. Hofmann | | |
| 2008 | “Global Stereo Reconstruction under Second Order Smoothness Priors” | O. Woodford, I. Reid, P. Torr, A. Fitzgibbon | | |
| 2007 | “Dynamic 3D Scene Analysis from a Moving Vehicles” | B. Leibe, N. Cornelis, K. Cornelis, L. Van Gool | | |
| 2006 | “Putting Objects in Perspective” | D. Hoiem, A. Efros, M. Hebert | | |
| 2005 | “Real-Time Non-Rigid Surface Detection” | J. Pilet, V. Lepetit, P. Fua | | |
| 2004 | “Programmable Imaging Using a Digital Micromirror Array” | S. K. Nayar, V. Branzoi, T. Boult | | |
| 2003 | “Object Class Recognition by Unsupervised Scale-Invariant Learning” | R. Fergus, P. Perona, A. Zisserman | | |
| 2001 | “Morphable 3D Models From Video” | M. Brand | | |
| 2000 | “Real-Time Tracking of Non-Rigid Objects using Mean Shift” | D. Comaniciu, V. Ramesh, P. Meer | | |
| 1999 | “Robust Hierarchical Algorithm for Constructing a Mosaic from Images of the Curved Human Retina” | A. Can, C. V. Stewart, B. Roysam | | |
| 1998 | “Optimal Structure from Motion: Local Ambiguities and Global Estimates” | A. Chiuso, R. Brockett, S. Soatto | | |
| 1997 | “What is a Light Source?” | M. Langer, S. Zucker | | |
| 1997 | “Learning Bilinear Models for Two-factor Problems in Vision” | W. T. Freeman, J. B. Tenenbaum | | |
| 1996 | “What is the Set of Images of an Object Under All Possible Lighting Conditions?” | P. Belhumeur, D. Kriegman | | |
| 1991 | “Face Recognition Using Eigenfaces” | M. Turk, A. Pentland | | |
| 1991 | “Robust Dynamic Motion Estimation Over Time” | M. J. Black, P. Anandan | | |
| 1991 | “Determining 3-D object Pose Using the Complex Extended Gaussian Image” | S. B. Kang and K. Ikeuchi | | |
| 1988 | “Large Hierarchical Object Recognition Using Libraries of Parameterized Model Sub-Parts” | G. J. Ettinger | | |
## CVPR Best Student Paper Award
The CVPR best student paper award is picked by a committee delegated by the program chairs of the conference. It recognizes the very best work appearing at the conference where the first author was a student at the time of submission.
| Year | Paper | Author | Code | Demo |
| ---- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------ |
| 2024 | [“BioCLIP: A Vision Foundation Model for the Tree of Life”](https://openaccess.thecvf.com/content/CVPR2024/papers/Stevens_BioCLIP_A_Vision_Foundation_Model_for_the_Tree_of_Life_CVPR_2024_paper.pdf) | S. Stevens, J. Wu, M. J. Thompson, E. G. Campolongo, C. H. Song, D. E. Carlyn, L. Dong, W. M. Dahdul, C. Stewart, T. Berger-Wolf, W.-L. Chao, Y. Su | | |
| 2024 | [“Mip-Splatting: Alias-free 3D Gaussian Splatting”](https://openaccess.thecvf.com/content/CVPR2024/papers/Yu_Mip-Splatting_Alias-free_3D_Gaussian_Splatting_CVPR_2024_paper.pdf) | Z. Yu, A. Chen, B. Huang, T. Sattler, A. Geiger | [Code](https://github.com/autonomousvision/mip-splatting)  | |
| 2023 | [“3D Registration With Maximal Cliques”](https://openaccess.thecvf.com/content/CVPR2023/papers/Zhang_3D_Registration_With_Maximal_Cliques_CVPR_2023_paper.pdf) | X. Zhang, J. Yang, S. Zhang, Y. Zhang | [Code](https://github.com/zhangxy0517/3D-Registration-with-Maximal-Cliques)  | |
| 2022 | [“EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation”](https://openaccess.thecvf.com/content/CVPR2022/papers/Chen_EPro-PnP_Generalized_End-to-End_Probabilistic_Perspective-N-Points_for_Monocular_Object_Pose_Estimation_CVPR_2022_paper.pdf) | H. Chen, P. Wang, F. Wang, W. Tian, L. Xiong, H. Li | [Code](https://github.com/tjiiv-cprg/EPro-PnP)  | |
| 2021 | [“Task Programming: Learning Data Efficient Behavior Representations”](https://openaccess.thecvf.com/content/CVPR2021/papers/Sun_Task_Programming_Learning_Data_Efficient_Behavior_Representations_CVPR_2021_paper.pdf) | J. J. Sun, A. Kennedy, E. Zhan, D. J. Anderson, Y. Yue, P. Perona | [Code](https://github.com/neuroethology/TREBA)  | [Demo](https://sites.google.com/view/task-programming) |
| 2020 | [“BSP-Net: Generating Compact Meshes via Binary Space Partitioning”](https://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_BSP-Net_Generating_Compact_Meshes_via_Binary_Space_Partitioning_CVPR_2020_paper.pdf) | Z. Chen, A. Tagliasacchi, H. Zhang | [Code ](https://github.com/czq142857/BSP-NET-original)  | [Demo](https://bsp-net.github.io/) |
| 2019 | [“Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation”](https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Reinforced_Cross-Modal_Matching_and_Self-Supervised_Imitation_Learning_for_Vision-Language_Navigation_CVPR_2019_paper.pdf) | X. Wang, Q. Huang, A. Celikyilmaz, J. Gao, D. Shen, Y.-F. Wang, W. Y. Wang, L. Zhang | | |
| 2018 | [“Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies”](https://openaccess.thecvf.com/content_cvpr_2018/papers/Joo_Total_Capture_A_CVPR_2018_paper.pdf) | H. Joo, T. Simon, Y. Sheikh | [Code](https://github.com/Myzhencai/Total-Capture)  | [Demo](https://www.cs.cmu.edu/~hanbyulj/totalcapture/) |
| 2017 | [“Computational Imaging on the Electric Grid”](https://openaccess.thecvf.com/content_cvpr_2017/papers/Sheinin_Computational_Imaging_on_CVPR_2017_paper.pdf) | M. Sheinin, Y. Y. Schechner, K. N. Kutulakos | | |
| 2016 | “Structural-RNN: Deep Learning on Spatio-Temporal Graphs” | A. Jain, A. R. Zamir, S. Savarese, A. Saxena | | |
| 2015 | “Category-Specific Object Reconstruction from a Single Image” | A. Kar, S. Tulsiani, J. Carreira, J. Malik | | |
| 2014 | “Partial Optimality by Pruning for MAP-inference with General Graphical Models” | P. Swoboda, B. Savchynskyy, J. Kappes, C. Schnorr | | |
| 2013 | “Discriminative Non-blind Deblurring” | U. Schmidt, C. Rother, S. Nowozin, J. Jancsary, S. Roth | | |
| 2012 | “Max-Margin Early Event Detectors” | M. Hoai, F. De la Torre | | |
| 2011 | “Recognition Using Visual Phrases” | A. Farhadi, M. Amin Sadeghi | | |
| 2011 | “Separating Reflective and Fluorescent Components of An Image” (Honorable Mention) | C. Zhang, I. Sato | | |
| 2010 | “Visual Event Recognition in Videos by Learning from Web Data” | L. Duan, D. Xu, W.-H. Tsang, J. Luo | | |
| 2010 | “Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities” (Honorable Mention) | B. Yao, L. Fei-Fei | | |
| 2009 | “Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment” | C. Liu, J. Yuen, A. Torralba | | |
| 2009 | “A Tensor-Based Algorithm for High-Order Graph Matching” (Honorable Mention) | O. Duchenne, F. Bach, I. S. Kweon, J. Ponce | | |
| 2008 | “Fast Image Search for Learned Metrics” | P. Jain, B. Kulis, K. Grauman | | |
| 2007 | “Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Life Spans” | Y. Li, H. Ai, T. Yamashita, S. Lao, M. Kawade | | |
| 2006 | “Fast Image Search for Learned Metrics” | P. Jain, B. Kulis, K. Grauman | | |
| 2003 | “Vector-Valued Image Regularization with PDE’s: A Common Framework for Different Applications” | D. Tschumperle, R. Deriche | | |
| 2001 | “Tracking and modeling non-rigid objects with rank constraints” | L. Torresani, D. Yang, E. Alexander, C. Bregler | | |
| 2001 | “Dense image matching with global and local statistical criteria: a variational approach” (Outstanding Student Paper) | G. Hermosillo, O. Faugeras | | |
| 2001 | “JPDAF based HMM for real-time contour tracking” (Outstanding Student Paper) | Y. Chen, Y. Rui, T. Huang | | |
| 2001 | “Model-based curve evolution techniques for image segmentation” (Outstanding Student Paper) | A. Tsai, A. Yezzi, W. Wells, C. Tempany, D. Tucker, A. Fan, E. Grimson, A. Willsky | | |
| 1994 | “Occluding Contour Detection Using Affine Invariants and Purposive Viewpoint Control” | K. Kutulakos and C. Dyer | | |
## CVPR Best Paper Honorable Mention Award
The CVPR best paper honorable mention award is picked by a committee delegated by the program chairs of the conference. It recognizes outstanding work appearing at the conference.
| Year | Paper | Author | Code | Demo |
| ---- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
| 2024 | “pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction” | | | |
| 2024 | “EventPS: Real-Time Photometric Stereo Using an Event Camera” | | | |
| 2024 | “Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods” (Student Paper) | | | |
| 2024 | “Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods” (Student Paper) | | | |
| 2024 | “Image Processing GNN: Breaking Rigidity in Super-Resolution” (Student Paper) | | | |
| 2024 | “SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency” (Student Paper) | | | |
| 2023 | [“DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation”](https://openaccess.thecvf.com/content/CVPR2023/papers/Ruiz_DreamBooth_Fine_Tuning_Text-to-Image_Diffusion_Models_for_Subject-Driven_Generation_CVPR_2023_paper.pdf) | N. Ruiz, Y. Li, V. Jampani, Y. Pritch, M. Rubinstein, K. Aberman | [Code](https://github.com/google/dreambooth)  | [Demo](https://dreambooth.github.io/) |
| 2023 | [“DynIBaR: Neural Dynamic Image-Based Rendering”](https://openaccess.thecvf.com/content/CVPR2023/papers/Li_DynIBaR_Neural_Dynamic_Image-Based_Rendering_CVPR_2023_paper.pdf) | Z. Li, Q. Wang, F. Cole, R. Tucker, N. Snavely | [Code](https://github.com/google/dynibar)  | [Demo](https://dynibar.github.io/) |
| 2022 | [“Dual-Shutter Optical Vibration Sensing”](https://openaccess.thecvf.com/content/CVPR2022/papers/Sheinin_Dual-Shutter_Optical_Vibration_Sensing_CVPR_2022_paper.pdf) | M. Sheinin, D. Chan, M. O’Toole, S. Narasimhan | | |
| 2022 | [“Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields”](https://openaccess.thecvf.com/content/CVPR2022/papers/Verbin_Ref-NeRF_Structured_View-Dependent_Appearance_for_Neural_Radiance_Fields_CVPR_2022_paper.pdf) | D. Verbin, P. Hedman, B. Mildenhall, T. Zickler, J. Barron, P. Srinivasan | [Code](https://github.com/google-research/multinerf)  | [Demo](https://dorverbin.github.io/refnerf/) |
| 2021 | [“Exploring Simple Siamese Representation Learning”](https://openaccess.thecvf.com/content/CVPR2021/papers/Chen_Exploring_Simple_Siamese_Representation_Learning_CVPR_2021_paper.pdf) | X. Chen, K. He | [Code](https://github.com/facebookresearch/simsiam)  | |
| 2021 | [“Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos”](https://openaccess.thecvf.com/content/CVPR2021/papers/Jafarian_Learning_High_Fidelity_Depths_of_Dressed_Humans_by_Watching_Social_CVPR_2021_paper.pdf) | Y. Jafarian, H. S. Park | [Code](https://github.com/yasaminjafarian/HDNet_TikTok)  | [Demo](https://www.yasamin.page/hdnet_tiktok) |
| 2021 | [“Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling”](https://openaccess.thecvf.com/content/CVPR2021/papers/Lei_Less_Is_More_ClipBERT_for_Video-and-Language_Learning_via_Sparse_Sampling_CVPR_2021_paper.pdf) | J. Lei, L. Li, L. Zhou, Z. Gan, T. L. Berg, M. Bansal, J. Liu | [Code](https://github.com/jayleicn/ClipBERT)  | |
| 2021 | [“Binary TTC: A Temporal Geofence for Autonomous Navigation”](https://openaccess.thecvf.com/content/CVPR2021/papers/Badki_Binary_TTC_A_Temporal_Geofence_for_Autonomous_Navigation_CVPR_2021_paper.pdf) | A. Badki, O. Gallo, J. Kautz, P. Sen | [Code](https://github.com/NVlabs/BiTTC)  | |
| 2021 | [“Real-Time High-Resolution Background Matting”](https://openaccess.thecvf.com/content/CVPR2021/papers/Lin_Real-Time_High-Resolution_Background_Matting_CVPR_2021_paper.pdf) | S. Lin, A. Ryabtsev, S. Sengupta, B. Curless, S. Seitz, I. Kemelmacher-Shlizerman | [Code](https://github.com/PeterL1n/BackgroundMattingV2)  | [Demo](https://grail.cs.washington.edu/projects/background-matting-v2/#/) |
| 2020 | [“DeepCap: Monocular Human Performance Capture Using Weak Supervision”](https://openaccess.thecvf.com/content_CVPR_2020/papers/Habermann_DeepCap_Monocular_Human_Performance_Capture_Using_Weak_Supervision_CVPR_2020_paper.pdf) | M. Habermann, W. Xu, M. Zollhöfer, G. Pons-Moll, Christian Theobalt | | |
| 2019 | [“A Style-Based Generator Architecture for Generative Adversarial Networks”](https://openaccess.thecvf.com/content_CVPR_2019/papers/Karras_A_Style-Based_Generator_Architecture_for_Generative_Adversarial_Networks_CVPR_2019_paper.pdf) | T. Karras, S. Laine and T. Aila | [Code](https://github.com/NVlabs/stylegan)  | |
| 2019 | [“Learning the Depths of Moving People by Watching Frozen People”](https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Learning_the_Depths_of_Moving_People_by_Watching_Frozen_People_CVPR_2019_paper.pdf) | Z. Li, T. Dekel, F. Cole, R. Tucker, C. Liu, B. Freeman and N. Snavely | [Code](https://github.com/google/mannequinchallenge)  | [Demo](https://mannequin-depth.github.io/) |
| 2018 | [“Deep Learning of Graph Matching”](https://openaccess.thecvf.com/content_cvpr_2018/papers/Zanfir_Deep_Learning_of_CVPR_2018_paper.pdf) | A. Zanfir and C. Sminchisescu. | | |
| 2018 | [“SPLATNet: Sparse Lattice Networks for Point Cloud Processing”](https://openaccess.thecvf.com/content_cvpr_2018/papers/Su_SPLATNet_Sparse_Lattice_CVPR_2018_paper.pdf) | H. Su, V. Jampani, D. Sun, S. Maji, E. Kalogerakis, M.-H. Yang, and J. Kautz | [Code](https://github.com/NVlabs/splatnet)  | |
| 2018 | [“CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM”](https://openaccess.thecvf.com/content_cvpr_2018/papers/Bloesch_CodeSLAM_--_Learning_CVPR_2018_paper.pdf) | M. Bloesch, J. Czarnowski, R. Clark, S. Leutenegger, and A. J. Davison | [Code ](https://github.com/silviutroscot/CodeSLAM)  | |
| 2018 | “Efficient Optimization for Rank-Based Loss Functions” | P. Mohapatra, M. Rolinek, C.V. Jawahar, V. Kolmogorov, and M. Pawan Kumar | | |
| 2017 | “Annotating Object Instances with a Polygon-RNN” | L. Castrejon, K. Kundu, R. Urtasun, S. Fidler | | |
| 2017 | “YOLO9000: Better, Faster, Stronger” | J. Redmon, A. Farhadi | | |
| 2016 | “Sublabel-Accurate Relaxation of Nonconvex Energies” | T. Mollenhoff, E. Laude, M. Moeller, J. Lellmann, D. Cremers | | |
| 2015 | “Efficient Globally Optimal Consensus Maximisation with Tree Search” | T.-J. Chin, P. Purkait, A. Eriksson, D. Suter | | |
| 2015 | “Fully Convolutional Networks for Semantic Segmentation” | J. Long, E. Shelhamer, T. Darrell | | |
| 2015 | “Picture: A Probabilistic Programming Language for Scene Perception” | T. D. Kulkarni, P. Kohli, J. B. Tenenbaum, V. Mansinghka | | |
| 2014 | “3D Shape and Indirect Appearance by Structured Light Transport” | M. O’Toole, J. Mather, K. Kutulakos | | |
| 2013 | “Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization” | M. Brubaker, A. Geiger, R. Urtasun | | |
| 2011 | “Discrete-Continuous Optimization for Large-scale Structure from Motion” | D. Crandall, A. Owens, N. Snavely, D. Huttenlocher | | |
| 2009 | “Understanding and evaluating blind deconvolution algorithms” | A. Levin, Y. Weiss, F. Durand, B. Freeman | | |
| 2007 | “Spectral Matting” | A. Levin, A. Rav-Acha, D. Lischinski | | |
| 2007 | “Human Detection via Classification on Riemannian Manifolds” | O. Tuzel, F. Porikli, P. Meer | | |
| 2006 | “Incremental learning of object detectors using a visual shape alphabet” | A. Opelt, A. Pinz, A. Zisserman | | |
| 2005 | “A Non-Local Algorithm for Image Denoising” | A. Buades, B. Coll, J.-M. Morel | | |
| 2005 | “Bi-Layer Segmentation of Binocular Stereo Video” | V. Kolmogorov, A. Criminisi, A. Blake, G. Cross, C. Rother | | |
| 2005 | “Video Epitomes” | V. Cheung, B. J. Frey, N. Jojic | | |
| 2003 | “Constraint on Five Points in Two Images” | T. Werner | | |
| 2001 | “Robust on-line appearance models for visual tracking” | A. Jepson, D. Fleet, T. F. El-Maraghi | | |
| 2000 | “In search of illumination invariants” | H. Chen, P. Belhumeur, and D. Jacobs | | |
## ICCV Best Paper (Marr Prize)
At ICCV every other year, the organizers present Best Paper (Marr Prize) and Best Student Paper awards. These awards are picked by committees delegated by the program chairs of the conference.
| Year | Paper | Author | Code | Demo |
| ---- | ------------------------------------------------------------ | ------------------------------------------------------------ | ---- | ---- |
| 2023 | "Passive Ultra-Wideband Single-Photon Imaging" | Mian Wei Sotiris Nousias Rahul Gulve David B. Lindell Kiriakos N. Kutulakos | | |
| 2023 | "Adding Conditional Control to Text-to-Image Diffusion Models" | Lvmin Zhang Anyi Rao Maneesh Agrawala | | |
| 2022 | | | | |
| 2021 | “Swin Transformer: Hierarchical Vision Transformer using Shifted Windows” | Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, B. Guo | | |
| 2019 | “SinGAN: Learning a Generative Model from a Single Natural Image” | T. Shaham, T. Dekel, T. Michaeli | | |
| 2017 | “Mask R-CNN” | K. He, G. Gkioxari, P. Dollar, R. Girshick | | |
| 2015 | “Deep Neural Decision Forests” | P. Kontschieder, M. Fiterau, A. Criminisi, S. Rota Bulo | | |
| 2013 | “From Large Scale Image Categorization to Entry- Level Categories” | V. Ordonez, J. Deng, Y. Choi, A. Berg, T. Berg | | |
| 2011 | “Relative Attributes” | D. Parikh, K. Grauman | | |
| 2009 | “Discriminative Models for Multi-class Object Layout” | C. Desai, D. Ramanan, C. Fowlkes | | |
| 2007 | “Population Shape Regression From Random Design Data” | B. Davis, P. Thomas Fletcher, E. Bullitt, S. Joshi | | |
| 2005 | “Globally Optimal Estimates for Geometric Reconstruction Problems” | F. Kahl, D. Henrion | | |
| 2003 | “Image-based Rendering using Image-based Priors” | A. Fitzgibbon, Y. Wexler, A. Zisserman | | |
| 2003 | “Image Parsing: Unifying Segmentation, Detection and Recognition” | Z. Tu, X. Chen, A. L. Yuille, S.-C. Zhu | | |
| 2003 | “Detecting Pedestrians using Patterns of Motion and Appearance” | P. Viola, M. J. Jones, D. Snow | | |
| 2001 | “Probabilistic Tracking in a Metric Space” | K. Toyama, A. Blake | | |
| 2001 | “The Space of All Stereo Images” | S. Seitz | | |
| 1999 | “A Theory of Shape by Space Carving” | K. Kutulakos, S. Seitz | | |
| 1999 | “Euclidean Reconstruction and Reprojection up to Subgroups” | Y. Ma, S. Soatto, J. Kosecka, S. Sastry | | |
| 1998 | “Self-Calibration and Metric Reconstruction in spite of Varying and Unknown Internal Camera Parameters” | M. Pollefeys, R. Koch, L. Van Gool | | |
| 1998 | “Maintaining multiple motion model hypotheses over many views to recover matching and structure” | P. Torr, A. Fitzgibbon, A. Zisserman | | |
| 1995 | “A Theory of Specular Surface Geometry” | M. Oren, S. Nayar | | |
| 1995 | “Shape from Shading with Interreflections under a Proximal Light Source: Distortion-Free Copying of an Unfolded Book” | T. Wada, H. Ukida, T. Matsuyama | | |
| 1993 | “Extracting Projective Structure from Single Perspective Views of 3D Point Sets” | C. A. Rothwell, D. A. Forsyth, A. Zisserman, J. L. Mundy | | |
| 1990 | “Shape from Interreflections” | S. Nayar, K. Ikeuchi, T. Kanade | | |
| 1988 | “Color from Black and White” | B. Funt, J. Ho | | |
| 1987 | “Optical Flow using Spatiotemporal Filters” | D. Heeger | | |
## ICCV Best Student Paper
| Year | Paper | Author | Code | Demo |
| ---- | ------------------------------------------------------------ | --------------------------------------------------------- | ---- | ---- |
| 2023 | "Tracking Everything Everywhere All At Once" | Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li | | |
| 2021 | “Pixel-Perfect Structure-from-Motion with Featuremetric Refinement” | P. Lindenberger, P.-E. Sarlin, V. Larsson, M. Pollefeys | | |
| 2019 | “PLMP – Point-Line Minimal Problems in Complete Multi-View Visibility” | T. Duff, K. Kohn, A. Leykin, T. Pajdla | | |
| 2017 | “Focal Loss for Dense Object Detection” | T.-Y. Lin, P. Goyal, R. Girshick, K. He, P. Dollar | | |
| 2011 | “Close the Loop: Joint Blind Image Restoration and Recognition with Sparse Representation Prior” | H. Zhang, J. Yang, Y. Zhang, N. M. Nasrabadi, T. S. Huang | | |
## ICCV Best Paper Honorable Mention Award
The ICCV best paper honorable mention award is picked by a committee delegated by the program chairs of the conference. It recognizes outstanding work appearing at the conference.
| Year | Paper | Author | Code | Demo |
| ---- | ------------------------------------------------------------ | ------------------------------------------------------------ | ---- | ---- |
| 2023 | "Segment Anything" | Alexander Kirillov Eric Mintun Nikhila Ravi Hanzi Mao Tete Xiao Spencer Whitehead Alexander C. Berg Wan-Yen Lo Chloe Rolland Laura Gustafson Piotr Dollar Ross Girshick | | |
| 2021 | “Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields” | J. T. Barron, B. Mildenhall, M. Tancik, P. Hedman, R. Martin-Brualla, P. Srinivasan | | |
| 2021 | “OpenGAN: Open-Set Recognition via Open Data Generation” | S. Kong, D. Ramanan | | |
| 2021 | “Viewing Graph Solvability via Cycle Consistency” | D. Arrigoni, A. Fusiello, E. Ricci, T. Pajdla | | |
| 2021 | “Common Objects in 3D: LargeScale Learning and Evaluation of Real-life 3D Category Reconstruction” | J. Reizenstein, P. Henzler, R. Shapovalov, L. Sbordone, P. Labatut, D. Novotny | | |
| 2019 | “Asynchronous Single-Photon 3D Imaging” | A. Gupta, A. Ingle, M. Gupta | | |
| 2019 | “Specifying Object Attributes and Relations in Interactive Scene Generation” | O. Ashual, L. Wolf | | |
| 2017 | “First Person Activity Forecasting with Online Inverse Reinforcement Learning” | N. Rhinehart and K. M. Kitani | | |
| 2017 | “Open Set Domain Adaptation” | P. P. Busto and J. Gall | | |
| 2017 | “Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence” | D. Campbell, L. Petersson, L. Kneip, and H. Li | | |
| 2015 | “Holistically-Nested Edge Detection” | S. Xie, Z. Tu | | |
| 2013 | “Hierarchical Data-driven Descent for Efficient Optimal Deformation Estimation” | Y. Tian, S. Narasimhan | | |
| 2013 | “Piecewise Rigid Scene Flow” | C. Vogel, K. Schindler, S. Roth | | |
| 2009 | “Looking Around the Corner Using Transient Imaging” | A. Kirmani, T. Hutchison, J. Davis, R. Raskar | | |
| 2007 | “Deformable Template As Active Basis” | Y. Nian Wu, Z. Si, C. Fleming, S.-C. Zhu | | |
| 2007 | “BRDF Acquisition with Basis Illumination” | A. Ghosh, S. Achutha, W. Heidrich, M. O’Toole | | |
| 2007 | “Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration” | M. Chandraker, S. Agarwal, D. Kriegman, S. Belongie | | |
| 2005 | “A Theory of Refractive and Specular Shape by Light-Path Triangulation” | K. N. Kutulakos, E. Steger | | |
| 2005 | “Detecting Irregularities in Images and in Video” | O. Boiman, M. Irani | | |
| 2005 | “On the Spatial Statistics of Optical Flow” | S. Roth, M. J. Black | | |
| 2001 | “Alignment of Non-Overlapping Sequences” | Y. Caspi, M. Irani | | |
| 2001 | “On Projection Matrices and their Applications in Computer Vision” | L. Wolf, A. Shashua | | |
| 1999 | “Probabilistic Detection and Tracking of Motion Discontinuities” | M. Black, D. Fleet | | |
| 1999 | “Equivalence of Julesz and Gibbs texture ensembles” | Y. N. Wu, S.-C. Zhu, X. Liu | | |
| 1998 | “Stereo Matching with Transparency and Matting” | R. Szeliski, P. Golland | | |
| 1995 | “Alignment by Maximization of Mutual Information” | P. Viola, W. Wells III | | |
| 1995 | “Reconstruction from Image Sequences by Means of Relative Depths” | Anders Heyden | | |
| 1995 | “Hypergeometric Filters for Optical Flow and Affine Matching” | Y. Xiong, S. Shafer | | |
| 1988 | “Organization of Smooth Image Curves at Multiple Scales” | D. Lowe | | |
| 1988 | “Representing Oriented Piecewise C2 Surfaces” | V. Nalwa | | |
| 1988 | “The Motion Coherence Theory” | A. Yuille, N. Grzywacz | | |
| 1987 | “A ‘Complexity Level’ Analysis of Immediate Vision” | J. Tsotsos | | |
| 1987 | “Snakes: Active Contour Models” | M. Kass, A. Witkin, D. Terzopoulos | | |
| 1987 | “Active Vision” | Y. Aloimonos, I. Weiss | | |
## ECCV Best Paper Award
The ECCV best paper award is picked by a committee delegated by the program chairs of the conference. It recognizes the very best work appearing at the conference.
| Year | Paper | Author | Code | Demo |
| ---- | ------------------------------------------------------------ | ------------------------------------------------------------ | ---- | ---- |
| 2022 | “On the Versatile Uses of Partial Distance Correlation in Deep Learning” | X. Zhen, Z. Meng, R. Chakraborty, V. Singh | | |
| 2020 | “RAFT: Recurrent All-Pairs Field Transforms for Optical Flow” | Z. Teed, J. Deng | | |
| 2018 | “Implicit 3D Orientation Learning for 6D Object Detection from RGB Images” | M. Sundermeyer, Z. Marton, M. Durner, M. Brucker, and R. Triebel | | |
| 2016 | “Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera” | H. Kim, S. Leutenegger, A. J. Davison | | |
| 2014 | “Large-Scale Object Classification using Label Relation Graphs” | J. Deng, N. Ding, Y. Jia, A. Frome, K. Murphy, S. Bengio, Y. Li, H. Neven, H. Adam | | |
| 2014 | “Scene Chronology” | K. Matzen, N. Snavely | | |
| 2012 | “Segmentation Propagation in ImageNet” | D. Kuettel, M. Guillaumin, V. Ferrari | | |
| 2010 | “Graph Cut based Inference with Co-occurrence Statistics” | L. Laticky, C. Russell, P. Kohli, P. H. S. Torr | | |
| 2008 | “Learning Spatial Context: Using Stuff to Find Things” | G. Heitz, D. Koller | | |
| 2006 | “Learning to Combine Bottom-up and Top-down Segmentation” | A. Levin, Y. Weiss | | |
| 2004 | “High Accuracy Optical Flow Estimation Based on a Theory for Warping” | T. Brox, A. Bruhn, N. Papenberg, and J. Weickert | | |
| 2002 | “Increasing Space-Time Resolution in Video” | E. Shechtman, Y. Caspi and M. Irani | | |
| 2002 | “3D Statistical Shape Models Using Direct Optimisation of Description Length” | R. Davies, C. Twining, T. Cootes, J. Waterton and C. Taylor | | |
| 2002 | “Multi-camera Scene Reconstruction via Graph Cuts” and “What Energy Functions can be Minimized via Graph Cuts?” | V. Kolmogorov and R. Zabih | | |
| 2002 | “A variational Approach to Recovering a Manifold from Sample Points” | J. Gomes and A. Mojsilovic | | |
| 2002 | “Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary” (Best Paper in Cognitive Vision) | P. Duygulu, K. Barnard, N. de Freitas and D. Forsyth | | |
| 2000 | “Factorization with Uncertainty” | M. Irani and P. Anandan | | |
| 2000 | “Nonlinear Bayesian Image Modeling” | J. Winn and C. Bishop | | |
| 2000 | “Homography Tensors: On Algebraic Entities That Represent Three Views of Static or Moving Planar Points” | A. Shashua and L. Wolf | | |
| 2000 | “A Minimal Set of Constraints for the Trifocal Tensor” | Nikos Canterakis | | |
| 1998 | “Active Appearance Models” | T. F. Cootes, G. J. Edwards, and C. J. Taylor | | |
| 1998 | “What Shadows Reveal about Object Structure” | D. Kriegman, P. Belhumeur | | |
| 1996 | “Contour tracking by stochastic propagation of conditional density” | M. Isard and A. Blake | | |
| 1996 | “Geometric saliency of curve correspondences and grouping of symmetric contours” | T. J. Cham and R. Cipolla | | |
| 1992 | “Surface orientation and time to contact from image divergence and deformation” | R. Cipolla and A. Blake | | |
## ECCV Best Paper Honorable Mention Award
The ECCV best paper honorable mention award is picked by a committee delegated by the program chairs of the conference. It recognizes outstanding work appearing at the conference.
| Year | Paper | Author | Code | Demo |
| ---- | ------------------------------------------------------------ | ------------------------------------------------------------ | ---- | ---- |
| 2022 | “Pose-NDF: Modelling Human Pose Manifolds with Neural Distance Fields” | G. Tiwari, D. Antic, J. Lenssen, N. Sarafianos, T. Tung, G. Pons-Moll | | |
| 2022 | “A Level Set Theory for Neural Implicit Evolution under Explicit Flows” | I. Mehta, M. Chandraker, R. Ramamoorthi | | |
| 2020 | “Towards Streaming Perception” | M. Li, Y.-X. Wang, D. Ramanan | | |
| 2020 | “NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis” | B. Mildenhall, P. Srinivasan, M. Tancik, J. Barron, R. Ramamoorthi, R. Ng | | |
| 2018 | “Group Normalization” | Y. Wu and K. He | | |
| 2018 | “GANimation: Anatomically-aware Facial Animation from a Single Image” | A. Pumarola, A. Agudo, A. M. Martinez, A. Sanfeliu, and F. Moreno-Noguer | | |
| 2016 | “The Fast Bilateral Solver” | J. Barron, B. Poole | | |
| 2012 | “Activity Forecasting” | K. Kitani, B. D. Ziebart, J. Bagnell, M. Hebert | | |
| 2010 | “Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics” | A. Gupta, A. Efros, M. Hebert | | |
| 2006 | “Confocal Stereo” | S. W. Hasinoff, K. N. Kutulakos | | |
| 2006 | “Simultaneous Object Pose and Velocity Computation Using a Single View from a Rolling Shutter Camera” | O. Ait-Aider, N. Andreff, J. M. Lavest, P. Martinet | | |
| 2004 | “A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation” | R. Vidal, Y. Ma | | |
## Reference
https://www.thecvf.com/?page_id=413