ICCV 2013 (http://www.iccv2013.org/tutorials.php)
Don't Relax: Why Non-Convex Algorithms are Often Needed for Sparse Estimation
David Wipf (MS Research)
http://research.microsoft.com/en-us/people/davidwip/wipf_iccv_slides_final.pdfPart-based Models for Recognition
Subhransu Maji (TTIC), Lubomir Buordev (Facebook), Ross Girshick (UC Bekerly)
http://www.cs.berkeley.edu/~rbg/ICCV2013/iccv_2013_tutorial_intro.pdf
http://www.cs.berkeley.edu/~rbg/ICCV2013/KeypointParts.pptx
http://www.cs.berkeley.edu/~rbg/ICCV2013/iccv_2013_tutorial_dpm.pdf
http://www.cs.berkeley.edu/~rbg/ICCV2013/PartsTutorial.pptxSparsity Estimation and Robust Learning: A Half-quadratic Minimization View
Ran He (CASIA), Wei-Shi Zheng (SYSU), Wang Liang (CASIA)
http://www.cripac.ia.ac.cn/People/rhe/iccv/S0-HQ.pdf
http://www.cripac.ia.ac.cn/People/rhe/iccv/S1-SR.pdf
http://www.cripac.ia.ac.cn/People/rhe/iccv/S2-HQ.pdf
http://www.cripac.ia.ac.cn/People/rhe/iccv/S3-RPCA.pdf
http://www.cripac.ia.ac.cn/People/rhe/iccv/S4-SS.pdfImage and Video Matting
Ehsan Shahrian (Med U Vienna), Margrit Gelautz (TU Vienna), Brian Price (Adobe), Brian Price (TU Vienna)
http://www.alphamatting.com/ICCV2013_tutorial/introduction.pdf
http://www.alphamatting.com/ICCV2013_tutorial/ImageMatting.pptx
http://www.alphamatting.com/ICCV2013_tutorial/VideoMatting.pptx
http://www.alphamatting.com/ICCV2013_tutorial/FutureWork.pptxIntroduction to Statistical Optimization for Geometric Estimation
Kenichi Kanatani (Okayama University)
http://www.iim.cs.tut.ac.jp/~kanatani/papers/okatutor.pdfLow-Dimensional Subspaces in Computer Vision
Roland Angst (Stanford)
http://www.stanford.edu/~rangst/cgi-bin/iccv-13-tutorial/schedule/Session-0-Introduction.pdf
http://www.stanford.edu/~rangst/cgi-bin/iccv-13-tutorial/schedule/Session-1-Basics.pdf
http://www.stanford.edu/~rangst/cgi-bin/iccv-13-tutorial/schedule/Session-2-Models.pdf
http://www.stanford.edu/~rangst/cgi-bin/iccv-13-tutorial/schedule/Session-3-Algorithms.pdf
http://www.stanford.edu/~rangst/cgi-bin/iccv-13-tutorial/schedule/Session-4-Applications.pdfSparse and Low-Rank Representations in Computer Vision -- Theory, Algorithms, and Applications
Bernard Ghanem (KAUST), John Wright (Columbia), Allen Y. Yang (UC Berkeley)
http://vcc.kaust.edu.sa/Documents/Bernard/ICCV2013_tutorial/ICCV2013-lecture1-theory.zip
http://vcc.kaust.edu.sa/Documents/Bernard/ICCV2013_tutorial/ICCV2013-lecture2-optimization.pdf
http://vcc.kaust.edu.sa/Documents/Bernard/ICCV2013_tutorial/ICCV2013-lecture3-applications.zipDecision Forests and Fields for Computer Vision
Jamie Shotton, Sebastian Nowozin (MS Research)
http://research.microsoft.com/en-us/um/cambridge/projects/iccv2013tutorial/2013%20DecisionForestsTutorial%20ICCV%202013.pptx
http://research.microsoft.com/en-us/um/cambridge/projects/iccv2013tutorial/2013%20DecisionForestTutorial%20ICCV%202013%20Entropy%20Estimation.pptx
http://research.microsoft.com/en-us/um/cambridge/projects/iccv2013tutorial/2013%20DecisionForestTutorial%20ICCV%202013%20Tree%20Fields.pptx
http://research.microsoft.com/en-us/um/cambridge/projects/iccv2013tutorial/CVPR%202012%20Graphical%20Models%20Introduction.pdfDense Image Correspondences for Computer Vision
Ce Liu (MIT), Zhuowen Tu (UCSD), Michael Rubinstein (MIT)
http://techtalks.tv/events/320/776/Spectral Geometry Methods in 3D Data Analysis
Alexander Bronstein, Michael Bronstein (Technion)
file link not found, see a similar one from the same author:
http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/tutorials/T4-handouts.pdf
ICCV 2011 (http://www.iccv2011.org/program/tutorials)
Looking at People: The Past, the Present and the Future
Leonid Sigal (Disney), Thomas Moeslund (Aalborg U), Adrian Hilton (U Surrey), Volker Kruger (Aalborg U)
many pdf files and videos, for details see:
http://cs.brown.edu/~ls/iccv2011tutorial.html3D Point Cloud Processing: PCL (Point Cloud Library)
Radu Rusu (Willow Garage), Stefan Holzer (TU Munchen), Michael Dixon (Willow Garage), Vincent Rabaud (Willow Garage)
for pdf files, see:
http://www.pointclouds.org/media/iccv2011.htmlFcam: an Architecture and API for Computational Cameras
Kari Pulli (NVDIA), Andrew Adams (MIT), Timo Ahonen (Nokia), Marius Tico (Nokia)
http://fcam.garage.maemo.org/iccv2011.htmlVariational Methods for Computer Vision
Daniel Cremers, Bastian Goldlucke, Thomas Pock (TU Munchen)
http://vision.in.tum.de/tutorials/iccv2011
http://vision.in.tum.de/_media/tutorials/iccv2011/iccv2011-tutorial-complete.zipNon-rigid Registration and Reconstruction
Alessio Del Bue (IIT Italy), Lourdes Agapito (QMUL), Adrien Bartoli (U d'Auvergne)
http://www.isr.ist.utl.pt/~adb/tutorial_2009/2011.11.Tutorial-ICCV-Introduction.pdf
http://www.isr.ist.utl.pt/~adb/tutorial_2009/2011.11.Tutorial-ICCV-ImageRegistration.pdf
http://www.isr.ist.utl.pt/~adb/tutorial_2009/2011.11.Tutorial-ICCV-TemplateBasedShapeInference.pdf
http://www.isr.ist.utl.pt/~adb/tutorial_2009/2011_ICCV_Non-rigid_Structure_From_Motion_PDF.pdf
http://www.isr.ist.utl.pt/~adb/tutorial_2009/2011_ICCV_Non-rigid_Structure_From_Motion_lourdes.pdf
A newer one @ICIAP'13:
http://users.isr.ist.utl.pt/~adb/tutorial_2009/PDF_2013_ICIAP_NRSFM.pdfLearning with Inference for Discrete Graphical Models
Nikos Komodakis (Ecole des Ponts ParisTech), Pawan Kumar (Standford), Nikos Paragios (Ecole Centrale de Paris), Ramin Zabih(Cornell)
http://www.csd.uoc.gr/~komod/ICCV2011_tutorial/
http://www.csd.uoc.gr/~komod/ICCV2011_tutorial/ICCV11_Introduction.pptx
http://www.csd.uoc.gr/~komod/ICCV2011_tutorial/ICCV11_Ramin_Inference-1.pptx
http://www.csd.uoc.gr/~komod/ICCV2011_tutorial/ICCV11_Komodakis_Inference-2b.pptx
http://www.csd.uoc.gr/~komod/ICCV2011_tutorial/ICCV11_Komodakis_Learning-1.pdf
http://www.csd.uoc.gr/~komod/ICCV2011_tutorial/ICCV11_Kumar_Learning-2.pptxComputer Vision Fundamentals: Robust Non-linear Least-squares and Their Applications
Pascal Fua, Vincent Lepetit (EPFL)
http://cvlabwww.epfl.ch/~fua/courses/lsq/Intro.htm
http://cvlabwww.epfl.ch/~fua/courses/lsq/Slides1.pdf
http://cvlabwww.epfl.ch/~fua/courses/lsq/Slides2.pdfGeometry Constrained Parts based Detection
Simon Lucey, Jason Saragih (CI2CV)
http://ci2cv.net/tutorials/iccv-2011/
http://ci2cv.net/static/tutorials/ICCV11_tutorial_full.pdfDecision Forests for Classification, Regression, Clustering and Density Estimation
Antonio Criminisi (MS Research)
http://research.microsoft.com/pubs/155552/decisionForests_MSR_TR_2011_114.pdfColor Image Understanding: from Acquisition to High-level Image Understanding
Theo Gevers (U Amsterdam), Keigo Hirakawa (U Dayton), Joost van de Weijer (Universitat Autònoma de Barcelona)
http://www.cat.uab.cat/~joost/tutorial_iccv.html
http://cat.cvc.uab.es/~joost/data/ICCV2011.pdf
http://cat.cvc.uab.es/~joost/data/ICCV2011PARTIIIA.pdf
http://cat.cvc.uab.es/~joost/data/ICCV2011PARTIIIB.pdf
ICCV 2009 (http://yokoya.naist.jp/iccv2009/tutorials/index.html)
MAP Inference in Discrete Models
Pushmeet Kohli (MS Research), M Pawan Kumar (Stanford), Carsten Rother (MS Research)
http://research.microsoft.com/en-us/um/cambridge/projects/tutorial/
http://research.microsoft.com/en-us/um/cambridge/projects/tutorial/PDF-ICCV09_Tutorial_MAP_Inference_DiscreteModels.zipVariational Optical Flow Estimation
Thomas Brox (UC Berkeley), Andrés Bruhn (Stanford)
http://www.mia.uni-saarland.de/bruhn/iccv2009/index.shtml
http://www.mia.uni-saarland.de/bruhn/iccv2009/slides/iccv2009_partI.pdf
http://www.mia.uni-saarland.de/bruhn/iccv2009/slides/iccv2009_partII.pdf
http://www.mia.uni-saarland.de/bruhn/iccv2009/slides/iccv2009_partIII.pdfLocal Texture Descriptors in Computer Vision
Matti Pietikäinen, Guoying Zhao (Oulu)
http://www.ee.oulu.fi/~gyzhao/ICCVTutorial/index.htm
http://www.ee.oulu.fi/mvg/files/File/ICCV2009_tutorial_Matti_guoying-Local%20Texture%20Descriptors%20in%20Computer%20Vision.pdfComputer Vision in the Analysis of Master Drawings and Paintings
David G. Stork (Diatrope)
http://www.diatrope.com/stork/CourseDescriptions.htmlHuman-centered Vision Systems
Hamid Aghajan (Stanford), Nicu Sebe (U Trento)
link not found, see a similar one @CVPR'10
http://disi.unitn.it/~sebe/cvpr10-tutorial.htmlModeling Natural Image Statistics for Computer Vision
Siwei Lyu (University at Albany, SUNY), Stefan Roth (TU Darmstadt)
http://www.gris.informatik.tu-darmstadt.de/teaching/iccv2009/ICCV_Tutorial_Part1.pdf
http://www.gris.informatik.tu-darmstadt.de/teaching/iccv2009/ICCV_Tutorial_Part2.pdf
http://www.gris.informatik.tu-darmstadt.de/teaching/iccv2009/ICCV_Tutorial_Part3.pdfColoring Visual Search
Cees G. M. Snoek, Theo Gevers, Arnold W. M. Smeulders (U Amsterdam)
http://staff.science.uva.nl/~cgmsnoek/coloringvisualsearch/
http://staff.science.uva.nl/~cgmsnoek/pub/slides/ICCV-2009-Snoek-Gevers-Smeulders-ColoringVisualSearch-web.pdfSparse Coding and Dictionary Learning for Image Analysis
Francis Bach (INRIA), Julien Mairal (INRIA), Jean Ponce (ENS), Guillermo Sapiro (u Minnesota)
http://lear.inrialpes.fr/people/mairal/tutorial_iccv09/
http://lear.inrialpes.fr/people/mairal/tutorial_iccv09/tuto_part0.pdf
http://lear.inrialpes.fr/people/mairal/tutorial_iccv09/tuto_part1.pdf
http://lear.inrialpes.fr/people/mairal/tutorial_iccv09/tuto_part2.pdf
http://lear.inrialpes.fr/people/mairal/tutorial_iccv09/tuto_part3.pdf
http://lear.inrialpes.fr/people/mairal/tutorial_iccv09/tuto_part4.pdf
http://lear.inrialpes.fr/people/mairal/tutorial_iccv09/tuto_part5.pdfPhysics-Based Human Motion Modelling for People Tracking
Marcus A. Brubaker, Leonid Sigal, David J. Fleet (Toronto)
http://www.cs.toronto.edu/~ls/iccv2009tutorial/Structured Prediction in Computer Vision
Tibério Caetano, Richard Hartley (ANU)
http://tiberiocaetano.com/iccv_tutorial/
http://tiberiocaetano.com/iccv_tutorial/ICCV_tut_caetano.pdf
http://tiberiocaetano.com/iccv_tutorial/ICCV_tut_hartley.pdfBoosting and Random Forest for Visual Recognition
Tae-Kyun Kim (Cambridge), Jamie Shotton (MS Research), Björn Stenger (Toshiba)
http://www.iis.ee.ic.ac.uk/~tkkim/iccv09_tutorial
http://www.iis.ee.ic.ac.uk/~tkkim/data/ICCV09TutorialPart2.zip
http://jamie.shotton.org/work/presentations/ICCV2009TutorialPartI.pptx
http://mi.eng.cam.ac.uk/~bdrs2/ICCV2009TutorialPart3.zipNumerical Geometry of Non-Rigid Objects
Michael Bronstein, Alexander Bronstein (Technion)
http://tosca.cs.technion.ac.il/book/course_iccv09.htmlRecognizing and Learning Object Categories: Year 2009
Li Fei-Fei (Stanford), Rob Fergus (NYU), Antonio Torralba (MIT)
http://people.csail.mit.edu/torralba/shortCourseRLOC/index.html
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/ICCV2009_intro.pdf
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/ICCV2009_classical_methods.pptx
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/ICCV2009_singleObjectContext.pptx
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/ICCV2009_3D_objects.pptx
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/ICCV2009_large_scale.pptx
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/ICCV2009_multiclass.pptx
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/ICCV2009_Pictures_and_Words.pptx
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/ICCV2009_Dataset.pptx
ICCV 2007 (http://iccv2007.rutgers.edu/tutorials.htm)
Optical Motion Capture
Yiannis Aloimonos (UMD), Gutemberg Guerra-Filho (Intel)
link not foundHuman-Centered Vision Systems
Thomas S. Huang (UIUC), Alejandro (Alex) Jaimes (Columbia), Nicu Sebe (U Trento)
link not found, see a similar one @CVPR'10
http://disi.unitn.it/~sebe/cvpr10-tutorial.htmlGradient Domain Manipulation Techniques in Vision and Graphics
Amit Agrawal (UMD), Ramesh Raskar (MIT)
http://www.umiacs.umd.edu/users/aagrawal/ICCV2007Course/
ftp://ftp.umiacs.umd.edu/pub/aagrawal/ICCV07Course/Tensor Methods for Computer Vision, Graphics and Machine Learning
M. Alex O. Vasilescu (MIT), Amnon Shashua (Hebrew)
pdf file not found, see a similar one @ICML'07:
http://www.cs.huji.ac.il/~shashua/papers/ICML07-Tutorial.pdf
http://alumni.media.mit.edu/~maov/classes/iccv2007/Content-based Image and Video Retrieval
Theo Gevers, Nicu Sebe, Arnold Smeulders (U Amsterdam)
link not foundPrinciples of Appearance Acquisition and Representation
Tim Weyrich (Princeton), Jason Lawrence (U Virfinia), Hendrik P.A. Lensch (MPI), Szymon Rusinkiewicz (Princeton), Todd Zickler (Harvard)
http://www0.cs.ucl.ac.uk/staff/T.Weyrich/iccv07-course/iccv07-appearance-course.pdf
and also here is a journal version:
http://gfx.cs.princeton.edu/gfx/pubs/Weyrich_2009_POA/0600000022.pdfVisual Recognition
Jiri Matas (CTU Prague), Krystian Mikolajczyk (U Surrey)
http://cmp.felk.cvut.cz/~matas/tutorials/vis-rec_iccv07/recognition-iccv07.pptDiscrete Optimization methods in Computer Vision
Nikos Komodakis (Ecole des Ponts ParisTech), Philip Torr (Oxford Brookes), Vladimir Kolmogorov (University College London), Yuri Boykov (U Western Ontario)
http://www.csd.uoc.gr/~komod/ICCV07_tutorial/
http://www.csd.uoc.gr/~komod/ICCV07_tutorial/ICCV07_tutorial_yuri.pps
http://www.csd.uoc.gr/~komod/ICCV07_tutorial/ICCV07_tutorial_slides_NKom.ppt
http://www.csd.uoc.gr/~komod/ICCV07_tutorial/ICCV07_tutorial_vnk.ppt
http://www.csd.uoc.gr/~komod/ICCV07_tutorial/ICCV07_tute.ppt
3D Human Motion Analysis in Monocular Video
Cristian Sminchisescu (Toronto)
http://web.archive.org/web/20060517231018/http://www.cs.toronto.edu/~crismin/PAPERS/tutorial_iccv.pdfHuman-Centered Vision Systems
Alejandro (Alex) Jaimes (Fuji Xerox), Nicu Sebe (U amsterdam), Zhengyou Zhang (MS Research)
link not foundUsing Algebraic Geometry for Solving Polynomial Problems in Computer Vision
David Nister, Henrik Stewenius (Kentucky)
http://www.vis.uky.edu/~stewe/tutorials/iccv2005solving/tutorial_iccv2005.html
http://www.vis.uky.edu/~stewe/tutorials/iccv2005solving/ICCV2005tutorial.ppt
http://www.vis.uky.edu/~stewe/tutorials/iccv2005solving/tutorial_iccv2005_slides_henrik.pdfRecognizing and Learning Object Categories
Antonio Torralba (MIT), Li Fei-Fei (UIUC), Rob Fergus (Oxford)
http://web.archive.org/web/20060505041148/http://people.csail.mit.edu/torralba/iccv2005/ http://people.csail.mit.edu/torralba/shortCourseRLOC/
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/CDoverview.ppt
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/introduction.ppt
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/part_1.ppt
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/part_2.ppt
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/part_3.ppt
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/part_4.ppt
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/summary.ppt
http://people.csail.mit.edu/torralba/shortCourseRLOC/slides/references.pptMarkov Chain Monte Carlo for Computer Vision
Song-Chun Zhu (UCLA), Zhuowen Tu (UCLA), Frank Dellaert (Georgia Tech)
http://web.archive.org/web/20060505041148/http://civs.stat.ucla.edu/MCMC/MCMC_tutorial.htm
http://web.archive.org/web/20060518005705/http://civs.stat.ucla.edu/MCMC/MCMC_tutorial/Lect1_MCMC_Intro.pdf
http://web.archive.org/web/20060518005705/http://civs.stat.ucla.edu/MCMC/MCMC_tutorial/Lect2_Basic_MCMC.pdf
http://web.archive.org/web/20060518005705/http://civs.stat.ucla.edu/MCMC/MCMC_tutorial/Lect3_tricks.pdf
http://web.archive.org/web/20060518005705/http://civs.stat.ucla.edu/MCMC/MCMC_tutorial/Lect7_Convergence.pdf
http://web.archive.org/web/20060518005705/http://civs.stat.ucla.edu/MCMC/MCMC_tutorial/Lect4_RJMCMC.pdf
http://web.archive.org/web/20060518005705/http://civs.stat.ucla.edu/MCMC/MCMC_tutorial/Lect6_SWC.pdf
http://web.archive.org/web/20060518005705/http://civs.stat.ucla.edu/MCMC/MCMC_tutorial/Lect5_ddmcmc.pdf3D Scan Matching and Registration
Szymon Rusinkiewicz (Princeton), Benedict Brown (Princeton), Michael Kazhdan (JHU)
http://web.archive.org/web/20060525172318/http://www.cs.princeton.edu/~bjbrown/iccv05_course/iccv05_intro.pdf
http://web.archive.org/web/20060525172318/http://www.cs.princeton.edu/~bjbrown/iccv05_course/bibliography.pdf
http://web.archive.org/web/20060525172318/http://www.cs.princeton.edu/~bjbrown/iccv05_course/iccv05_matching.pdf
http://web.archive.org/web/20060525172318/http://www.cs.princeton.edu/~bjbrown/iccv05_course/iccv05_icp_gr.ppt
http://web.archive.org/web/20060525172318/http://www.cs.princeton.edu/~bjbrown/iccv05_course/iccv05_nonrigid.pdfVision for Graphics
Sing Bing Kang (MS Research), Steve Sullivan (Industrial Light & Magic), Rick Szeliski (MS Research), Larry Zitnick (MS Research)
link not found, see a journal version:
http://research.microsoft.com/en-us/um/people/sbkang/publications/ijarc07-kang.pdf
ICCV 2003 (http://lear.inrialpes.fr/people/triggs/events/iccv03/courses.php)
PDE's and level sets methods in the imaging sciences
Ron Fedkiw (Stanford), Stanley Osher (UCLA), Guillermo Sapiro (U Minnesota)
http://lear.inrialpes.fr/people/triggs/events/iccv03/LevelSetMethods.php
pdf file not foundOmnidirectional vision
Christopher Geyer (UC Bekerly), Tomas Pajdla (CTU Prague), Kostas Daniilidi (UPenn)
http://lear.inrialpes.fr/people/triggs/events/iccv03/OmniVision.php
pdf file not foundEfficient algorithms for matching
Dan Huttenlocher (Cornell), Phil Torr (MS Research)
http://lear.inrialpes.fr/people/triggs/events/iccv03/cdrom/courses/matching-part1.pdf
http://lear.inrialpes.fr/people/triggs/events/iccv03/cdrom/courses/matching-part2.pdfLearning and vision: Generative methods
Bill Freeman (MIT), Andrew Blake (MS Research)
http://lear.inrialpes.fr/people/triggs/events/iccv03/courses/ch0.ppt
http://lear.inrialpes.fr/people/triggs/events/iccv03/courses/ch1.ppt
http://lear.inrialpes.fr/people/triggs/events/iccv03/courses/ch2.ppt
http://lear.inrialpes.fr/people/triggs/events/iccv03/courses/ch3.ppt
http://lear.inrialpes.fr/people/triggs/events/iccv03/courses/ch4.ppt
http://lear.inrialpes.fr/people/triggs/events/iccv03/courses/refs.pdfLearning and vision: Discriminative methods
Chris Bishop, Paul Viola (MS Research)
http://lear.inrialpes.fr/people/triggs/events/iccv03/Bishop-ICCV-03-tutorial.ppt
http://lear.inrialpes.fr/people/triggs/events/iccv03/Viola-ICCV-03-tutorial.pptDense multiview stereo
Steve Seitz (U Washington), Richard Szeliski (MS Research), Ramin Zabih (Cornell)
http://lear.inrialpes.fr/people/triggs/events/iccv03/MultiviewStereo.php
pdf file not foundImage-based rendering
Brian Curless (U Washington), Harry Shum (MS Research), Richard Szelisk (MS Research)
http://lear.inrialpes.fr/people/triggs/events/iccv03/IBR.php
pdf file not found
