Graduate Summer School: Computer Vision

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, July 22, 2013
Morning Session
8:00 - 8:45	Check-In/Light Breakfast (Hosted by IPAM)
8:45 - 9:00	Welcome and Opening Remarks
9:00 - 10:00	Alan Yuille (University of California, Los Angeles (UCLA)) What is Vision and Why is it Hard?
10:00 - 10:30	Break
10:30 - 11:30	Iasonas Kokkinos (École Centrale de Paris) Introduction to Linear Image Processing
11:30 - 12:00	Break
12:00 - 1:00	Iasonas Kokkinos (École Centrale de Paris) Introduction to Non-Linear Image Processing
1:00 - 2:30	Lunch (on your own)
Afternoon Session
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
3:30 - 4:00	Break
4:00 - 5:00	Yuri Boykov (University of Western Ontario) Introduction to Image Segmentation: Part 1a
5:00 - 6:30	Reception (Location: IPAM Lobby)
Tuesday, July 23, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Mila Nikolova (École Normale Supérieure de Cachan) Inverse Modelling using Optimization, Part I
10:00 - 10:30	Break
10:30 - 11:30	Yuri Boykov (University of Western Ontario) Introduction to Image Segmentation: Part 1b
11:30 - 12:00	Break
12:00 - 1:00	Mila Nikolova (École Normale Supérieure de Cachan) Inverse Modelling using Optimization, Part II
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Yuri Boykov (University of Western Ontario) Multi-label segmentation and high-order constraints
3:30 - 4:00	Break
4:00 - 5:00	Mila Nikolova (École Normale Supérieure de Cachan) Inverse Modelling using Optimization, Part III
Wednesday, July 24, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	William Freeman (Massachusetts Institute of Technology) Belief propagation and patch-based image analysis
10:00 - 10:30	Break
10:30 - 11:30	William Freeman (Massachusetts Institute of Technology) Computational Photography
11:30 - 12:00	Break
12:00 - 1:00	Jason Corso (SUNY Buffalo) Agglomerative and Hierarchical Grouping and Segmentation in Space and Space-Time
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Yuri Boykov (University of Western Ontario) Model fitting and regularization (discrete optimization approach)
3:30 - 4:00	Break
4:00 - 5:00	Iasonas Kokkinos (École Centrale de Paris) Introduction to Motion Correspondence
Thursday, July 25, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Iasonas Kokkinos (École Centrale de Paris) Interest Point Detectors and Descriptors
10:00 - 10:30	Break
10:30 - 11:30	Jason Corso (SUNY Buffalo) Low-Level Features and Descriptors in Video
11:30 - 12:00	Break
12:00 - 1:00	Ying Nian Wu (University of California, Los Angeles (UCLA)) Sparsity and Active Bases
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Alan Yuille (University of California, Los Angeles (UCLA)) Brief Introduction to Geometry and Vision
3:30 - 4:00	Break
4:00 - 5:00	Jason Corso (SUNY Buffalo) Vision and Language
Friday, July 26, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Richard Szeliski (Microsoft Research) Image Stitching
10:00 - 10:30	Break
10:30 - 11:30	Richard Szeliski (Microsoft Research) Image-based Rendering and Modeling
11:30 - 12:00	Break
12:00 - 1:00	Richard Szeliski (Microsoft Research) Internet-Scale 3D modeling - Rome in a Day
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Alan Yuille (University of California, Los Angeles (UCLA)) How to Write a Good Paper
3:30 - 4:00	Break
4:00 - 5:00	Alan Yuille (University of California, Los Angeles (UCLA)) How to Read a Paper Critically
Monday, July 29, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Daniel Cremers (Technische Universtitat München) Variational Methods and PDE's for Image Analysis
10:00 - 10:30	Break
10:30 - 11:30	Daniel Cremers (Technische Universtitat München) Convex Optimization and Image Segmentation
11:30 - 12:00	Break
Korf Lectures: Moore Hall 100
12:00 - 1:00	Richard Korf (University of California, Los Angeles (UCLA)) Heuristic Search I
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Richard Korf (University of California, Los Angeles (UCLA)) Heuristic Search II
3:30 - 4:00	Break
Yuille Lecture: UCLA Faculty Center
4:00 - 5:00	Alan Yuille (University of California, Los Angeles (UCLA)) Search and Vision
Tuesday, July 30, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Daniel Cremers (Technische Universtitat München) Multiple View Reconstruction
10:00 - 10:30	Break
10:30 - 11:30	Daniel Cremers (Technische Universtitat München) Optical Flow and Dense Correspondence
11:30 - 12:00	Break
12:00 - 1:00	Rob Fergus (New York University) An Introduction to Deep Learning for Vision
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Rob Fergus (New York University) Training Large Convolutional Neural Network Models for Image Classification
3:30 - 4:00	Break
4:00 - 5:00	Rob Fergus (New York University) Deconvolutional Networks
Wednesday, July 31, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Stanley Osher (University of California, Los Angeles (UCLA)) Level Sets and TV-norms
10:00 - 10:30	Break
10:30 - 11:30	Stanley Osher (University of California, Los Angeles (UCLA)) Split-Bregman
11:30 - 12:00	Break
12:00 - 1:00	Ying Nian Wu (University of California, Los Angeles (UCLA)) Introduction to Information Theory for Vision
1:00 - 2:30	Lunch (on your own)
Afternoon Session
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
3:30 - 4:00	Break
4:00 - 5:00	Bruno Jedynak (Johns Hopkins University) 20Q for Fast face detection, micro-surgical tool tracking and electron microscopy
Thursday, August 1, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	David Gu (SUNY Stony Brook) Tutorial on Conformal Geometry for Computer Vision
10:00 - 10:30	Break
10:30 - 11:30	David Gu (SUNY Stony Brook) Tutorial on Surface Ricci Flow for Shape Registration and Analysis
11:30 - 12:00	Break
12:00 - 1:00	Ronen Basri (Weizmann Institute of Science) Lambertian model of reflectance I: shape from shading and photometric stereo
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Ronen Basri (Weizmann Institute of Science) Lambertian model of reflectance II: harmonic analysis
3:30 - 4:00	Break
4:00 - 5:00	David Gu (SUNY Stony Brook) Tutorial on Optimal Mass Transport Theory for Computer Vision
Friday, August 2, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Raquel Urtasun (Toyota Technological Institute at Chicago) Gaussian Processes (I)
10:00 - 10:30	Break
10:30 - 11:30	Raquel Urtasun (Toyota Technological Institute at Chicago) Gaussian Processes (II)
11:30 - 12:00	Break
12:00 - 1:00	Anand Rangarajan (University of Florida) New variational approaches in vision
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Alan Yuille (University of California, Los Angeles (UCLA)) Adaboost and SVM for object detection
3:30 - 4:00	Break
4:00 - 5:00	Raquel Urtasun (Toyota Technological Institute at Chicago) 3D scene understanding with structured models
Monday, August 5, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
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
10:00 - 10:30	Break
10:30 - 11:30	Lecture II: Data Modeling and Applications (with Yi Ma) Lecture II: Data Modeling and Applications
11:30 - 12:00	Break
12:00 - 1:00	Yi Ma (Microsoft Research Asia) (with John Wright) Lecture III: Algorithms
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Lieven Vandenberghe (University of California, Los Angeles (UCLA)) Convex optimization Part 1: analysis, basic problem classes, and applications
3:30 - 4:00	Break
4:00 - 5:00	Lieven Vandenberghe (University of California, Los Angeles (UCLA)) Convex Optimization Part 2: first-order algorithms
Tuesday, August 6, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Anand Rangarajan (University of Florida) Shape Matching
10:00 - 10:30	Break
10:30 - 11:30	Iasonas Kokkinos (École Centrale de Paris) Statistical Shape Models
11:30 - 12:00	Break
12:00 - 1:00	Fei Sha (University of Southern California (USC)) Dimension Reduction (Part 1)
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Fei Sha (University of Southern California (USC)) Manifold Learning (Part 2)
3:30 - 4:00	Break
4:00 - 5:00	John Wright (Columbia University) (with Yi Ma) Session 4: A Bayesian Viewpoint on Concise Signal Models
Wednesday, August 7, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Deva Ramanan (University of California, Irvine (UCI)) Pictorial Structures
10:00 - 10:30	Break
10:30 - 11:30	Iasonas Kokkinos (École Centrale de Paris) Fast Deformable Part Models detection using Branch-and-Bound
11:30 - 12:00	Break
12:00 - 1:00	Martial Hebert (Carnegie-Mellon University) Object recognition and scene parsing using 3D cues
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Martial Hebert (Carnegie-Mellon University) Unsupervised discovery of category and object models
3:30 - 4:00	Break
4:00 - 5:00	Deva Ramanan (University of California, Irvine (UCI)) Latent SVMs
Thursday, August 8, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Deva Ramanan (University of California, Irvine (UCI)) Temporal models for action recognition (HMMs, semi-markov models, CFGs)
10:00 - 10:30	Break
10:30 - 11:30	Martial Hebert (Carnegie-Mellon University) Semantic Labeling of Images
11:30 - 12:00	Break
12:00 - 1:00	Alan Yuille (University of California, Los Angeles (UCLA)) Compositional Models for Vision
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Sinisa Todorovic (Oregon State University) Scheduling Cost-Sensitive Inference of AND-OR Graphs for Video Parsing
3:30 - 4:00	Break
4:00 - 5:00	Sinisa Todorovic (Oregon State University) Human activities as Stochastic Kronecker Graphs
Friday, August 9, 2013
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Don Geman (Johns Hopkins University) Fine-grained Categorization of Botanical Shapes
10:00 - 10:30	Break
10:30 - 11:30	Alan Yuille (University of California, Los Angeles (UCLA))
11:30 - 12:00	Break
12:00 - 1:00	Deva Ramanan (University of California, Irvine (UCI)) Future Challenges in Object Recognition
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Fei Fei Li (Stanford University) Datasets and Challenges
3:30 - 4:00	Break
4:00 - 5:00	Don Geman (Johns Hopkins University) A Restricted Turing Test for Computer Vision Systems

Summer Schools

Graduate Summer School: Computer Vision

Schedule

Monday, July 22, 2013

Morning Session

Afternoon Session

Tuesday, July 23, 2013

Morning Session

Afternoon Session

Wednesday, July 24, 2013

Morning Session

Afternoon Session

Thursday, July 25, 2013

Morning Session

Afternoon Session

Friday, July 26, 2013

Morning Session

Afternoon Session

Monday, July 29, 2013

Morning Session

Korf Lectures: Moore Hall 100

Afternoon Session

Yuille Lecture: UCLA Faculty Center

Tuesday, July 30, 2013

Morning Session

Afternoon Session

Wednesday, July 31, 2013

Morning Session

Afternoon Session

Thursday, August 1, 2013

Morning Session

Afternoon Session

Friday, August 2, 2013

Morning Session

Afternoon Session

Monday, August 5, 2013

Morning Session

Afternoon Session

Tuesday, August 6, 2013

Morning Session

Afternoon Session

Wednesday, August 7, 2013

Morning Session

Afternoon Session

Thursday, August 8, 2013

Morning Session

Afternoon Session

Friday, August 9, 2013

Morning Session

Afternoon Session

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