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Awesome-CV-Best-Paper-List

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
2023 "Visual Programming: Compositional Visual Reasoning Without Training" T. Gupta, A. Kembhavi Code Stars Demo
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 Code Stars Slides
2022 “Learning to Solve Hard Minimal Problems” P. Hruby, T. Duff, A. Leykin, T. Pajdla Code Stars
2021 “GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields”" M. Niemeyer, A. Geiger CodeStars Demo
2020 “Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild” Demo S. Wu, C. Rupprecht, A. Vedaldi Code Stars Demo
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 Code Stars Demo
2018 “Taskonomy: Disentangling Task Transfer Learning” A. R. Zamir, A. Sax, W. Shen, L. J. Guibas, J. Malik, S. Savarese Code Stars Demo
2017 “Densely Connected Convolutional Networks” G. Huang, Z. Liu, L. van der Maaten, K. Q. Weinberger Code Stars
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

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
2023 “3D Registration With Maximal Cliques” X. Zhang, J. Yang, S. Zhang, Y. Zhang Code Stars
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 Code Stars
2021 “Task Programming: Learning Data Efficient Behavior Representations” J. J. Sun, A. Kennedy, E. Zhan, D. J. Anderson, Y. Yue, P. Perona Code Stars Demo
2020 “BSP-Net: Generating Compact Meshes via Binary Space Partitioning” Z. Chen, A. Tagliasacchi, H. Zhang Code Stars Demo
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 Code Stars Demo
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

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
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 Code Stars Demo
2023 “DynIBaR: Neural Dynamic Image-Based Rendering” Z. Li, Q. Wang, F. Cole, R. Tucker, N. Snavely Code Stars Demo
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 Code Stars Demo
2021 “Exploring Simple Siamese Representation Learning” X. Chen, K. He Code Stars
2021 “Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos” Y. Jafarian, H. S. Park Code Stars Demo
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 Code Stars
2021 “Binary TTC: A Temporal Geofence for Autonomous Navigation” A. Badki, O. Gallo, J. Kautz, P. Sen Code Stars
2021 “Real-Time High-Resolution Background Matting” S. Lin, A. Ryabtsev, S. Sengupta, B. Curless, S. Seitz, I. Kemelmacher-Shlizerman Code Stars Demo
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 Code Stars
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 Code Stars Demo
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 Code Stars
2018 “CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM” M. Bloesch, J. Czarnowski, R. Clark, S. Leutenegger, and A. J. Davison Code Stars
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

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