Monday, September 16, 2013

Videos and Slides: IPAM Graduate Summer School: Computer Vision



This past Summer, we also had a few schools related to the subject areas mentioned here, this time it was at the IPAM Graduate Summer School on Computer Vision. Here is the program with videos and attendant slides. If you are wondering about the connection between compressive sensing and machine learning here is the entry I wrote a while back on the subject: Sunday Morning Insight: A Quick Panorama of Sensing from Direct Imaging to Machine Learning. The figure above is from Rob Fergus's first presentation. Enjoy!

Monday, July 22, 2013

9:00 - 10:00 Alan Yuille (University of California, Los Angeles (UCLA))
What is Vision and Why is it Hard?
Presentation (PowerPoint File)
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10:30 - 11:30 Iasonas Kokkinos (École Centrale de Paris)
12:00 - 1:00 Iasonas Kokkinos (École Centrale de Paris)
2:30 - 3:30 Ying Nian Wu (University of California, Los Angeles (UCLA))
4:00 - 5:00 Yuri Boykov (University of Western Ontario)

Tuesday, July 23, 2013

9:00 - 10:00 Mila Nikolova (École Normale Supérieure de Cachan)
10:30 - 11:30 Yuri Boykov (University of Western Ontario)
12:00 - 1:00 Mila Nikolova (École Normale Supérieure de Cachan)
2:30 - 3:30 Yuri Boykov (University of Western Ontario)
4:00 - 5:00 Mila Nikolova (École Normale Supérieure de Cachan)

Wednesday, July 24, 2013

9:00 - 10:00 William Freeman (Massachusetts Institute of Technology)
10:30 - 11:30 William Freeman (Massachusetts Institute of Technology)
12:00 - 1:00 Jason Corso (SUNY Buffalo)
2:30 - 3:30 Yuri Boykov (University of Western Ontario)
4:00 - 5:00 Iasonas Kokkinos (École Centrale de Paris)

Thursday, July 25, 2013

9:00 - 10:00 Iasonas Kokkinos (École Centrale de Paris)
10:30 - 11:30 Jason Corso (SUNY Buffalo)
12:00 - 1:00 Ying Nian Wu (University of California, Los Angeles (UCLA))
2:30 - 3:30 Alan Yuille (University of California, Los Angeles (UCLA))
Brief Introduction to Geometry and Vision
Presentation (PowerPoint File)
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4:00 - 5:00 Jason Corso (SUNY Buffalo)

Friday, July 26, 2013

9:00 - 10:00 Richard Szeliski (Microsoft Research)
10:30 - 11:30 Richard Szeliski (Microsoft Research)
12:00 - 1:00 Richard Szeliski (Microsoft Research)
2:30 - 3:30 Alan Yuille (University of California, Los Angeles (UCLA))
How to Write a Good Paper
video presentation1080p | 480p | 240p |
4:00 - 5:00 Alan Yuille (University of California, Los Angeles (UCLA))
How to Read a Paper Critically
video presentation1080p | 480p | 240p |

Monday, July 29, 2013

9:00 - 10:00 Daniel Cremers (Technische Universtitat München)
Variational Methods and PDE's for Image Analysis
PDF Presentation
Presentation (PowerPoint File)
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10:30 - 11:30 Daniel Cremers (Technische Universtitat München)
Convex Optimization and Image Segmentation
PDF Presentation
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12:00 - 1:00 Richard Korf (University of California, Los Angeles (UCLA))
Heuristic Search I
2:30 - 3:30 Richard Korf (University of California, Los Angeles (UCLA))
Heuristic Search II
4:00 - 5:00 Alan Yuille (University of California, Los Angeles (UCLA))
Search and Vision
PDF Presentation
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Tuesday, July 30, 2013

9:00 - 10:00 Daniel Cremers (Technische Universtitat München)
Multiple View Reconstruction
PDF Presentation
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10:30 - 11:30 Daniel Cremers (Technische Universtitat München)
Optical Flow and Dense Correspondence
PDF Presentation
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12:00 - 1:00 Rob Fergus (New York University)
2:30 - 3:30 Rob Fergus (New York University)
4:00 - 5:00 Rob Fergus (New York University)

Wednesday, July 31, 2013

9:00 - 10:00 Stanley Osher (University of California, Los Angeles (UCLA))
Level Sets and TV-norms
PDF Presentation
10:30 - 11:30 Stanley Osher (University of California, Los Angeles (UCLA))
Split-Bregman
12:00 - 1:00 Ying Nian Wu (University of California, Los Angeles (UCLA))
2:30 - 3:30 Bruno Jedynak (Johns Hopkins University)
4:00 - 5:00 Bruno Jedynak (Johns Hopkins University)

Thursday, August 1, 2013

9:00 - 10:00 David Gu (SUNY Stony Brook)
10:30 - 11:30 David Gu (SUNY Stony Brook)
12:00 - 1:00 Ronen Basri (Weizmann Institute of Science)
2:30 - 3:30 Ronen Basri (Weizmann Institute of Science)
4:00 - 5:00 David Gu (SUNY Stony Brook)

Friday, August 2, 2013

9:00 - 10:00 Raquel Urtasun (Toyota Technological Institute at Chicago)
10:30 - 11:30 Raquel Urtasun (Toyota Technological Institute at Chicago)
12:00 - 1:00 Anand Rangarajan (University of Florida)
2:30 - 3:30 Alan Yuille (University of California, Los Angeles (UCLA))
Adaboost and SVM for object detection
PDF Presentation
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4:00 - 5:00 Raquel Urtasun (Toyota Technological Institute at Chicago)

Monday, August 5, 2013

9:00 - 10:00 Sparse and Low-Rank Representation Lecture I: Motivation and Theory
10:30 - 11:30 Lecture II: Data Modeling and Applications
12:00 - 1:00 Yi Ma (Microsoft Research Asia)
2:30 - 3:30 Lieven Vandenberghe (University of California, Los Angeles (UCLA))
4:00 - 5:00 Lieven Vandenberghe (University of California, Los Angeles (UCLA))

Tuesday, August 6, 2013

9:00 - 10:00 Anand Rangarajan (University of Florida)
10:30 - 11:30 Iasonas Kokkinos (École Centrale de Paris)
12:00 - 1:00 Fei Sha (University of Southern California (USC))
Dimension Reduction (Part 1)
PDF Presentation
2:30 - 3:30 Fei Sha (University of Southern California (USC))
Manifold Learning (Part 2)
PDF Presentation
4:00 - 5:00 John Wright (Columbia University)

Wednesday, August 7, 2013

9:00 - 10:00 Deva Ramanan (University of California, Irvine (UCI))
Pictorial Structures
PDF Presentation
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10:30 - 11:30 Iasonas Kokkinos (École Centrale de Paris)
12:00 - 1:00 Martial Hebert (Carnegie-Mellon University)
2:30 - 3:30 Martial Hebert (Carnegie-Mellon University)
4:00 - 5:00 Deva Ramanan (University of California, Irvine (UCI))
Latent SVMs
PDF Presentation
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Thursday, August 8, 2013

9:00 - 10:00 Deva Ramanan (University of California, Irvine (UCI))
Temporal models for action recognition (HMMs, semi-markov models, CFGs)
PDF Presentation
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10:30 - 11:30 Martial Hebert (Carnegie-Mellon University)
12:00 - 1:00 Alan Yuille (University of California, Los Angeles (UCLA))
Compositional Models for Vision
PDF Presentation
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2:30 - 3:30 Sinisa Todorovic (Oregon State University)
4:00 - 5:00 Sinisa Todorovic (Oregon State University)

Friday, August 9, 2013

9:00 - 10:00 Don Geman (Johns Hopkins University)
10:30 - 11:30 Alan Yuille (University of California, Los Angeles (UCLA))
 
video presentation1080p | 480p | 240p |
12:00 - 1:00 Deva Ramanan (University of California, Irvine (UCI))
Future Challenges in Object Recognition
PDF Presentation
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2:30 - 3:30 Fei Fei Li (Stanford University)
Datasets and Challenges
PDF Presentation
4:00 - 5:00 Don Geman (Johns Hopkins University)


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2 comments:

Abhishek said...

The Videos appear to be inaccessible or the corresponding links broken

Igor said...

They seem to have changed their layouts. It should be fixed now.

Igor.

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