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关于computer vision的会议及vision guys-机器学习与视觉大牛族谱深度挖掘

2018年02月21日 ⁄ 综合 ⁄ 共 25285字 ⁄ 字号 评论关闭

The genealogy relationship of the learning and vision guys(机器学习与视觉大牛族谱深度挖掘)

转自:http://blog.csdn.net/ustcmsraase/archive/2010/11/09/5996635.aspx

 

 

说明:根据多年前这篇文章扩充而来,

            http://knatolw.spaces.live.com/blog/cns!67C777C04482E125!314.entry

            包括Phd和Post-doc, co-supervise关系,故有可能有重复出现。

            欢迎转载,转载请注明原出处。

            欢迎补充和指正,请email: v-jwang@microsoft.com.

  

 

关于computer vision的会议及vision guys

注:我上次在转载Zhihua Zhou的帖子时候补充说明了cv的会议,现在扩展成一篇长文.

众所周知, computer vision(cv) 存在ICCV/CVPR/ECCV三个顶级会议, 它们档次差不多,

都应该在一流会议行列, 没有必要给个高下. 有些us的人认为ICCV/CVPR略好于ECCV,

而欧洲人大都认为ICCV/ECCV略好于CVPR, 某些英国的人甚至认为BMVC好于CVPR.

简言之, 三个会议差不多, 各有侧重和偏好.

笔者就个人经验浅谈三会异同, 以供大家参考和讨论. 三者乃cv领域的旗舰和风向标,

其oral paper (包括best paper) 代表当年度cv的最高水准, 在此引用Harry Shum的一句

话, 想知道某个领域在做些什么, 找最近几年此领域的proceeding看看就知道了. ICCV/CVPR

由IEEE Computer Society牵头组织, ECCV好像没有专门负责的组织. CVPR每年(除2002年)

都在美国开, ECCV每两年开一次,仅限欧洲, ICCV也是每两年一次, 各洲轮值. 基本可以保证

每年有两个会议开, 这样研究者就有两次跻身牛会的机会.

就录取率而言, 三会都有波动. 如ICCV2001录取率>30%, 且出现两个人(华人)各有三篇

第一作者的paper的情况, 这在顶级牛会是不常见的 (灌水嫌疑). 但是, ICCV2003, 2005

两次录取率都很低, 大约20%左右. ECCV也是类似规律, 在2004年以前都是>30%, 2006

年降低到20%左右. CVPR的录取率近年来一直偏高, 从2004年开始一直都在[25%,30%].

最近一次CVPR2006是28.1%, CVPR2007还不知道统计数据. 笔者猜测为了维持录取paper

的绝对数量, 当submission少的时候录取率偏高, 反之偏低, 近几年三大会议的投稿数量全部

超过1000, 相对2000年前, 三会录取率均大幅度降低, 最大幅度50%->20%. 对录取率走势

感兴趣的朋友, 可参考 http://vrlab.epfl.ch/~ulicny/statistics/ (CVPR2004的数据是错的),

http://www.adaptivebox.net/research/bookmark/CICON_stat.html .

显然, 投入cv的人越来越多,这个领域也是越来越大, 这点颇不似machine learning一直奉行

愚蠢的小圈子主义. 另外一点值得注意, ICCV/ECCV只收vision相关的topic, 而cvpr会收少量

的pattern recognition paper, 如fingerprint等, 但是不收和image/video完全不占边的pr paper,

如speech recognition等. 我一个朋友曾经review过一篇投往CVPR的speech的paper, 三个

reviewer一致拒绝, 其中一个reviewer搞笑的指出, 你这篇paper应该是投ICASSP被据而转投

CVPR的. 就topic而言, CVPR涵盖最广. 还有一个没有验证过的原因导致CVPR录取率高: 很多

us的researcher不愿意或没有足够的经费到us以外的地方开会, 故CVPR会优先接收很多来自

us的paper (让大家都happy).

以上对三会的分析对我们投paper是很有指导作用的. 目前的research我想绝大部分还是纸上

谈兵, 必经 read paper -> write paper -> publish paper -> publish paper on top conferences and journals

流程. 故了解投paper的一些基本技巧, 掌握领域的走向和热点, 是非常必要的. 避免做无用功,

选择切合的topic, 改善presentation, 注意格式 (遵守规定的模板), 我想这是很多新手需要注意

的问题. 如ICCV2007明文规定不写summary page直接reject, 但是仍然有人忽视, 这是相当不值得的.

paper毕竟是死的, 写paper的人才是活的. 那么我现在研究一下cv圈的格局, 按师承关系,

借鉴前人, 我总结a tree stucture of cv guys.

          

David Marr(MIT)

                   --------Shimon Ullman(Weizmann)

                                                             ---------Daniel Huttenlocher(Cornell)

                                                             ---------Demetri Terzopoulos(UCLA)

                                                                                                               --------Dimitris Metaxas(Rutgers)

                      -------Eric Grimson(MIT)

                                                       ------Pedro Felzenszwalb(Uchicago)

                                                       ------Polina Golland(MIT)

                                                        -----Xiaogang Wang(CUHK)

                                                        ---------Daniel Huttenlocher(Cornell)

 

Marvin Minsky(MIT,Turning Award)

                            -----Berthold Horn(MIT)

                                                             -----Tomas Lozano-Perez(MIT)

                                                                                                          -----John Canny(UC Berkeley)(Canny edge detector)

                                                                                                          -----Paul Viola(Microsoft)

 

Olivier Faugeras(Uparis XI)

                             -----Martial Hebert(CMU)

                           -------Derek Hoiem(UIUC)

                              -----Jean Ponce(UIUC)

                                                         ------Lazbnik(UNC)(Spatial Pyramid Matching)

                               -----Zhengyou Zhang(Microsoft)

 

Takeo Kanade(CMU)

                         ------Qifa Ke(Microsoft)

                       -------Shree Nayar(Columbia)

                                                        --------Srinivasa Narasimhan(CMU)

                                                         -------Simon Baker(Microsoft)

                        -------Richard Szeliski(Microsoft)

                        -------Carlo Tomasi(Duke)

                        -------James Rehg(GIT)

                                                       ------Jianxin Wu(NTU)

 

Whitman Richards(MIT)

                                -----Alex Pentland(MIT)

                                                                -----Trevor Darrell(UC Berkeley)

                                                                                                  ------Kristen Grauman(UTexas)(Pyramid Matching Kernel)

                              ------Joshua Tenenbaum(MIT)(Isomap)

                                                                         -----Tom Griffiths(UC Berkeley)

 

Andrew Blake(Microsoft)

                          -----Andrew Zisserman(Oxford)

                                                                  ------Andrew Fitzgibbon(Microsoft)

                                                                  ------Josef Sivic(INRIA)(Video Google)

                                                                 ------Rob Fergus(NYU)

                          ------Roberto Cipolla(Cambridge)

                          ------Alan Yuille(UCLA)

Thomas Huang(UIUC)

                            ------Yong Rui(Microsoft)

                            ------Ying Wu(Northwestern)

                            ------Qi Tian(UTSA)

                            ------ Chang Wen Chen (Buffalo)

                                                                  ------- Jiebo Luo (Kodak)

                           ------Nebojsa Jojic(Microsoft)

                           ------Vladimir Pavlovic(Rutgers)

                           ------Shuicheng Yan(NUS)

 

David Mumford(Brown, Fields Medal)

                          -----SongChun Zhu(UCLA)

Azriel Rosenfeld(Maryland)

                           ------Narendra Ahuja(UIUC)

                           ------Charles Dyer(Wisconsin)

                           ------Larry Davis(Maryland)

                           ------Shmuel Peleg(Hebrew)

Christopher Brown(Rochester)

                              -------Yiannis Aloimonos(Maryland)

                                                                       ------Robert Pless(WUSTL)

                                                                       ------LoongFah Cheong(NUS)                                            

 

 



Thomas Binfold(Stanford)

                             ----David Kriegman(UCSD)

                             ----David Lowe(UBC)(SIFT)

                             ----Jitendra Malik(UC Berkeley)

                                                            -------Pietro Perona(Caltech)

                                                                                                -------Fei-fei Li(Stanford)

                                                                                                 ------Rob Fergus(NYU)

                                                                                                 ------Stefano Soatto(UCLA)

                                                                                                  ------Max Welling(UCI)

                                                             ------Jianbo Shi(Upenn)(Ncut)

                                                             -------Yizhou Yu(UIUC)

                                                             -------Serge Belongie(UCSD)(Shape Context)

                                                             ------Alexei Efros(CMU)

                                                                                           -------Derek Hoiem(UIUC)

                                                               ------Alexander Berg(Stony brook)

                                                                ------Christoph Bregler(NYU)

 

Edward Adelson(MIT)

                             -----Willian Freeman(MIT)

                                                                 -----Ce Liu(Microsoft)

                                                                 ----- Rob Fergus(NYU)

                                                                  -----Yais Weiss(Hebrew)

                                                                                             -------Anat Levin(Weizmann)

                                                                    -----Kevin Murphy(UBC)

                                                                    ------Josef Sivic(INRIA)

                                                                    ------Antonio Torralba(MIT)(GIST)

                                                                    ------Eirk Sudderth(Brown)

 

Tomaso Poggio(MIT)(HMAX)

                           -----Zoubin Ghahramani(CMU,Cambridge)

                           -----[Partha Niyogi](UChicago)

                                                        ------Mikhail Belkin(OSU)(LE)

                                                        ------Xiaofei He(ZJU)(LPP)

                           ------Christof Koch(Caltech)

                           ------Tomas Serre(Brown)

 

Michael Jordan(UC Berkeley)

                            ------Zoubin Ghahramani(CMU,Cambridge)

                            ------Tommi Jaakkola(MIT)

                                                                  ------Martin Wainwright(UC Berkeley)

                                                                                                             -----Xuanlong Nguyen(UMich)

                              ------Andrew Ng(Stanford)

                                                           ------Honglak Lee(Umich)

                              ------Lawrence Saul(UCSD)

                                                                 ------Fei Sha(USC)

                               ------David Blei(Princeton)(LDA)

                               ------Eric Xing(CMU)

                               ------Ben Taskar(Upenn)

                                ------Yair Weiss(Hebrew)

                               -----Yee-Whye The(UCL)(HDP)

                               -----Erik Sudderth(Brown)

                               -----Yoshua Bengio(Umontreal)

                               -----Francis Bach(INRIA)

                               -----Kevin Murphy(UBC)

               

Daphne Koller(Stanford)

                           -----Nir Friedman(Hebrew)

                           -----Carlos Guestrin(CMU)

                           -----Ben Taskar(Upenn)(M3N)

        

Geoffrey Hinton(Toronto)

                              -----Yee-Whye The(UCL)

                              -----Yann Lecun(NYU)

                             ------Zoubin Ghahramani(CMU,Cambridge)

                             -----Max Welling(UCI)

                             -----[Sam Roweis](NYU)(LLE)

 

Tom Mitchell(CMU)

                       -----Oren Etzioni(UWashington)

                       -----Geoffrey Gordon(CMU)

                       -----Sebasitian Thrum(Stanford)

                       -----Andrew McCallum(Umass)

 

John Lafferty(CMU)(CRF)

                    -----Chengxiang Zhai(UIUC)

                                                        -----Qiaozhu Mei(Umich)

                   -----Xiaojin Zhu(Wisconsin)

                  -----David Blei(Princeton)

 

 

好像是小牛houxiaodi所写,知识面非常广,说明看的文献真不少,有潜力。


 

牛人主页(主页有很多论文代码)

Serge Belongie at UC San Diego
Alexei Ffros at CMU
Ce Liu at Microsoft Research New England
Vittorio Ferrari at Univ.of Edinburgh
Kristen Grauman at UT Austin
Devi Parikh at  TTI-Chicago (Marr Prize at ICCV2011)
John Wright at Columbia Univ.
Piotr Dollar at CalTech
Boris Babenko at UC San Diego
David Ross at Google/Youtube
David Donoho at Stanford Univ.
 
大神们:
Roberto Cipolla at Cambridge
David Lowe at Univ. of British Columbia
Mubarak Shah at Univ. of Central Florida
Yi Ma at MSRA
Tinne Tuytelaars at K.U. Leuven
Trevor Darrell at U.C. Berkeley
Michael J. Black at Brown Univ.



重要研究组:
Computer Vision Group at UC Berkeley
Robotics Research Group at Univ. of Oxford
LEAR at INRIA
Computer Vision Lab at Stanford
Computer Vision Lab at ETH Zurich
Computer Vision Lab at Seoul National Univ.
Computer Vision Lab at UC San Diego
Computer Vision Lab at UC Santa Cruz
Computer Vision Lab at Univ. of Southern California
Computer Vision Lab at Univ. of Central Florida
Computer Vision Lab at Columbia Univ.
Motion and Shape Computing Group at George Mason Univ.
Computer Vision Lab. at Vienna Univ. of Tech. 
Computational Image Analysis and Radiology at Medical Univ. of Vienna
Visual Perception Lab at Purdue Univ.


 
潜力牛人:
Juergen Gall at ETH Zurich
Matt Flagg at Georgia Tech.
Mathieu Salzmann at TTI-Chicago
Gerg Shakhnarovich at TTI-Chicago
Taeg Sang Cho at MIT
Jianchao Yang at UIUC
Stefan Roth at
TU Darmstadt
Peter Kontschieder at Graz Univ. of Tech.
Dominik Alexander Klein at Univ. of Bonn
Yinan Yu at CASIA (PASCAL VOC 2010 Detection Challenge Winner)
Zdenek Kalal at FPFL
Julien Pilet at FPFL
 
(1)googleResearch; http://research.google.com/index.html
(2)MIT博士,汤晓欧学生林达华; http://people.csail.mit.edu/dhlin/index.html
(3)MIT博士后Douglas Lanman; http://web.media.mit.edu/~dlanman/
(4)opencv中文网站; http://www.opencv.org.cn/index.php/首页
(5)Stanford大学vision实验室; http://vision.stanford.edu/research.html
(6)Stanford大学博士崔靖宇; http://www.stanford.edu/~jycui/
(7)UCLA教授朱松纯; http://www.stat.ucla.edu/~sczhu/
(8)中国人工智能网; http://www.chinaai.org/
(9)中国视觉网; http://www.china-vision.net/
(10)中科院自动化所; http://www.ia.cas.cn/
(11)中科院自动化所李子青研究员; http://www.cbsr.ia.ac.cn/users/szli/
(12)中科院计算所山世光研究员; http://www.jdl.ac.cn/user/sgshan/
(13)人脸识别主页; http://www.face-rec.org/
(14)加州大学伯克利分校CV小组;http://www.eecs.berkeley.edu/Research/Projects/CS/vision/

(15)南加州大学CV实验室; http://iris.usc.edu/USC-Computer-Vision.html
(16)卡内基梅隆大学CV主页;

http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html

(17)微软CV研究员Richard Szeliski;http://research.microsoft.com/en-us/um/people/szeliski/
(18)微软亚洲研究院计算机视觉研究组;http://research.microsoft.com/en-us/groups/vc/
(19)微软剑桥研究院ML与CV研究组;http://research.microsoft.com/en-us/groups/mlp/default.aspx

(20)研学论坛; http://bbs.matwav.com/
(21)美国Rutgers大学助理教授刘青山;http://www.research.rutgers.edu/~qsliu/
(22)计算机视觉最新资讯网; http://www.cvchina.info/
(23)运动检测、阴影、跟踪的测试视频下载;http://apps.hi.baidu.com/share/detail/18903287
(24)香港中文大学助理教授王晓刚;http://www.ee.cuhk.edu.hk/~xgwang/
(25)香港中文大学多媒体实验室(汤晓鸥);http://mmlab.ie.cuhk.edu.hk/
(26)U.C. San Diego. computer vision;http://vision.ucsd.edu/content/home
(27)CVonline; http://homepages.inf.ed.ac.uk/rbf/CVonline/
(28)computer vision software;http://peipa.essex.ac.uk/info/software.html
(29)Computer Vision Resource; http://www.cvpapers.com/
(30)computer vision research groups;http://peipa.essex.ac.uk/info/groups.html
(31)computer vision center;http://computervisioncentral.com/cvcnews

(32)浙江大学图像技术研究与应用(ITRA)团队:http://www.dvzju.com/

(33)自动识别网:http://www.autoid-china.com.cn/

(34)清华大学章毓晋教授:http://www.tsinghua.edu.cn/publish/ee/4157/2010/20101217173552339241557/20101217173552339241557_.html

(35)顶级民用机器人研究小组Porf.Gary领导的Willow Garage:http://www.willowgarage.com/

(36)上海交通大学图像处理与模式识别研究所:http://www.pami.sjtu.edu.cn/

(37)上海交通大学计算机视觉实验室刘允才教授:http://www.visionlab.sjtu.edu.cn/

(38)德克萨斯州大学奥斯汀分校助理教授Kristen Grauman :http://www.cs.utexas.edu/~grauman/

(39)清华大学电子工程系智能图文信息处理实验室(丁晓青教授):http://ocrserv.ee.tsinghua.edu.cn/auto/index.asp

(40)北京大学高文教授:http://www.jdl.ac.cn/htm-gaowen/

(41)清华大学艾海舟教授:http://media.cs.tsinghua.edu.cn/cn/aihz

(42)中科院生物识别与安全技术研究中心:http://www.cbsr.ia.ac.cn/china/index
CH.asp

(43)瑞士巴塞尔大学 Thomas Vetter教授:http://informatik.unibas.ch/personen/vetter_t.html

(44)俄勒冈州立大学
Rob Hess博士:http://blogs.oregonstate.edu/hess/

(45)深圳大学 于仕祺副教授:http://yushiqi.cn/

(46)西安交通大学人工智能与机器人研究所:http://www.aiar.xjtu.edu.cn/

(47)卡内基梅隆大学研究员Robert T. Collins:http://www.cs.cmu.edu/~rcollins/home.html#Background

(48)MIT博士Chris Stauffer:http://people.csail.mit.edu/stauffer/Home/index.php

(49)美国密歇根州立大学生物识别研究组(Anil K. Jain教授):http://www.cse.msu.edu/rgroups/biometrics/

(50)美国伊利诺伊州立大学Thomas S. Huang:http://www.beckman.illinois.edu/directory/t-huang1

(51)武汉大学数字摄影测量与计算机视觉研究中心:http://www.whudpcv.cn/index.asp

(52)瑞士巴塞尔大学Sami Romdhani助理研究员:http://informatik.unibas.ch/personen/romdhani_sami/

(53)CMU大学研究员Yang Wang:http://www.cs.cmu.edu/~wangy/home.html

(54)英国曼彻斯特大学Tim Cootes教授:http://personalpages.manchester.ac.uk/staff/timothy.f.cootes/

(55)美国罗彻斯特大学教授Jiebo Luo:http://www.cs.rochester.edu/u/jluo/

(56)美国普渡大学机器人视觉实验室:https://engineering.purdue.edu/RVL/Welcome.html

(57)美国宾利州立大学感知、运动与认识实验室:http://vision.cse.psu.edu/home/home.shtml

(58)美国宾夕法尼亚大学GRASP实验室:https://www.grasp.upenn.edu/

(59)美国内达华大学里诺校区CV实验室:http://www.cse.unr.edu/CVL/index.php

(60)美国密西根大学vision实验室:http://www.eecs.umich.edu/vision/index.html

(61)University of Massachusetts(麻省大学),视觉实验室:http://vis-www.cs.umass.edu/index.html

(62)华盛顿大学博士后Iva Kemelmacher:http://www.cs.washington.edu/homes/kemelmi

(63)以色列魏茨曼科技大学Ronen Basri:http://www.wisdom.weizmann.ac.il/~ronen/index.html

(64)瑞士ETH-Zurich大学CV实验室:http://www.vision.ee.ethz.ch/boostingTrackers/index.htm

(65)微软CV研究员张正友:http://research.microsoft.com/en-us/um/people/zhang/

(66)中科院自动化所医学影像研究室:http://www.3dmed.net/

(67)中科院田捷研究员:http://www.3dmed.net/tian/

(68)微软Redmond研究院研究员Simon Baker:http://research.microsoft.com/en-us/people/sbaker/

(69)普林斯顿大学教授李凯:http://www.cs.princeton.edu/~li/
(70)普林斯顿大学博士贾登:http://www.cs.princeton.edu/~jiadeng/
(71)牛津大学教授Andrew Zisserman:http://www.robots.ox.ac.uk/~az/
(72)英国leeds大学研究员Mark Everingham:http://www.comp.leeds.ac.uk/me/
(73)英国爱丁堡大学教授Chris William:http://homepages.inf.ed.ac.uk/ckiw/
(74)微软剑桥研究院研究员John Winn: http://johnwinn.org/
(75)佐治亚理工学院教授Monson H.Hayes:http://savannah.gatech.edu/people/mhayes/index.html
(76)微软亚洲研究院研究员孙剑:http://research.microsoft.com/en-us/people/jiansun/
(77)微软亚洲研究院研究员马毅:http://research.microsoft.com/en-us/people/mayi/
(78)英国哥伦比亚大学教授David Lowe:http://www.cs.ubc.ca/~lowe/
(79)英国爱丁堡大学教授Bob Fisher:http://homepages.inf.ed.ac.uk/rbf/
(80)加州大学圣地亚哥分校教授Serge J.Belongie:http://cseweb.ucsd.edu/~sjb/
(81)威斯康星大学教授Charles R.Dyer:http://pages.cs.wisc.edu/~dyer/
(82)多伦多大学教授Allan.Jepson:http://www.cs.toronto.edu/~jepson/
(83)伦斯勒理工学院教授Qiang Ji: http://www.ecse.rpi.edu/~qji/
(84)CMU研究员Daniel Huber: http://www.ri.cmu.edu/person.html?person_id=123
(85)多伦多大学教授:David J.Fleet:http://www.cs.toronto.edu/~fleet/
(86)伦敦大学玛丽女王学院教授Andrea Cavallaro:http://www.eecs.qmul.ac.uk/~andrea/
(87)多伦多大学教授Kyros Kutulakos:http://www.cs.toronto.edu/~kyros/
(88)杜克大学教授Carlo Tomasi: http://www.cs.duke.edu/~tomasi/
(89)CMU教授Martial Hebert: http://www.cs.cmu.edu/~hebert/
(90)MIT助理教授Antonio Torralba:http://web.mit.edu/torralba/www/
(91)马里兰大学研究员Yasel Yacoob:http://www.umiacs.umd.edu/users/yaser/
(92)康奈尔大学教授Ramin Zabih: http://www.cs.cornell.edu/~rdz/

(93)CMU博士田渊栋: http://www.cs.cmu.edu/~yuandong/

(94)CMU副教授Srinivasa Narasimhan: http://www.cs.cmu.edu/~srinivas/

(95)CMU大学ILIM实验室:http://www.cs.cmu.edu/~ILIM/

(96)哥伦比亚大学教授Sheer K.Nayar: http://www.cs.columbia.edu/~nayar/

(97)三菱电子研究院研究员Fatih Porikli :http://www.porikli.com/

(98)康奈尔大学教授Daniel Huttenlocher:http://www.cs.cornell.edu/~dph/

(99)南京大学教授周志华:http://cs.nju.edu.cn/zhouzh/index.htm

(100)芝加哥丰田技术研究所助理教授Devi Parikh: http://ttic.uchicago.edu/~dparikh/index.html

(101)瑞士联邦理工学院博士后Helmut Grabner:http://www.vision.ee.ethz.ch/~hegrabne/#Short_CV

(102)香港中文大学教授贾佳亚:http://www.cse.cuhk.edu.hk/~leojia/index.html

(103)南洋理工大学副教授吴建鑫:http://c2inet.sce.ntu.edu.sg/Jianxin/index.html

(104)GE研究院研究员李关:http://www.cs.unc.edu/~lguan/

(105)佐治亚理工学院教授Monson Hayes:http://savannah.gatech.edu/people/mhayes/

(106)图片检索国际会议VOC(微软剑桥研究院组织):http://pascallin.ecs.soton.ac.uk/challenges/VOC/

(107)机器视觉开源处理库汇总:http://archive.cnblogs.com/a/2217609/

(108)布朗大学教授Benjamin Kimia:http://www.lems.brown.edu/kimia.html 

 

 

about multi-camera: http://server.cs.ucf.edu/~vision/projects.html

 

about
3D Voxel Coloring   Rob Hess: 
http://blogs.oregonstate.edu/hess/code/voxels/ 

 

About  the
particle filters--condensation filter:
http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/ISARD1/condensation.html

 

Machine Learning Open Source Software:http://jmlr.csail.mit.edu/mloss/

 

1、动作识别数据库:Recognition
of human actions:
http://www.nada.kth.se/cvap/actions/

 

2、Datasets for Computer Vision Research:http://www-cvr.ai.uiuc.edu/ponce_grp/data/

 

3、Computer Vision Datasets:http://clickdamage.com/sourcecode/cv_datasets.php

 

4、里面有好多基本算法 matlab:  http://www.mathworks.cn/index.html

 

5、CVPR 2011中关于grassmann 流形文章的源码: http://itee.uq.edu.au/~uqmhara1/code.html

 

  • Matlab
    Code
    for Graph Embedding Discriminant Analysis on Grassmannian Manifolds for Improved Image Set Matching (CVPR), 2011.
  • Matlab
    Code
    for Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition(IJCV), vol. 81, no. 2, pp. 191-204, 2009.

 

 牛人bolg:

 

1、Hong
Kong Polytechnic University :
http://www4.comp.polyu.edu.hk/~cslzhang/

 

2、Computer Vision Resources:资源非常丰富,包含有基本算法。https://netfiles.uiuc.edu/jbhuang1/www/resources/vision/index.html

 

3、源代码非常丰富~~  http://homepage.tudelft.nl/19j49/Publications.html

 

CVonline

http://homepages.inf.ed.ac.uk/rbf/CVonline

http://homepages.inf.ed.ac.uk/rbf/CVonline/unfolded.htm

http://homepages.inf.ed.ac.uk/rbf/CVonline/CVentry.htm

 

李子青的大作:

Markov Random Field Modeling in Computer Vision

http://www.cbsr.ia.ac.cn/users/szli/mrf_book/book.html

Handbook of Face Recognition (PDF)

http://www.umiacs.umd.edu/~shaohua/papers/zhou04hfr.pdf


 

 

张正友的有关参数鲁棒估计著作:

Parameter Estimation Techniques:A Tutorial with Application to Conic Fitting

http://research.microsoft.com/~zhang/INRIA/Publis/Tutorial-Estim/Main.html



Andrea
Fusiello
“计算机视觉中的几何”教程:Elements
of Geometric Computer Vision

http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-520007


 

有关马尔可夫蒙特卡罗方法的资料:

An introduction to Markov chain Monte Carlo

http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/SENEGAS/mcmc.html

Markov Chain Monte Carlo for Computer Vision---
A tutorial at ICCV05

       http://civs.stat.ucla.edu/MCMC/MCMC_tutorial.htm

 

有关独立成分分析(Independent Component Analysis , ICA)的资料:

An ICA-Page

http://www.cnl.salk.edu/~tony/ica.html

Fast ICA

http://www.cis.hut.fi/projects/ica/fastica/

 

       The Kalman Filter (介绍卡尔曼滤波器的终极网页)

      http://www.cs.unc.edu/~welch/kalman/index.html

 

Cached k-d tree search for ICP algorithms

http://kos.informatik.uni-osnabrueck.de/download/3dim2007/paper.html



几个计算机视觉研究工具

Machine Vision Toolbox for Matlab

http://www.petercorke.com/Machine Vision Toolbox.html


Matlab and Octave Function for Computer Vision and Image Processing

http://www.csse.uwa.edu.au/~pk/research/matlabfns/

 

Bayes Net Toolbox for Matlab

http://www.cs.ubc.ca/~murphyk/Software/BNT/bnt.html


OpenCV (Chinese)

http://www.opencv.org.cn/index.php/首页

 

Gandalf (A Computer Vision and Numerical Algorithm Labrary)

http://gandalf-library.sourceforge.net/

 

CMU Computer Vision Home Page

http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html

 

Machine Learning Resource Links

http://www.cse.ust.hk/~ivor/resource.htm

 

The Bayesian Filtering Library

http://www.orocos.org/bfl

 

Optical Flow Algorithm Evaluation (提供了一个动态贝叶斯网络框架,例如递归信息处理与分析、卡尔曼滤波、粒子滤波、序列蒙特卡罗方法等,C++写的)

http://of-eval.sourceforge.net/

 

MATLAB code for ICP algorithm

http://www.usenet.com/newsgroups/comp.graphics.visualization/msg00102.html

 

牛人主页:

朱松纯 (Song-Chun Zhu

http://www.stat.ucla.edu/~sczhu/

 

David Lowe (SIFT) (很帅的一个老头哦 ^ ^)

http://www.cs.ubc.ca/~lowe/

 

Andrea Vedaldi (SIFT)

http://vision.ucla.edu/~vedaldi/index.html

 

Pedro F. Felzenszwalb

http://people.cs.uchicago.edu/~pff/

 

Dougla Dlanman (Brown的一个研究生,在其主页上搜集了大量算法教程和源码)

http://mesh.brown.edu/dlanman/courses.html

 

Jianbo Shi (Ncuts 的始作俑者)

http://www.cis.upenn.edu/~jshi/

 

Active Vision Group (Oxford的一个机器视觉研究团队,特色是SLAM,监视,导航)

http://www.robots.ox.ac.uk/ActiveVision/index.html

 

Juyang Weng(机器学习的专家,Autonomous
Mental Development
 是其特色

http://www.cse.msu.edu/~weng/

测试图片或视频:

Middlebury College‘s Stereo Vision Data Set

http://cat.middlebury.edu/stereo/data.html

 

 

Intelligent Vehicle:

IVSource

www.ivsoruce.net

Robot Car

http://www.plyojump.com/robot_cars.html

How to Build a Robot: The Computer Vision Part

http://www.societyofrobots.com/programming_computer_vision_tutorial.shtml

 

收集的一般牛人主页(带代码):

 Xiaofei He(machine learning code)

http://people.cs.uchicago.edu/~xiaofei/

 YingNian Wu(active base model code)

http://www.stat.ucla.edu/~ywu/research.html

 布朗大学计算机主页(可找到该校CS牛人博客)

http://www.cs.brown.edu/research/areas.html

Navneet Dalal(Histograms of Oriented Gradients for Human Detection )

http://www.navneetdalal.com/software

Paul Viola(Robust Real-time Object Detection)

http://research.microsoft.com/en-us/um/people/viola/

 

Active LearningRMw平坦软件园

http://active-learning.net/,这里包括了关于Active Learning理论以及应用的一些文章,特别是那篇Survey。

Transfer LearningRMw平坦软件园

http://www.cse.ust.hk/TL/,包括经典的论文以及附带有源码,很方便。

Gaussian ProcessesRMw平坦软件园

RMw平坦软件园

http://www.gaussianprocess.org 包括相关的书籍(有 Carl Edward Rasmussen 的书),相关的程序以及分类的 paper 列表。这也是由 Carl 自己维护的,他应该是将 GP 引入 machine learning 最早的人之一了吧,Hinton 的学生。

Nonparametric Bayesian MethodsRMw平坦软件园

http://www.cs.berkeley.edu/~jordan/npb.html 这个一看就知道是 Jordan 维护的,主要包括 Dirichlet process 以及相关的其他随机过程在 machine learning 里面如何进行建模,如何进行 approximate inference。主要是文章列表。

Probabilistic Graphical ModelRMw平坦软件园

http://www.cs.ubc.ca/~murphyk/Bayes/bnintro.html 是 Kevin Murphy 所维护的关于 Bayesian belief networks 的介绍,含有最基本的概念、相关的文献和软件的链接。罕见的 UCB 出来的不是 Jordan 的学生(老板是 Stuart Russel)。
http://www.cs.berkeley.edu/~jordan/graphical.html 是 Jordan 系关于这个方面的论文汇编。
http://www.inference.phy.cam.ac.uk/hmw26/crf/ 是关于 Conditional Random Fields 方面论文和软件的收集,由 Hanna Wallach 维护。

Compressed SensingRMw平坦软件园

http://www-dsp.rice.edu/cs 这是 Rice 大学维护的论文分类列表、软件链接等。推荐 Emmanuel Candès 所写的tutorial,这人是 David Donoho 的学生。

TensorRMw平坦软件园

http://csmr.ca.sandia.gov/~tgkolda/pubs/index.html 关于 tensor 的一些偏数学的文章。

Deep Belief NetworkRMw平坦软件园

http://www.cs.toronto.edu/~hinton/csc2515/deeprefs.html 是 Geoffrey Hinton 为研究生开设的 machine learning 课程的 DBN 的 reading list。

Kernel MethodsRMw平坦软件园

http://www.cs.berkeley.edu/~jordan/kernels.html 是 Jordan 维护的关于 kernel methods 的文章列表。

Markov LogicRMw平坦软件园

http://ai.cs.washington.edu/pubs 是 UW AI 组的文章,里面关于 Markov logic 的比较多,因为 Pedro Domingos 就是这个组的。

Machine learning theory

http://hunch.net/这个网站主要是一些learning theory的东西比较多,想在machine learning 理论上有所建树的同志们可以去看看

 

 牛人:Iasonas Kokkinos (搞统计模型视觉)

http://vision.mas.ecp.fr/Personnel/iasonas/index.html

 

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