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? 1080p | 480p | 240p |
10:30 - 11:30	Iasonas Kokkinos (École Centrale de Paris) Introduction to Linear Image Processing 1080p | 480p | 240p |
12:00 - 1:00	Iasonas Kokkinos (École Centrale de Paris) Introduction to Non-Linear Image Processing 1080p | 480p | 240p |
2:30 - 3:30	Ying Nian Wu (University of California, Los Angeles (UCLA)) Probabilistic Models for Images: Markov Random Fields and basic sampling. Applications to image segmentation and texture modeling 1080p | 480p | 240p |
4:00 - 5:00	Yuri Boykov (University of Western Ontario) Introduction to Image Segmentation: Part 1a 1080p | 480p | 240p |
Tuesday, July 23, 2013
9:00 - 10:00	Mila Nikolova (École Normale Supérieure de Cachan) Inverse Modelling using Optimization, Part I 1080p | 480p | 240p |
10:30 - 11:30	Yuri Boykov (University of Western Ontario) Introduction to Image Segmentation: Part 1b 1080p | 480p | 240p |
12:00 - 1:00	Mila Nikolova (École Normale Supérieure de Cachan) Inverse Modelling using Optimization, Part II 1080p | 480p | 240p |
2:30 - 3:30	Yuri Boykov (University of Western Ontario) Multi-label segmentation and high-order constraints 1080p | 480p | 240p |
4:00 - 5:00	Mila Nikolova (École Normale Supérieure de Cachan) Inverse Modelling using Optimization, Part III 1080p | 480p | 240p |
Wednesday, July 24, 2013
9:00 - 10:00	William Freeman (Massachusetts Institute of Technology) Belief propagation and patch-based image analysis 1080p | 480p | 240p |
10:30 - 11:30	William Freeman (Massachusetts Institute of Technology) Computational Photography 1080p | 480p | 240p |
12:00 - 1:00	Jason Corso (SUNY Buffalo) Agglomerative and Hierarchical Grouping and Segmentation in Space and Space-Time 1080p | 480p | 240p |
2:30 - 3:30	Yuri Boykov (University of Western Ontario) Model fitting and regularization (discrete optimization approach) 1080p | 480p | 240p |
4:00 - 5:00	Iasonas Kokkinos (École Centrale de Paris) Introduction to Motion Correspondence 1080p | 480p | 240p |
Thursday, July 25, 2013
9:00 - 10:00	Iasonas Kokkinos (École Centrale de Paris) Interest Point Detectors and Descriptors 1080p | 480p | 240p |
10:30 - 11:30	Jason Corso (SUNY Buffalo) Low-Level Features and Descriptors in Video 1080p | 480p | 240p |
12:00 - 1:00	Ying Nian Wu (University of California, Los Angeles (UCLA)) Sparsity and Active Bases 1080p | 480p | 240p |
2:30 - 3:30	Alan Yuille (University of California, Los Angeles (UCLA)) Brief Introduction to Geometry and Vision 1080p | 480p | 240p |
4:00 - 5:00	Jason Corso (SUNY Buffalo) Vision and Language 1080p | 480p | 240p |
Friday, July 26, 2013
9:00 - 10:00	Richard Szeliski (Microsoft Research) Image Stitching 1080p | 480p | 240p |
10:30 - 11:30	Richard Szeliski (Microsoft Research) Image-based Rendering and Modeling 1080p | 480p | 240p |
12:00 - 1:00	Richard Szeliski (Microsoft Research) Internet-Scale 3D modeling - Rome in a Day 1080p | 480p | 240p |
2:30 - 3:30	Alan Yuille (University of California, Los Angeles (UCLA)) How to Write a Good Paper 1080p | 480p | 240p |
4:00 - 5:00	Alan Yuille (University of California, Los Angeles (UCLA)) How to Read a Paper Critically 1080p | 480p | 240p |
Monday, July 29, 2013
9:00 - 10:00	Daniel Cremers (Technische Universtitat München) Variational Methods and PDE's for Image Analysis 1080p | 480p | 240p |
10:30 - 11:30	Daniel Cremers (Technische Universtitat München) Convex Optimization and Image Segmentation 1080p | 480p | 240p |
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 1080p | 480p | 240p |
Tuesday, July 30, 2013
9:00 - 10:00	Daniel Cremers (Technische Universtitat München) Multiple View Reconstruction 1080p | 480p | 240p |
10:30 - 11:30	Daniel Cremers (Technische Universtitat München) Optical Flow and Dense Correspondence 1080p | 480p | 240p |
12:00 - 1:00	Rob Fergus (New York University) An Introduction to Deep Learning for Vision 1080p | 480p | 240p |
2:30 - 3:30	Rob Fergus (New York University) Training Large Convolutional Neural Network Models for Image Classification 1080p | 480p | 240p |
4:00 - 5:00	Rob Fergus (New York University) Deconvolutional Networks 1080p | 480p | 240p |
Wednesday, July 31, 2013
9:00 - 10:00	Stanley Osher (University of California, Los Angeles (UCLA)) Level Sets and TV-norms
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)) Introduction to Information Theory for Vision 1080p | 480p | 240p |
2:30 - 3:30	Bruno Jedynak (Johns Hopkins University) Game of Twenty Questions with noisy answers. A paradigm for Human and Computer Vision. Information Theory. Sequential acquisition of information 1080p | 480p | 240p |
4:00 - 5:00	Bruno Jedynak (Johns Hopkins University) 20Q for Fast face detection, micro-surgical tool tracking and electron microscopy 1080p | 480p | 240p |
Thursday, August 1, 2013
9:00 - 10:00	David Gu (SUNY Stony Brook) Tutorial on Conformal Geometry for Computer Vision 1080p | 480p | 240p |
10:30 - 11:30	David Gu (SUNY Stony Brook) Tutorial on Surface Ricci Flow for Shape Registration and Analysis 1080p | 480p | 240p |
12:00 - 1:00	Ronen Basri (Weizmann Institute of Science) Lambertian model of reflectance I: shape from shading and photometric stereo 1080p | 480p | 240p |
2:30 - 3:30	Ronen Basri (Weizmann Institute of Science) Lambertian model of reflectance II: harmonic analysis 1080p | 480p | 240p |
4:00 - 5:00	David Gu (SUNY Stony Brook) Tutorial on Optimal Mass Transport Theory for Computer Vision 1080p | 480p | 240p |
Friday, August 2, 2013
9:00 - 10:00	Raquel Urtasun (Toyota Technological Institute at Chicago) Gaussian Processes (I) 1080p | 480p | 240p |
10:30 - 11:30	Raquel Urtasun (Toyota Technological Institute at Chicago) Gaussian Processes (II) 1080p | 480p | 240p |
12:00 - 1:00	Anand Rangarajan (University of Florida) New variational approaches in vision 1080p | 480p | 240p |
2:30 - 3:30	Alan Yuille (University of California, Los Angeles (UCLA)) Adaboost and SVM for object detection 1080p | 480p | 240p |
4:00 - 5:00	Raquel Urtasun (Toyota Technological Institute at Chicago) 3D scene understanding with structured models 1080p | 480p | 240p |
Monday, August 5, 2013
9:00 - 10:00	Sparse and Low-Rank Representation Lecture I: Motivation and Theory (with John Wright) Sparse and Low-Rank Representation - Lecture I: Motivation and Theory
10:30 - 11:30	Lecture II: Data Modeling and Applications (with Yi Ma) Lecture II: Data Modeling and Applications
12:00 - 1:00	Yi Ma (Microsoft Research Asia) (with John Wright) Lecture III: Algorithms
2:30 - 3:30	Lieven Vandenberghe (University of California, Los Angeles (UCLA)) Convex optimization Part 1: analysis, basic problem classes, and applications 1080p | 480p | 240p |
4:00 - 5:00	Lieven Vandenberghe (University of California, Los Angeles (UCLA)) Convex Optimization Part 2: first-order algorithms 1080p | 480p | 240p |
Tuesday, August 6, 2013
9:00 - 10:00	Anand Rangarajan (University of Florida) Shape Matching 1080p | 480p | 240p |
10:30 - 11:30	Iasonas Kokkinos (École Centrale de Paris) Statistical Shape Models 1080p | 480p | 240p |
12:00 - 1:00	Fei Sha (University of Southern California (USC)) Dimension Reduction (Part 1)
2:30 - 3:30	Fei Sha (University of Southern California (USC)) Manifold Learning (Part 2)
4:00 - 5:00	John Wright (Columbia University) (with Yi Ma) Session 4: A Bayesian Viewpoint on Concise Signal Models
Wednesday, August 7, 2013
9:00 - 10:00	Deva Ramanan (University of California, Irvine (UCI)) Pictorial Structures 1080p | 480p | 240p |
10:30 - 11:30	Iasonas Kokkinos (École Centrale de Paris) Fast Deformable Part Models detection using Branch-and-Bound 1080p | 480p | 240p |
12:00 - 1:00	Martial Hebert (Carnegie-Mellon University) Object recognition and scene parsing using 3D cues
2:30 - 3:30	Martial Hebert (Carnegie-Mellon University) Unsupervised discovery of category and object models
4:00 - 5:00	Deva Ramanan (University of California, Irvine (UCI)) Latent SVMs 1080p | 480p | 240p |
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) 1080p | 480p | 240p |
10:30 - 11:30	Martial Hebert (Carnegie-Mellon University) Semantic Labeling of Images
12:00 - 1:00	Alan Yuille (University of California, Los Angeles (UCLA)) Compositional Models for Vision 1080p | 480p | 240p |
2:30 - 3:30	Sinisa Todorovic (Oregon State University) Scheduling Cost-Sensitive Inference of AND-OR Graphs for Video Parsing 1080p | 480p | 240p |
4:00 - 5:00	Sinisa Todorovic (Oregon State University) Human activities as Stochastic Kronecker Graphs 1080p | 480p | 240p |
Friday, August 9, 2013
9:00 - 10:00	Don Geman (Johns Hopkins University) Fine-grained Categorization of Botanical Shapes
10:30 - 11:30	Alan Yuille (University of California, Los Angeles (UCLA))   1080p | 480p | 240p |
12:00 - 1:00	Deva Ramanan (University of California, Irvine (UCI)) Future Challenges in Object Recognition 1080p | 480p | 240p |
2:30 - 3:30	Fei Fei Li (Stanford University) Datasets and Challenges
4:00 - 5:00	Don Geman (Johns Hopkins University) A Restricted Turing Test for Computer Vision Systems

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