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 |
Google |
| 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)
