CVPR Paper Awards
At CVPR each year, the organizers present Best Paper, Best Student Paper and Best Paper Honorable Mention awards. These awards are picked by committees delegated by the program chairs of the conference.
Past Awardees
Best Paper
| 2023 | “Visual Programming: Compositional Visual Reasoning Without Training” | T. Gupta, A. Kembhavi |
| 2023 | “Planning-Oriented Autonomous Driving” | 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 |
| 2022 | “Learning to Solve Hard Minimal Problems” | P. Hruby, T. Duff, A. Leykin, T. Pajdla |
| 2021 | “GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields” | M. Niemeyer, A. Geiger |
| 2020 | “Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild” | S. Wu, C. Rupprecht, A. Vedaldi |
| 2019 | “A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction” | S. Xin, S. Nousias, K. Kutulakos, A. Sankaranarayanan, S. G. Narasimhan, I. Gkioulekas |
| 2018 | “Taskonomy: Disentangling Task Transfer Learning” | A. R. Zamir, A. Sax, W. Shen, L. J. Guibas, J. Malik, S. Savarese |
| 2017 | “Densely Connected Convolutional Networks” | G. Huang, Z. Liu, L. van der Maaten, K. Q. Weinberger |
| 2017 | “Learning from Simulated and Unsupervised Images through Adversarial Training” | A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, R. Webb |
| 2016 | “Deep Residual Learning for Image Recognition” | 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 |
Best Student Paper
| 2023 | “3D Registration With Maximal Cliques” | X. Zhang, J. Yang, S. Zhang, Y. Zhang |
| 2022 | “EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation” | H. Chen, P. Wang, F. Wang, W. Tian, L. Xiong, H. Li |
| 2021 | “Task Programming: Learning Data Efficient Behavior Representations” | J. J. Sun, A. Kennedy, E. Zhan, D. J. Anderson, Y. Yue, P. Perona |
| 2020 | “BSP-Net: Generating Compact Meshes via Binary Space Partitioning” | Z. Chen, A. Tagliasacchi, H. Zhang |
| 2019 | “Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation” | 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” | H. Joo, T. Simon, Y. Sheikh |
| 2017 | “Computational Imaging on the Electric Grid” | 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 |
Best Paper Honorable Mention
| 2023 | “DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation” | N. Ruiz, Y. Li, V. Jampani, Y. Pritch, M. Rubinstein, K. Aberman |
| 2023 | “DynIBaR: Neural Dynamic Image-Based Rendering” | Z. Li, Q. Wang, F. Cole, R. Tucker, N. Snavely |
| 2022 | “Dual-Shutter Optical Vibration Sensing” | M. Sheinin, D. Chan, M. O’Toole, S. Narasimhan |
| 2022 | “Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields” | D. Verbin, P. Hedman, B. Mildenhall, T. Zickler, J. Barron, P. Srinivasan |
| 2021 | “Exploring Simple Siamese Representation Learning” | X. Chen, K. He |
| 2021 | “Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos” | Y. Jafarian, H. S. Park |
| 2021 | “Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling” | J. Lei, L. Li, L. Zhou, Z. Gan, T. L. Berg, M. Bansal, J. Liu |
| 2021 | “Binary TTC: A Temporal Geofence for Autonomous Navigation” | A. Badki, O. Gallo, J. Kautz, P. Sen |
| 2021 | “Real-Time High-Resolution Background Matting” | S. Lin, A. Ryabtsev, S. Sengupta, B. Curless, S. Seitz, I. Kemelmacher-Shlizerman |
| 2020 | “DeepCap: Monocular Human Performance Capture Using Weak Supervision” | M. Habermann, W. Xu, M. Zollhöfer, G. Pons-Moll, Christian Theobalt |
| 2019 | “A Style-Based Generator Architecture for Generative Adversarial Networks” | T. Karras, S. Laine and T. Aila |
| 2019 | “Learning the Depths of Moving People by Watching Frozen People” | Z. Li, T. Dekel, F. Cole, R. Tucker, C. Liu, B. Freeman and N. Snavely |
| 2018 | “Deep Learning of Graph Matching” | A. Zanfir and C. Sminchisescu. |
| 2018 | “SPLATNet: Sparse Lattice Networks for Point Cloud Processing” | H. Su, V. Jampani, D. Sun, S. Maji, E. Kalogerakis, M.-H. Yang, and J. Kautz |
| 2018 | “CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM” | M. Bloesch, J. Czarnowski, R. Clark, S. Leutenegger, and A. J. Davison |
| 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 |