标签：pp ICCV 21 vol 30 PER CVPR Citations 视觉
原文链接：http://www.cnblogs.com/youth0826/archive/2012/12/07/2807623.html 21世纪初最有影响力的30篇计算机视觉会议论文选取论文的原则：
（1）会议论文，主要来源于以下会议：CVPR, ICCV, ECCV, BMVC, FG, ICIP, ICPR, WACV, ICASSP, MM, IJCAI, UAI, AAAI…（其实后面的几个会议都是打酱油的，AI类的期刊也木有高引CV文章，事实也是如此，没有收录ICML和NIPS等，见谅）
（2）发表在2000年以后，数据来源于微软学术搜索(http://academic.research.microsoft.com/)，2012年12月初的检索结果
（3）检索次数大于200，PER>50，微软学术搜索的被检索次数未必精确，但能反应大概趋势，PER指意味着每年检索量，自发表次年算到2012年，PER=Cited/(2012-YEAR)
榜单Top 30如下，欢迎拾遗补缺：
[1] Rapid Object Detection using a Boosted Cascade of Simple Features (Citations: 3296, PER=299.64)
Paul A. Viola, Michael J. Jones @CVPR , vol. 1, pp. 511-518, 2001
[2] Histograms of Oriented Gradients for Human Detection (Citations: 1704, PER=243.43)
Navneet Dalal, Bill Triggs @CVPR , vol. 1, pp. 886-893, 2005
[3] SURF: Speeded-Up Robust Features (Citations: 1054, PER=175.67)
Herbert Bay, Tinne Tuytelaars, Luc J. Van Gool @ECCV , pp. 404-417, 2006
[4] Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories (Citations: 873, PER=145.5)
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce @CVPR , vol. 2, pp. 2169-2178, 2006
[5] Object Class Recognition by Unsupervised Scale-Invariant Learning (Citations: 1071, PER=119)
Robert Fergus, Pietro Perona, Andrew Zisserman @CVPR , vol. 2, pp. 264-271, 2003
[6] Robust Real-Time Face Detection (Citations: 1092, PER=99.27)
Paul A. Viola, Michael J. Jones @ ICCV , 2001
[7] A Bayesian hierarchical model for learning natural scene categories (Citations: 677, PER=96.71)
Fei-Fei Li, Pietro Perona @CVPR , vol. 2, pp. 524-531, 2005
[8] Scalable Recognition with a Vocabulary Tree (Citations: 570, PER=95)
David Nistér, Henrik Stewénius @CVPR , vol. 2, pp. 2161-2168, 2006
[9] Real-Time Tracking of Non-Rigid Objects Using Mean Shift (Citations: 1132, PER=94.33)
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer @CVPR , vol. 2, pp. 2142-149 vol.2, 2000
[10]Visual Categorization with Bags of Keypoints (Citations: 745, PER=93.13)
Gabriella Csurka, Christopher R. Dance, Lixin Fan, etc @ECCV , 2004
[11]Video Google: A Text Retrieval Approach to Object Matching in Videos (Citations: 790, PER=87.78)
Josef Sivic, Andrew Zisserman @ ICCV , pp. 1470-1477, 2003
[12]What Energy Functions Can Be Minimized via Graph Cuts? (Citations: 842, PER=84.2)
Vladimir Kolmogorov, Ramin Zabih @ECCV , pp. 65-81, 2002
[13]Overview of the Face Recognition Grand Challenge (Citations: 578, PER=82.57)
P. Jonathon Phillips, Patrick J. Flynn, W. Todd Scruggs, etc @CVPR , vol. 1, pp. 947-954, 2005
[14]Robust wide baseline stereo from maximally stable extremal regions (Citations: 810, PER=81)
Jiri Matas, Ondrej Chum, Martin Urban, etc @BMVC , vol. 1, 2002
[15]PCA-SIFT: A More Distinctive Representation for Local Image Descriptors (Citations: 639, PER=79.88)
Yan Ke, Rahul Sukthankar @CVPR , vol. 2, pp. 506-513, 2004
[16]Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in ND Images (Citations: 796, PER=72.36)
Yuri Y. Boykov, Marie-pierre Jolly @ ICCV , pp. 105-112, 2001
[17]An extended set of Haar-like features for rapid object detection (Citations: 710, PER=71)
Rainer Lienhart, Jochen Maydt @ICIP , vol. 1, pp. 900-903, 2002
[18]A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics (Citations: 750, PER=68.18)
David R. Martin, Charless Fowlkes, Doron Tal, etc @ ICCV , pp. 416-425, 2001
[19]Detecting Pedestrians Using Patterns of Motion and Appearance (Citations: 584, PER=64.89)
Paul A. Viola, Michael J. Jones, Daniel Snow @ ICCV , pp. 734-741, 2003
[20]Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary (Citations: 603, PER=60.3)
Pinar Duygulu, Kobus Barnard, João F. G. De Freitas, etc @ECCV , pp. 97-112, 2002
[21]Real-Time Simultaneous Localisation and Mapping with a Single Camera (Citations: 527, PER=58.56)
Andrew J. Davison @ ICCV , pp. 1403-1410, 2003
[22]Recognizing Human Actions: A Local SVM Approach (Citations: 440, PER=55)
Christian Schüldt, Ivan Laptev, Barbara Caputo @ICPR , pp. 32-36, 2004
[23]Actions as Space-Time Shapes (Citations: 379, PER=54.14)
Moshe Blank, Lena Gorelick, Eli Shechtman, etc @ ICCV , vol. 2, pp. 1395-1402, 2005
[24]A Discriminatively Trained, Multiscale, Deformable Part Model (Citations: 215, PER=53.75)
Pedro F. Felzenszwalb, David A. Mcallester, Deva Ramanan @CVPR , pp. 1-8, 2008
[25]Non-parametric Model for Background Subtraction (Citations: 642, PER=53.5)
Ahmed M. Elgammal, David Harwood, Larry S. Davis @ECCV , pp. 751-767, 2000
[26]A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms (Citations: 318, PER=53)
Steven M. Seitz, Brian Curless, James Diebel, etc @CVPR , vol. 1, pp. 519-528, 2006
[27]Comprehensive Database for Facial Expression Analysis (Citations: 636, PER=53)
Takeo Kanade, Yingli Tian, Jeffrey F. Cohn @FG , pp. 46-53, 2000
[28]Learning Realistic Human Actions from Movies (Citations: 211, PER=52.75)
Ivan Laptev, Marcin Marszalek, Cordelia Schmid, etc @CVPR , pp. 1-8, 2008
[29]Object Retrieval with Large Vocabularies and Fast Spatial Matching (Citations: 258, PER=51.6)
James Philbin, Ondrej Chum, Michael Isard, etc @CVPR , 2007
[30]Statistical Shape Influence in Geodesic Active Contours (Citations: 616, PER=51.33)
Michael E. Leventon, W. Eric L. Grimson, Olivier D. Faugeras @CVPR , vol. 1, pp. 1316-1323, 2000
简单小结：
总共30篇会议文章，其中CVPR 14篇，ECCV 5篇，ICCV 7篇，BMVC、FG、ICIP、ICPR各1篇。每年发表的论文数如图所示。
我个人比较关注3个方面，(1)检测Detection（比如基于Harr-like的Viola-Jones的3篇文章，[1][6][19]，还有[17]，基于HOG的[2]，以及在PASCAL VOC上大放光芒的DPM[24]）；(2)基于Bag of Words (Features)和LDA的图像检索Retrieval和类别学习Categorization（比如基于BoW的[10][11]，之后的[8][29]，以及非常流行的SPM[4]，基于LDA的[7]等）；(3)特征Features，比如说提到的Harr-like，SURF[3]，HOG[2]，MSER[14]，PCA-SIFT[15]等。
值得注意的是，排在前面的大部分作者，都是CV界的成名人物，非常值得关注他们的其他一些论文。
PS：[12]的作者Ramin Zabih从TPAMI的主编位置上退下，[20]的作者David Forsyth成为TPAMI新的掌舵者，大家有什么看法？
最后额外推荐几篇ML的方法，来自于ICML和NIPS。
[1] Reinforcement learning: An introduction (Citations: 5592)
Richard S. Sutton, Andrew G. Barto @NIPS , vol. 9, no. 5, pp. 1054-1054, 1998
[2] Experiments with a New Boosting Algorithm (Citations: 2489)
Yoav Freund, Robert E. Schapire @ICML , pp. 148-156, 1996
[3] Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (Citations: 2436)
John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira @ICML , pp. 282-289, 2001
[4] Latent Dirichlet Allocation (Citations: 1548)
David M. Blei, Andrew Y. Ng, Michael I. Jordan @NIPS , pp. 601-608, 2001
[5] On Spectral Clustering: Analysis and an algorithm (Citations: 1230)
Andrew Y. Ng, Michael I. Jordan, Yair Weiss @NIPS , pp. 849-856, 2001
[6] Algorithms for Nonnegative Matrix Factorization (Citations: 1162)
Daniel D. Lee, H. Sebastian Seung @NIPS , vol. 13, pp. 556-562, 2000
[7] Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions (Citations: 665)
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty @ICML , pp. 912-919, 2003
posted on 2012-12-07 17:02 Shicai Yang 阅读(...) 评论(...) 编辑 收藏转载于:https://www.cnblogs.com/youth0826/archive/2012/12/07/2807623.html
标签：pp,ICCV,21,vol,30,PER,CVPR,Citations,视觉 来源： https://blog.csdn.net/weixin_30364325/article/details/98950830
本站声明： 1. iCode9 技术分享网（下文简称本站）提供的所有内容，仅供技术学习、探讨和分享； 2. 关于本站的所有留言、评论、转载及引用，纯属内容发起人的个人观点，与本站观点和立场无关； 3. 关于本站的所有言论和文字，纯属内容发起人的个人观点，与本站观点和立场无关； 4. 本站文章均是网友提供，不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属；如您发现该文章侵犯了您的权益，可联系我们第一时间进行删除； 5. 本站为非盈利性的个人网站，所有内容不会用来进行牟利，也不会利用任何形式的广告来间接获益，纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。