Graduate Summer School: Computer Vision

July 22 - August 9, 2013

Schedule


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)

 
10:30 - 11:30
Iasonas Kokkinos (École Centrale de Paris)

Introduction to Linear Image Processing
PDF Presentation

 
12:00 - 1:00
Iasonas Kokkinos (École Centrale de Paris)

Introduction to Non-Linear Image Processing
PDF Presentation

 
2:30 - 3:30
4:00 - 5:00
Yuri Boykov (University of Western Ontario)

Introduction to Image Segmentation: Part 1a
PDF Presentation

 

Tuesday, July 23, 2013

9:00 - 10:00
Mila Nikolova (École Normale Supérieure de Cachan)

Inverse Modelling using Optimization, Part I
PDF Presentation

 
10:30 - 11:30
Yuri Boykov (University of Western Ontario)

Introduction to Image Segmentation: Part 1b
PDF Presentation

 
12:00 - 1:00
Mila Nikolova (École Normale Supérieure de Cachan)

Inverse Modelling using Optimization, Part II
PDF Presentation

 
2:30 - 3:30
Yuri Boykov (University of Western Ontario)

Multi-label segmentation and high-order constraints
PDF Presentation

 
4:00 - 5:00
Mila Nikolova (École Normale Supérieure de Cachan)

Inverse Modelling using Optimization, Part III
PDF Presentation

 

Wednesday, July 24, 2013

9:00 - 10:00
William Freeman (Massachusetts Institute of Technology)

Belief propagation and patch-based image analysis
PDF Presentation

 
10:30 - 11:30
William Freeman (Massachusetts Institute of Technology)

Computational Photography
PDF Presentation

 
12:00 - 1:00
2:30 - 3:30
 
4:00 - 5:00
Iasonas Kokkinos (École Centrale de Paris)

Introduction to Motion Correspondence
PDF Presentation

 

Thursday, July 25, 2013

9:00 - 10:00
Iasonas Kokkinos (École Centrale de Paris)

Interest Point Detectors and Descriptors
PDF Presentation

 
10:30 - 11:30
12:00 - 1:00
Ying Nian Wu (University of California, Los Angeles (UCLA))

Sparsity and Active Bases
Presentation (PowerPoint File)

 
2:30 - 3:30
Alan Yuille (University of California, Los Angeles (UCLA))

Brief Introduction to Geometry and Vision
Presentation (PowerPoint File)

 
4:00 - 5:00
Jason Corso (SUNY Buffalo)

Vision and Language
Presentation (PowerPoint File)

 

Friday, July 26, 2013

9:00 - 10:00
Richard Szeliski (Microsoft Research)

Image Stitching
PDF Presentation

 
10:30 - 11:30
Richard Szeliski (Microsoft Research)

Image-based Rendering and Modeling
PDF Presentation

 
12:00 - 1:00
Richard Szeliski (Microsoft Research)

Internet-Scale 3D modeling - Rome in a Day

 
2:30 - 3:30
Alan Yuille (University of California, Los Angeles (UCLA))

How to Write a Good Paper

 
4:00 - 5:00
Alan Yuille (University of California, Los Angeles (UCLA))

How to Read a Paper Critically

 

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)

 
10:30 - 11:30
Daniel Cremers (Technische Universtitat München)

Convex Optimization and Image Segmentation
PDF Presentation

 
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

 

Tuesday, July 30, 2013

9:00 - 10:00
Daniel Cremers (Technische Universtitat München)

Multiple View Reconstruction
PDF Presentation

 
10:30 - 11:30
Daniel Cremers (Technische Universtitat München)

Optical Flow and Dense Correspondence
PDF Presentation

 
12:00 - 1:00
Rob Fergus (New York University)

An Introduction to Deep Learning for Vision
PDF Presentation

 
2:30 - 3:30
4:00 - 5:00
Rob Fergus (New York University)

Deconvolutional Networks
PDF Presentation

 

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))

Introduction to Information Theory for Vision
PDF Presentation

 
2:30 - 3:30
4:00 - 5:00

Thursday, August 1, 2013

9:00 - 10:00
10:30 - 11:30
12:00 - 1:00
2:30 - 3:30
Ronen Basri (Weizmann Institute of Science)

Lambertian model of reflectance II: harmonic analysis
PDF Presentation

 
4:00 - 5:00

Friday, August 2, 2013

9:00 - 10:00
Raquel Urtasun (Toyota Technological Institute at Chicago)

Gaussian Processes (I)
PDF Presentation

 
10:30 - 11:30
Raquel Urtasun (Toyota Technological Institute at Chicago)

Gaussian Processes (II)
PDF Presentation

 
12:00 - 1:00
Anand Rangarajan (University of Florida)

New variational approaches in vision
PDF Presentation

 
2:30 - 3:30
Alan Yuille (University of California, Los Angeles (UCLA))

Adaboost and SVM for object detection
PDF Presentation

 
4:00 - 5:00
Raquel Urtasun (Toyota Technological Institute at Chicago)

3D scene understanding with structured models
PDF Presentation

 

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
PDF Presentation

10:30 - 11:30
Lecture II: Data Modeling and Applications

(with Yi Ma) Lecture II: Data Modeling and Applications
PDF Presentation

12:00 - 1:00
Yi Ma (Microsoft Research Asia)

(with John Wright) Lecture III: Algorithms
PDF Presentation

2:30 - 3:30
Lieven Vandenberghe (University of California, Los Angeles (UCLA))

Convex optimization Part 1: analysis, basic problem classes, and applications
PDF Presentation

 
4:00 - 5:00
Lieven Vandenberghe (University of California, Los Angeles (UCLA))

Convex Optimization Part 2: first-order algorithms
PDF Presentation

 

Tuesday, August 6, 2013

9:00 - 10:00
Anand Rangarajan (University of Florida)

Shape Matching
PDF Presentation

 
10:30 - 11:30
Iasonas Kokkinos (École Centrale de Paris)

Statistical Shape Models
PDF Presentation

 
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

Wednesday, August 7, 2013

9:00 - 10:00
Deva Ramanan (University of California, Irvine (UCI))

Pictorial Structures
PDF Presentation

 
10:30 - 11:30
Iasonas Kokkinos (École Centrale de Paris)

Fast Deformable Part Models detection using Branch-and-Bound
PDF Presentation

 
12:00 - 1:00
Martial Hebert (Carnegie-Mellon University)

Object recognition and scene parsing using 3D cues
PDF Presentation

2:30 - 3:30
Martial Hebert (Carnegie-Mellon University)

Unsupervised discovery of category and object models
PDF Presentation

4:00 - 5:00
Deva Ramanan (University of California, Irvine (UCI))

Latent SVMs
PDF Presentation

 

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

 
10:30 - 11:30
Martial Hebert (Carnegie-Mellon University)

Semantic Labeling of Images
PDF Presentation

12:00 - 1:00
Alan Yuille (University of California, Los Angeles (UCLA))

Compositional Models for Vision
PDF Presentation

 
2:30 - 3:30
4:00 - 5:00
Sinisa Todorovic (Oregon State University)

Human activities as Stochastic Kronecker Graphs
Presentation (PowerPoint File)

 

Friday, August 9, 2013

9:00 - 10:00
Don Geman (Johns Hopkins University)

Fine-grained Categorization of Botanical Shapes
PDF Presentation

10:30 - 11:30
Alan Yuille (University of California, Los Angeles (UCLA))

 

 
12:00 - 1:00
Deva Ramanan (University of California, Irvine (UCI))

Future Challenges in Object Recognition
PDF Presentation

 
2:30 - 3:30
Fei Fei Li (Stanford University)

Datasets and Challenges
PDF Presentation

4:00 - 5:00
Don Geman (Johns Hopkins University)

A Restricted Turing Test for Computer Vision Systems