Computer Vision Tutorials from Conferences (1) -- ICCV

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.pdf

Part-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.pptx

Sparsity 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.pdf

Image 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.pptx

Introduction to Statistical Optimization for Geometric Estimation
Kenichi Kanatani (Okayama University)
http://www.iim.cs.tut.ac.jp/~kanatani/papers/okatutor.pdf

Low-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.pdf

Sparse 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.zip

Decision 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.pdf

Dense 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.html

3D 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.html

Fcam: 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.html

Variational 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.zip

Non-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.pdf

Learning 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.pptx

Computer 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.pdf

Geometry Constrained Parts based Detection
Simon Lucey, Jason Saragih (CI2CV)
http://ci2cv.net/tutorials/iccv-2011/
http://ci2cv.net/static/tutorials/ICCV11_tutorial_full.pdf

Decision Forests for Classification, Regression, Clustering and Density Estimation
Antonio Criminisi (MS Research)
http://research.microsoft.com/pubs/155552/decisionForests_MSR_TR_2011_114.pdf

Color 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.zip

Variational 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.pdf

Local Texture Descriptors in Computer Vision
Matti Pietikinen, 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.pdf

Computer Vision in the Analysis of Master Drawings and Paintings
David G. Stork (Diatrope)
http://www.diatrope.com/stork/CourseDescriptions.html

Human-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.html

Modeling 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.pdf

Coloring 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.pdf

Sparse 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.pdf

Physics-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.pdf

Boosting and Random Forest for Visual Recognition
Tae-Kyun Kim (Cambridge), Jamie Shotton (MS Research), Bjrn 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.zip

Numerical Geometry of Non-Rigid Objects
Michael Bronstein, Alexander Bronstein (Technion)
http://tosca.cs.technion.ac.il/book/course_iccv09.html

Recognizing 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 found

Human-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.html

Gradient 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 found

Principles 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.pdf

Visual Recognition
Jiri Matas (CTU Prague), Krystian Mikolajczyk (U Surrey)
http://cmp.felk.cvut.cz/~matas/tutorials/vis-rec_iccv07/recognition-iccv07.ppt

Discrete 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

ICCV 2005(http://web.archive.org/web/20060505041148/http://research.microsoft.com/iccv2005/Short_courses_schedule.htm)

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.pdf

Human-Centered Vision Systems
Alejandro (Alex) Jaimes (Fuji Xerox), Nicu Sebe (U amsterdam), Zhengyou Zhang (MS Research)
link not found

Using 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.pdf

Recognizing 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/

Markov 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.pdf

3D 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.pdf

Vision 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 found

Omnidirectional 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 found

Efficient 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.pdf

Learning 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.pdf

Learning 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.ppt

Dense 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 found

Image-based rendering
Brian Curless (U Washington), Harry Shum (MS Research), Richard Szelisk (MS Research)
http://lear.inrialpes.fr/people/triggs/events/iccv03/IBR.php