ECCV Paper Awards
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.
Past Awardees
Best Paper
| 2024 | “Minimalist Vision with Freeform Pixels” | J. Klotz, S. Nayar |
| 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.
| 2024 | “Rasterized Edge Gradients: Handling Discontinuities Differentially” | S. Pidhorskyi, T. Simon, G. Schwartz, H. Wen, Y. Sheikh, J. Saragih |
| 2024 | “Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models” | V. Petsiuk, K. Saenko |
| 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 |