Graduate Summer School: Computer Vision - IPAM

Graduate Summer School: Computer Vision

July 22 - August 9, 2013

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, July 22, 2013

Morning Session

08:00-08:45
Check-In/Light Breakfast (Hosted by IPAM)
08:45-09:00
Welcome and Opening Remarks
09:00-10:00
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

Afternoon Session

12:00-13:00
Iasonas Kokkinos (École Centrale de Paris)
Introduction to Non-Linear Image Processing
13:00-14:30
Lunch (on your own)
14:30-15:30
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
15:30-16:00
Break
16:00-17:00
Yuri Boykov (University of Western Ontario)
Introduction to Image Segmentation: Part 1a
17:00-18:30
Reception (Location: IPAM Lobby)

Tuesday, July 23, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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

Afternoon Session

12:00-13:00
Mila Nikolova (École Normale Supérieure de Cachan)
Inverse Modelling using Optimization, Part II
13:00-14:30
Lunch (on your own)
14:30-15:30
Yuri Boykov (University of Western Ontario)
Multi-label segmentation and high-order constraints
15:30-16:00
Break
16:00-17:00
Mila Nikolova (École Normale Supérieure de Cachan)
Inverse Modelling using Optimization, Part III

Wednesday, July 24, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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

Afternoon Session

12:00-13:00
Jason Corso (SUNY Buffalo)
Agglomerative and Hierarchical Grouping and Segmentation in Space and Space-Time
13:00-14:30
Lunch (on your own)
14:30-15:30
Yuri Boykov (University of Western Ontario)
Model fitting and regularization (discrete optimization approach)
15:30-16:00
Break
16:00-17:00
Iasonas Kokkinos (École Centrale de Paris)
Introduction to Motion Correspondence

Thursday, July 25, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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

Afternoon Session

12:00-13:00
Ying Nian Wu (University of California, Los Angeles (UCLA))
Sparsity and Active Bases
13:00-14:30
Lunch (on your own)
14:30-15:30
Alan Yuille (University of California, Los Angeles (UCLA))
Brief Introduction to Geometry and Vision
15:30-16:00
Break
16:00-17:00
Jason Corso (SUNY Buffalo)
Vision and Language

Friday, July 26, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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

Afternoon Session

12:00-13:00
Richard Szeliski (Microsoft Research)
Internet-Scale 3D modeling - Rome in a Day
13:00-14:30
Lunch (on your own)
14:30-15:30
Alan Yuille (University of California, Los Angeles (UCLA))
How to Write a Good Paper
15:30-16:00
Break
16:00-17:00
Alan Yuille (University of California, Los Angeles (UCLA))
How to Read a Paper Critically

Monday, July 29, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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

Afternoon Session

12:00-13:00
Richard Korf (University of California, Los Angeles (UCLA))
Heuristic Search I
13:00-14:30
Lunch (on your own)
14:30-15:30
Richard Korf (University of California, Los Angeles (UCLA))
Heuristic Search II
15:30-16:00
Break
Yuille Lecture: UCLA Faculty Center
16:00-17:00
Alan Yuille (University of California, Los Angeles (UCLA))
Search and Vision

Tuesday, July 30, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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

Afternoon Session

12:00-13:00
Rob Fergus (New York University)
An Introduction to Deep Learning for Vision
13:00-14:30
Lunch (on your own)
14:30-15:30
Rob Fergus (New York University)
Training Large Convolutional Neural Network Models for Image Classification
15:30-16:00
Break
16:00-17:00
Rob Fergus (New York University)
Deconvolutional Networks

Wednesday, July 31, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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

Afternoon Session

12:00-13:00
Ying Nian Wu (University of California, Los Angeles (UCLA))
Introduction to Information Theory for Vision
13:00-14:30
Lunch (on your own)
14:30-15:30
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
15:30-16:00
Break
16:00-17:00
Bruno Jedynak (Johns Hopkins University)
20Q for Fast face detection, micro-surgical tool tracking and electron microscopy

Thursday, August 1, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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

Afternoon Session

12:00-13:00
Ronen Basri (Weizmann Institute of Science)
Lambertian model of reflectance I: shape from shading and photometric stereo
13:00-14:30
Lunch (on your own)
14:30-15:30
Ronen Basri (Weizmann Institute of Science)
Lambertian model of reflectance II: harmonic analysis
15:30-16:00
Break
16:00-17:00
David Gu (SUNY Stony Brook)
Tutorial on Optimal Mass Transport Theory for Computer Vision

Friday, August 2, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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

Afternoon Session

12:00-13:00
Anand Rangarajan (University of Florida)
New variational approaches in vision
13:00-14:30
Lunch (on your own)
14:30-15:30
Alan Yuille (University of California, Los Angeles (UCLA))
Adaboost and SVM for object detection
15:30-16:00
Break
16:00-17:00
Raquel Urtasun (Toyota Technological Institute at Chicago)
3D scene understanding with structured models

Monday, August 5, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Yi Ma (Microsoft Research Asia)
(with John Wright) Sparse and Low-Rank Representation - Lecture I: Motivation and Theory
10:00-10:30
Break
10:30-11:30
John Wright (Columbia University)
(with Yi Ma) Lecture II: Data Modeling and Applications
11:30-12:00
Break

Afternoon Session

12:00-13:00
Yi Ma (Microsoft Research Asia)
(with John Wright) Lecture III: Algorithms
13:00-14:30
Lunch (on your own)
14:30-15:30
Lieven Vandenberghe (University of California, Los Angeles (UCLA))
Convex optimization Part 1: analysis, basic problem classes, and applications
15:30-16:00
Break
16:00-17:00
Lieven Vandenberghe (University of California, Los Angeles (UCLA))
Convex Optimization Part 2: first-order algorithms

Tuesday, August 6, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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

Afternoon Session

12:00-13:00
Fei Sha (University of Southern California (USC))
Dimension Reduction (Part 1)
13:00-14:30
Lunch (on your own)
14:30-15:30
Fei Sha (University of Southern California (USC))
Manifold Learning (Part 2)
15:30-16:00
Break
16:00-17:00
John Wright (Columbia University)
(with Yi Ma) Session 4: A Bayesian Viewpoint on Concise Signal Models

Wednesday, August 7, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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

Afternoon Session

12:00-13:00
Martial Hebert (Carnegie-Mellon University)
Object recognition and scene parsing using 3D cues
13:00-14:30
Lunch (on your own)
14:30-15:30
Martial Hebert (Carnegie-Mellon University)
Unsupervised discovery of category and object models
15:30-16:00
Break
16:00-17:00
Deva Ramanan (University of California, Irvine (UCI))
Latent SVMs

Thursday, August 8, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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

Afternoon Session

12:00-13:00
Alan Yuille (University of California, Los Angeles (UCLA))
Compositional Models for Vision
13:00-14:30
Lunch (on your own)
14:30-15:30
Sinisa Todorovic (Oregon State University)
Scheduling Cost-Sensitive Inference of AND-OR Graphs for Video Parsing
15:30-16:00
Break
16:00-17:00
Sinisa Todorovic (Oregon State University)
Human activities as Stochastic Kronecker Graphs

Friday, August 9, 2013

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
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))
Title not available
11:30-12:00
Break

Afternoon Session

12:00-13:00
Deva Ramanan (University of California, Irvine (UCI))
Future Challenges in Object Recognition
13:00-14:30
Lunch (on your own)
14:30-15:30
Fei Fei Li (Stanford University)
Datasets and Challenges
15:30-16:00
Break
16:00-17:00
Don Geman (Johns Hopkins University)
A Restricted Turing Test for Computer Vision Systems
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