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CVPR历年Best Papers
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作者:我爱机器学习
原文链接:CVPR历年Best Papers
| CVPR (Computer Vision)(2000-2016) | |||
| 年份 | 标题 | 一作 | 一作单位 |
| 2016 | Deep Residual Learning for Image Recognition | Kaiming He | Microsoft Research |
| 2015 | DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-Time | Richard A. Newcombe | University of Washington |
| 2014 | What Camera Motion Reveals About Shape with Unknown BRDF | Manmohan Chandraker | NEC Labs America |
| 2013 | Fast, Accurate Detection of 100,000 Object Classes on a Single Machine | Thomas Dean | |
| 2012 | A Simple Prior-free Method for Non-Rigid Structure-from-Motion Factorization | Yuchao Dai | Northwestern Polytechnical University |
| 2011 | Real-time Human Pose Recognition in Parts from Single Depth Images | Jamie Shotton | Microsoft Research |
| 2010 | Efficient Computation of Robust Low-Rank Matrix Approximations in the Presence of Missing Data usi… | Anders Eriksson | University of Adelaide |
| 2009 | Single Image Haze Removal Using Dark Channel Prior | Kaiming He | The Chinese University of Hong Kong |
| 2008 | Global Stereo Reconstruction under Second Order Smoothness Priors | Oliver Woodford | University of Oxford |
| Beyond Sliding Windows: Object Localization by Efficient Subwindow Search | Chistoph H. Lampert | Max Planck Institut | |
| 2007 | Dynamic 3D Scene Analysis from a Moving Vehicle | Bastian Leibe | ETH Zurich |
| 2006 | Putting Objects in Perspective | Derek Hoiem | Carnegie Mellon University |
| 2005 | Real-Time Non-Rigid Surface Detection | Julien Pilet | École Polytechnique Fédérale de Lausanne |
| 2004 | Programmable Imaging using a Digital Micromirror Array | Shree K. Nayar | Columbia University |
| 2003 | Object Class Recognition by Unsupervised Scale-Invariant Learning | Rob Fergus | University of Oxford |
| 2001 | Morphable 3D models from video | Matthew Brand | Mitsubishi Electric Research Laboratories |
| 2000 | Real-Time Tracking of Non-Rigid Objects using Mean Shift | Dorin Comaniciu | Siemens Corporate Research |
参考文献:Best Paper Awards in Computer Science (since 1996)








