Best of Best系列(1)——CVPR

CVPR (Computer Vision)(Average MAPscore: 0.19)

CVPR (Computer Vision) 2012

(MAPscore: 0.0 )
TOP
  • Rank
    1
    Cited by
    25

    Are we ready for autonomous driving? The KITTI vision benchmark suite

    Andreas Geiger,Philip Lenz,Raquel Urtasun

  • Rank
    2
    Cited by
    18

    Action bank: A high-level representation of activity in video

    Sreemanananth Sadanand,Jason J. Corso

  • Rank
    3
    Cited by
    14

    Beyond spatial pyramids: Receptive field learning for pooled image features

    Yangqing Jia,Chang Huang,Trevor Darrell

  • BEST PAPER!
    Rank
    N/A
    Cited by
    N/A

    A simple prior-free method for non-rigid structure-from-motion factorization

    Yuchao Dai,Hongdong Li,Mingyi He

CVPR (Computer Vision) 2011

(MAPscore: 1.0 )
TOP
  • BEST PAPER!
    Rank
    1
    Cited by
    462

    Real-time human pose recognition in parts from single depth images

    Jamie Shotton,Andrew W. Fitzgibbon,Mat Cook,Toby Sharp,Mark Finocchio,Richard Moore,Alex Kipman,Andrew Blake

  • Rank
    2
    Cited by
    111

    Global contrast based salient region detection

    Ming-Ming Cheng,Guo-Xin Zhang,Niloy J. Mitra,Xiaolei Huang,Shi-Min Hu

  • Rank
    3
    Cited by
    86

    Action recognition by dense trajectories

    Heng Wang,Alexander Kläser,Cordelia Schmid,Cheng-Lin Liu

CVPR (Computer Vision) 2010

(MAPscore: 0.0 )
TOP
  • Rank
    1
    Cited by
    289

    Locality-constrained Linear Coding for image classification

    Jinjun Wang,Jianchao Yang,Kai Yu,Fengjun Lv,Thomas S. Huang,Yihong Gong

  • Rank
    2
    Cited by
    170

    Learning mid-level features for recognition

    Y-Lan Boureau,Francis Bach,Yann LeCun,Jean Ponce

  • Rank
    3
    Cited by
    166

    Secrets of optical flow estimation and their principles

    Deqing Sun,Stefan Roth,Michael J. Black

  • BEST PAPER!
    Rank
    104
    Cited by
    27

    Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm

    Anders Eriksson,Anton van den Hengel

CVPR (Computer Vision) 2009

(MAPscore: 0.0 )
TOP
  • Rank
    1
    Cited by
    463

    ImageNet: A large-scale hierarchical image database

    Jia Deng,Wei Dong,Richard Socher,Li-Jia Li,Kai Li,Fei-Fei Li

  • Rank
    2
    Cited by
    451

    Linear spatial pyramid matching using sparse coding for image classification

    Jianchao Yang,Kai Yu,Yihong Gong,Thomas S. Huang

  • Rank
    3
    Cited by
    242

    Visual tracking with online Multiple Instance Learning

    Boris Babenko,Ming-Hsuan Yang,Serge J. Belongie

  • BEST PAPER!
    Rank
    4
    Cited by
    241

    Single image haze removal using dark channel prior

    Kaiming He,Jian Sun,Xiaoou Tang

CVPR (Computer Vision) 2008

(MAPscore: 0.0 )
TOP
  • Rank
    1
    Cited by
    701

    Learning realistic human actions from movies

    Ivan Laptev,Marcin Marszalek,Cordelia Schmid,Benjamin Rozenfeld

  • Rank
    2
    Cited by
    607

    Evaluation of color descriptors for object and scene recognition

    Koen E. A. van de Sande,Theo Gevers,Cees G. M. Snoek

  • Rank
    3
    Cited by
    595

    A discriminatively trained, multiscale, deformable part model

    Pedro F. Felzenszwalb,David A. McAllester,Deva Ramanan

  • BEST PAPER!
    Rank
    8
    Cited by
    294

    Beyond sliding windows: Object localization by efficient subwindow search

    Christoph H. Lampert,Matthew B. Blaschko,Thomas Hofmann

  • BEST PAPER!
    Rank
    27
    Cited by
    130

    Global stereo reconstruction under second order smoothness priors

    Oliver J. Woodford,Philip H. S. Torr,Ian D. Reid,Andrew W. Fitzgibbon

CVPR (Computer Vision) 2007

(MAPscore: 0.0 )
TOP
  • Rank
    1
    Cited by
    655

    Object retrieval with large vocabularies and fast spatial matching

    James Philbin,Ondrej Chum,Michael Isard,Josef Sivic,Andrew Zisserman

  • Rank
    2
    Cited by
    569

    Saliency Detection: A Spectral Residual Approach

    Xiaodi Hou,Liqing Zhang

  • Rank
    3
    Cited by
    511

    Accurate, Dense, and Robust Multi-View Stereopsis

    Yasutaka Furukawa,Jean Ponce

  • BEST PAPER!
    Rank
    16
    Cited by
    182

    Dynamic 3D Scene Analysis from a Moving Vehicle

    Bastian Leibe,Nico Cornelis,Kurt Cornelis,Luc J. Van Gool

CVPR (Computer Vision) 2006

(MAPscore: 0.0 )
TOP
  • Rank
    1
    Cited by
    2169

    Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

    Svetlana Lazebnik,Cordelia Schmid,Jean Ponce

  • Rank
    2
    Cited by
    1477

    Scalable Recognition with a Vocabulary Tree

    David Nistér,Henrik Stewénius

  • Rank
    3
    Cited by
    635

    Fast Human Detection Using a Cascade of Histograms of Oriented Gradients

    Qiang Zhu,Mei-Chen Yeh,Kwang-Ting Cheng,Shai Avidan

  • BEST PAPER!
    Rank
    6
    Cited by
    324

    Putting Objects in Perspective

    Derek Hoiem,Alexei A. Efros,Martial Hebert

CVPR (Computer Vision) 2005

(MAPscore: 0.0 )
TOP
  • Rank
    1
    Cited by
    4702

    Histograms of Oriented Gradients for Human Detection

    Navneet Dalal,Bill Triggs

  • Rank
    2
    Cited by
    1195

    Overview of the Face Recognition Grand Challenge

    P. Jonathon Phillips,Patrick J. Flynn,W. Todd Scruggs,Kevin W. Bowyer,Jin Chang,Kevin J. Hoffman,Joe Marques,Jaesik Min,William J. Worek

  • Rank
    3
    Cited by
    1007

    Level Set Evolution without Re-Initialization: A New Variational Formulation

    Chunming Li,Chenyang Xu,Changfeng Gui,Martin D. Fox

  • BEST PAPER!
    Rank
    43
    Cited by
    80

    Real-Time Non-Rigid Surface Detection

    Julien Pilet,Vincent Lepetit,Pascal Fua

CVPR (Computer Vision) 2004

(MAPscore: 0.0 )
TOP
  • Rank
    1
    Cited by
    943

    Efficient Belief Propagation for Early Vision

    Pedro F. Felzenszwalb,Daniel P. Huttenlocher

  • Rank
    2
    Cited by
    564

    Visual Odometry

    David Nistér,Oleg Naroditsky,James R. Bergen

  • Rank
    3
    Cited by
    364

    Super-Resolution through Neighbor Embedding

    Hong Chang,Dit-Yan Yeung,Yimin Xiong

  • BEST PAPER!
    Rank
    26
    Cited by
    81

    Programmable Imaging Using a Digital Micromirror Array

    Shree K. Nayar,Vlad Branzoi,Terrance E. Boult

CVPR (Computer Vision) 2003

(MAPscore: 0.28 )
TOP
  • Rank
    1
    Cited by
    3204

    A performance evaluation of local descriptors

    Krystian Mikolajczyk,Cordelia Schmid

  • BEST PAPER!
    Rank
    2
    Cited by
    1692

    Object Class Recognition by Unsupervised Scale-Invariant Learning

    Robert Fergus,Pietro Perona,Andrew Zisserman

  • Rank
    3
    Cited by
    634

    Simultaneous Structure and Texture Image Inpainting

    Marcelo Bertalmío,Luminita A. Vese,Guillermo Sapiro,Stanley Osher

CVPR (Computer Vision) 2001

(MAPscore: 0.0 )
TOP
  • Rank
    1
    Cited by
    549

    A Bayesian Approach to Digital Matting

    Yung-Yu Chuang,Brian Curless,David Salesin,Richard Szeliski

  • Rank
    2
    Cited by
    334

    Event-Based Analysis of Video

    Lihi Zelnik-Manor,Michal Irani

  • Rank
    3
    Cited by
    241

    Better Proposal Distributions: Object Tracking Using Unscented Particle Filter

    Yong Rui,Yunqiang Chen

  • BEST PAPER!
    Rank
    4
    Cited by
    214

    Morphable 3D models from video

    Matthew Brand

CVPR (Computer Vision) 2000

(MAPscore: 1.0 )
TOP
  • BEST PAPER!
    Rank
    1
    Cited by
    2341

    Real-Time Tracking of Non-Rigid Objects Using Mean Shift

    Dorin Comaniciu,Visvanathan Ramesh,Peter Meer

  • Rank
    2
    Cited by
    1165

    A Statistical Method for 3D Object Detection Applied to Faces and Cars

    Henry Schneiderman,Takeo Kanade

  • Rank
    3
    Cited by
    997

    Statistical Shape Influence in Geodesic Active Contours

    Michael E. Leventon,W. Eric L. Grimson,Olivier D. Faugeras

MAP (Mean Average Precision) is a measure to evaluate the ranking performance. The MAP score of a conference in a year is calculated by viewing best papers of the conference in the corresponding year as the ground truth and the top cited papers as the ranking results.

MAP(conference, year) = 1/3 \times \sum_{n=1,...,3} \frac{#best_paper_in_top_n_cited_papers}{n}

From:http://arnetminer.org

posted on 2013-04-09 16:10 Shicai Yang 阅读(...) 评论(...) 编辑 收藏

转载于:https://www.cnblogs.com/youth0826/archive/2013/04/09/3010289.html

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