Computer Vision Awards

The computer vision community gives out a variety of awards at major vision meetings. These awards are explained below, with a complete listing of winners for each following.

Longuet-Higgins Prize
Koenderink Prize
Helmholtz Prize
CVPR Best Paper Award
CVPR Best Student Paper Award
CVPR Best Paper Honorable Mention Award
ICCV Best Paper Award (Marr Prize)
ICCV Best Student Paper Award
ICCV Best Paper Honorable Mention Award
ECCV Best Paper Award
ECCV Best Paper Honorable Mention Award
PAMI Young Researcher Award
PAMI Mark Everingham Prize
PAMI Azriel Rosenfeld Lifetime Achievement Award
PAMI Distinguished Researcher Award
PAMI Appreciation Award

Note: the authoritative source for the PAMI (IEEE-CS) awards is at

Longuet-Higgins Prize

The Longuet-Higgins Prize recognizes CVPR papers from ten years ago that have made a significant impact on computer vision research.

More information about this prize can be found here

2020 “Secrets of Optical Flow Estimation and Their Principles” D. Sun, S. Roth, M. Black
2019 “ImageNet: A large-scale hierarchical image database” J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, L. Fei-Fei
2018 “A Discriminatively Trained, Multiscale, Deformable Part Model” P. Felzenszwalb, D. McAllester, and D. Ramanan
2017 “Accurate, Dense, and Robust Multi-View Stereopsis” Y. Furukawa, J. Ponce
2017 “Object Retrieval with Large Vocabularies and Fast Spatial Matching” J. Philbin, O. Chum, M. Isard, J. Sivic, A. Zisserman
2016 “Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories” S. Lazebnik, C. Schmid, J. Ponce
2016 “Scalable Recognition with a Vocabulary Tree” D. Nister and H. Stewenius
2015 “Histograms of oriented gradients for human detection” N. Dalal, B. Triggs
2015 “A non-local algorithm for image denoising” A. Buades, B. Coll, J.-M. Morel
2014 “A performance evaluation of local descriptors” K. Mikolajczyk, C. Schmid
2013 “Object Class Recognition by Unsupervised Scale-Invariant Learning” R. Fergus, P. Perona, A. Zisserman
2011 “Rapid Object Detection using a Boosted Cascade of Simple Features” P. A. Viola, M. J. Jones
2010 “Efficient Matching of Pictorial Structures” P. F. Felzenszwalb, D. P. Huttenlocher
2010 “Real-Time Tracking of Non-Rigid Objects Using Mean Shift” D. Comaniciu, V. Ramesh, P. Meer
2009 “Statistics of Natural Images and Models” J. Huang, D. Mumford
2009 “Adaptive Background Mixture Models for Real-Time Tracking” C. Stauffer, W. E. L. Grimson
2008 “Probabilistic modeling of local appearance and spatial relationships for object recognition” H. Schneiderman and T. Kanade
2008 “Tracking people with twists and exponential maps” C. Bregler and J. Malik
2007 “Normalized Cuts and Image Segmentation” J. Shi, J. Malik
2007 “Training Support Vector Machines: An Application to Face Detection” E. Osuna, R. Freund, F. Girosi
2006 “Neural Network-Based Face Detection” H. Rowley, S. Baluja, T. Kanade
2006 “Combining greyvalue invariants with local constraints for object recognition” C. Schmid, R. Mohr
2005 “Boundary detection by minimizing functionals” D. Mumford, J. Shah
2005 “Layered representation for motion analysis” T. Adelson, J. Wang

Koenderink Prize

The Koenderink Prize recognises fundamental contributions in computer vision. It is awarded each year at the European Conference on Computer Vision (one of the most prestigious conferences in the field) for a paper published ten years ago at that conference which has withstood the test of time.

2020 “Improving the Fisher Kernel for Large-Scale Image Classification” F. Perronnin, J. Sánchez, T. Mensink
2020 “Brief: Binary Robust Independent Elementary Features” M. Calonder, V. Lepetit, C. Strecha, P. Fua
2018 “Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search” H. Jegou, M. Douze, and C. Schmid
2018 “Semi-supervised On-Line Boosting for Robust Tracking” H. Grabner, C. Leistner, and H. Bischof
2016 “Surf: Speeded up robust features” H. Bay, T. Tuytelaars, L. Van Gool
2016 “Machine learning for high-speed corner detection” E. Rosten, T. Drummond
2014 “Face Recognition with Local Binary Patterns” T. Ahonen, A. Hadid, M. Pietikainen
2014 “High Accuracy Optical Flow Estimation Based on a Theory for Warping”  
2012 “What Energy Functions Can Be Minimized via Graph Cuts?” V. Kolmogorov, R. Zabih
2010 “Stochastic Tracking of 3D Human Figures Using 2D Image Motion” H. Sidenbladh, M. J. Black and D. J. Fleet
2010 “Unsupervised Learning of Models for Recognition” M. Weber, M. Welling and P. Perona
2008 “Contour Tracking by Stochastic Propagation of Conditional Density” M. Isard, A. Blake
2008 “Camera self-calibration: theory and experiments” O. Faugeras, Q.-T. Luong, S. Maybank

Helmholtz Prize

The ICCV Helmholtz Prize, known as the Test of Time Award before 2013, is awarded every other year at the ICCV, recognizing ICCV papers from ten or more years earlier that had a significant impact on computer vision research. Winners are selected by the IEEE Computer Society’s Technical Committee on Pattern Analysis and Machine Intelligence. The award is named after the 19th century physician and physicist Hermann von Helmholtz, and the ICCV’s award is not related to the various Helmholtz Prizes in physics, or the Hermann von Helmholtz Prize in neuroscience.

More information about this prize can be found here.

2019 “Building Rome in a Day” S. Agarwal, N. Snavely, I. Simon, S. M. Seitz, R. Szeliski
2019 “Attribute and Simile Classifiers for Face Verification” N. Kumar, A. C. Berg, P. N. Belhumeur, S. K. Nayar
2017 “Space-time interest points” I. Laptev and T. Lindeberg
2017 “Recognizing action at a distance” A. Efros, A. Berg, G. Mori, J. Malik
2017 “Video Google: A text retrieval approach to object matching in videos” J. Sivic and A. Zisserman
2017 “Recognising panoramas” M. Brown and D. Lowe
2017 “Discovering objects and their location in images” J. Sivic, B. Russell, A. Efros, A. Zisserman, and W. Freeman
2017 “The pyramid match kernel: Discriminative classification with sets of image features” K. Grauman and T. Darrell
2017 “Actions as space-time shapes” M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri
2015 “A Database of Human Segmented Natural Images and Its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics” D. Martin, C. Fowlkes, D. Tal, J. Malik
2015 “Matching Shapes” S. Belongie, J. Malik, J. Puzicha
2013 “Snakes: Active Contour Models” M. Kass, A. Witkin, D. Terzopoulos
2013 “Indexing via color histograms” M. J. Swain, D. H. Ballard
2013 “Steerable filters for early vision, image analysis, and wavelet decomposition” B. Freeman, T. Adelson
2013 “A framework for the robust estimation of optical flow” M. Black and P. Anandan
2013 “Alignment by Maximization of Mutual Information” P. Viola, W. M. Wells III
2013 “In Defence of the 8-Point Algorithm” R. Hartley
2013 “Bilateral Filtering for Gray and Color Images” C. Tomasi, R. Manduchi
2013 “A Metric for Distributions with Applications to Image Databases” Y. Rubner, C. Tomasi, L. J. Guibas
2013 “Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation” S. C. Zhu, T. S. Lee, A. Yuille
2013 “Flexible Camera Calibration by Viewing a Plane from Unknown Orientations” Z. Zhang
2013 “Texture Synthesis by Non-parametric Sampling” A. Efros, T. K. Leung
2011 “Object Recognition from Local Scale-Invariant Features” D. Lowe
2011 “Fast Approximate Energy Minimization via Graph Cuts” Y. Boykov, O. Veksler, R. Zabih
2011 “Geodesic Active Contours” V. Caselles, R. Kimmel, G. Sapiro
2009 “Geometric Hashing: A General and Efficient Model-Based Recognition Scheme” Y. Lamdan, H. J. Wolfson

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.

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. E. 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.

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

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.

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

ICCV Best Paper Award (Marr Prize)

The ICCV best paper award is the Marr Prize, named after British neuroscientist David Marr. The award is picked by a committee delegated by the program chairs of the conference.

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 Award

The ICCV 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.

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.

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.

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

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.

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
1998 “What Shadows Reveal about Object Structure” D. Kriegman, P. Belhumeur

PAMI Young Researcher Award

The Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award is an award given by the Technical Committee on Pattern Analysis and Machine Intelligence (TCPAMI) of the IEEE Computer Society to a researcher within 7 years of completing their Ph.D. for outstanding early career research contributions. Candidates are nominated by the computer vision community, with winners selected by a committee of senior researchers in the field. This award was originally instituted in 2012 by the journal Image and Vision Computing, also presented at the CVPR, and the IVC continues to sponsor the award.

More information about this award can be found here.

2020 Jon Barron
2020 Deqing Sun
2019 Karen Simonyan
2018 Andreas Geiger
2018 Kaiming He
2017 Ross Girshick
2017 Julien Mairal
2016 Ce Liu
2016 Abhinav Gupta
2015 John Wright
2014 Derek Hoiem
2014 Jamie Shotton
2013 Anat Levin
2013 Kristen Grauman
2012 Deva Ramanan

PAMI Mark Everingham Prize

This Prize is to commemorate Mark Everingham and to encourage others to follow in his footsteps by acting to further progress in the computer vision community as a whole. An appreciation of Mark Everingham’s contributions is at The prize shall be given to a researcher, or a team of researchers, who have made a selfless contribution of significant benefit to other members of the computer vision community. The award is given out by the IEEE Pattern Analysis and Machine Intelligence (PAMI) Technical Committee. Candidates are nominated by the community in a window preceding ECCV or ICCV determined by the TCPAMI chair. Winners are decided by a committee appointed by the TCPAMI Awards Committee. The Prize is awarded annually at a major computer vision conference. In even numbered years it is awarded at the European Conference on Computer Vision (ECCV), and in odd numbered years it is awarded at the International Conference on Computer Vision (ICCV).

More information on this award can be found here.

2020 COLMAP SFM and MVS Software Library “For developing and maintaining the COLMAP SFM and MVS software library.” J. Schönberger
2020 Antonio Torralba “For the developing and maintaining multiple datasets in the field of computer vision.” A. Torralba
2019 Labeled Faces in the Wild (LFW) “For generating and maintaining the LFW dataset and benchmark, starting from 2007. LFW has helped drive the field towards more uncontrolled and real-world face recognition.” E. Learned-Miller, G. B. Huang, T. Berg and Team
2019 Gerard Medioni “For extensive and sustained contributions to CVPR & ICCV conference organization over several decades, and multiple other services to the community. He also introduced the unifying passport registration system for conferences and workshops, and was a co-founder of the Computer Vision Foundation.” G. Medioni
2018 TRECVid Video Retrieval Evaluation 2003-18 (datasets and workshops) “For a series of datasets and workshops since 2003 that have driven progress in large scale Video Retrieval.” A. Smeaton, W. Kraaij, P. Over, G. Awad
2018 VisualSFM software library “For providing a well documented software library for Structure from Motion that has been used effortlessly by so many.” C. Wu
2017 Caffe “For providing an open-source deep learning framework that enabled the community to use, train and share deep convolutional neural networks. Caffe has had a huge impact, both academic and commercial” Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell
2017 Int. Computer Vision Summer School (ICVSS) 2008-17 “For a series of annual computer vision Summer schools that have brought such benefit to the students attending them, both educationally and socially” S. Battiato, R. Cipolla, and G. Farinella
2016 Ramin Zabih “For extensive, generous, service to the community: As long-term head of the IEEE PAMI Technical Committee he introduced many reforms, including to the awards process and the relationship to the IEEE. And he has been the driving force in creating and running the Computer Vision Foundation (CVF)” R. Zabih
2016 ImageNet “For a series of datasets and challenges since 2010 that have had such impact on the computer vision field. ImageNet built on the Caltech101/256 datasets, increasing the number of images by orders of magnitude and enabling the development of new algorithms” A. Berg, J. Deng, F.-F. Li, O. Russakovsky and team
2015 VLFeat Software “For providing a well documented library of open source software for image understanding and matching that has been effective in the development of new algorithms and applications” A. Vedaldi
2015 Middlebury Dataset “For a series of datasets and on-line evaluations starting with Stereo datasets in the 2001 and extending to Optic flow, MRF and others, that have inspired many other datasets” D. Scharstein, R. Szeliski
2014 Terry and Ginger Boult “For extensive, generous, long-term service to the community in the management of computer vision conferences and workshops.” G. Boult, T. Boult
2013 FERET and FRVT face datasets and challenges “For a series of datasets and challenges starting with FERET in the 1990s and extending to FRVT 2000-2016” P. Jonathon Phillips
2013 OpenCV “For providing a huge wealth of open source software that has been of such benefit both inside and outside the computer vision field” G. Bradski and team

PAMI Azriel Rosenfeld Lifetime Achievement Award

The Azriel Rosenfeld Award, or Azriel Rosenfeld Lifetime Achievement Award was established at ICCV 2007 in Rio de Janeiro to honor outstanding researchers who are recognized as making significant contributions to the field of Computer Vision over longtime careers. This award is in memory of the late computer scientist and mathematician Prof. Azriel Rosenfeld. Candidates are nominated by the community in a window preceding ICCV determined by the TCPAMI chair. Winners are decided by a committee appointed by the TCPAMI Awards Committee.

More information about this award can be found here

2019 Shimon Ullman
2017 Tomaso Poggio
2015 Olivier Faugeras
2013 Jan Koenderink
2011 Thomas Huang
2009 Berthold K.P. Horn
2007 Takeo Kanade

PAMI Distinguished Researcher Award

This award (until 2013 called Significant Researcher Award) is awarded to candidates whose research contributions have significantly contributed to the progress of Computer Vision. Awards are made based on major research contributions, as well as the role of those contributions in influencing and inspiring other research. Candidates are nominated by the community in a window preceding ICCV determined by the TCPAMI chair. Winners are decided by a committee appointed by the TCPAMI Awards Committee.

More information about this award can be found here.

2019 Shree Nayar
2019 William T. Freeman
2017 Luc van Gool
2017 Richard Szeliski
2015 Yann LeCun
2015 David Lowe
2013 Jitendra Malik
2013 Andrew Zisserman
2011 Richard Hartley
2011 Katsushi Ikeuchi
2009 Andrew Blake
2007 Demetri Terzopoulos

PAMI Appreciation Award

The PAMI Appreciation award is given at the discretion of the IEEE TCPAMI Chair to individuals who have gone above and beyond the call of duty to serve the computer vision community.

2018 Eric Mortensen