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

Introduction to Linear Image Processing
PDF Presentation
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12:00 - 1:00 Iasonas Kokkinos (École Centrale de Paris)

Introduction to Non-Linear Image Processing
PDF Presentation
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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
Presentation (PowerPoint File)
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4:00 - 5:00 Yuri Boykov (University of Western Ontario)

Introduction to Image Segmentation: Part 1a
PDF Presentation
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Tuesday, July 23, 2013

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

Inverse Modelling using Optimization, Part I
PDF Presentation
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10:30 - 11:30 Yuri Boykov (University of Western Ontario)

Introduction to Image Segmentation: Part 1b
PDF Presentation
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12:00 - 1:00 Mila Nikolova (École Normale Supérieure de Cachan)

Inverse Modelling using Optimization, Part II
PDF Presentation
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2:30 - 3:30 Yuri Boykov (University of Western Ontario)

Multi-label segmentation and high-order constraints
PDF Presentation
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4:00 - 5:00 Mila Nikolova (École Normale Supérieure de Cachan)

Inverse Modelling using Optimization, Part III
PDF Presentation
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Wednesday, July 24, 2013

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

Belief propagation and patch-based image analysis
PDF Presentation
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10:30 - 11:30 William Freeman (Massachusetts Institute of Technology)

Computational Photography
PDF Presentation
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12:00 - 1:00 Jason Corso (SUNY Buffalo)

Agglomerative and Hierarchical Grouping and Segmentation in Space and Space-Time
Presentation (PowerPoint File)
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2:30 - 3:30 Yuri Boykov (University of Western Ontario)

Model fitting and regularization (discrete optimization approach)
PDF Presentation
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4:00 - 5:00 Iasonas Kokkinos (École Centrale de Paris)

Introduction to Motion Correspondence
PDF Presentation
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Thursday, July 25, 2013

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

Interest Point Detectors and Descriptors
PDF Presentation
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10:30 - 11:30 Jason Corso (SUNY Buffalo)

Low-Level Features and Descriptors in Video
Presentation (PowerPoint File)
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12:00 - 1:00 Ying Nian Wu (University of California, Los Angeles (UCLA))

Sparsity and Active Bases
Presentation (PowerPoint File)
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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)

Vision and Language
Presentation (PowerPoint File)
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Friday, July 26, 2013

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

Image Stitching
PDF Presentation
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10:30 - 11:30 Richard Szeliski (Microsoft Research)

Image-based Rendering and Modeling
PDF Presentation
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12:00 - 1:00 Richard Szeliski (Microsoft Research)

Internet-Scale 3D modeling - Rome in a Day
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2:30 - 3:30 Alan Yuille (University of California, Los Angeles (UCLA))

How to Write a Good Paper
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4:00 - 5:00 Alan Yuille (University of California, Los Angeles (UCLA))

How to Read a Paper Critically
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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)

An Introduction to Deep Learning for Vision
PDF Presentation
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2:30 - 3:30 Rob Fergus (New York University)

Training Large Convolutional Neural Network Models for Image Classification
PDF Presentation
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4:00 - 5:00 Rob Fergus (New York University)

Deconvolutional Networks
PDF Presentation
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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
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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
PDF Presentation
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4:00 - 5:00 Bruno Jedynak (Johns Hopkins University)

20Q for Fast face detection, micro-surgical tool tracking and electron microscopy
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Thursday, August 1, 2013

9:00 - 10:00 David Gu (SUNY Stony Brook)

Tutorial on Conformal Geometry for Computer Vision
PDF Presentation
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10:30 - 11:30 David Gu (SUNY Stony Brook)

Tutorial on Surface Ricci Flow for Shape Registration and Analysis
PDF Presentation
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12:00 - 1:00 Ronen Basri (Weizmann Institute of Science)

Lambertian model of reflectance I: shape from shading and photometric stereo
PDF Presentation
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2:30 - 3:30 Ronen Basri (Weizmann Institute of Science)

Lambertian model of reflectance II: harmonic analysis
PDF Presentation
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4:00 - 5:00 David Gu (SUNY Stony Brook)

Tutorial on Optimal Mass Transport Theory for Computer Vision
PDF Presentation
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Friday, August 2, 2013

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

Gaussian Processes (I)
PDF Presentation
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10:30 - 11:30 Raquel Urtasun (Toyota Technological Institute at Chicago)

Gaussian Processes (II)
PDF Presentation
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12:00 - 1:00 Anand Rangarajan (University of Florida)

New variational approaches in vision
PDF Presentation
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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)

3D scene understanding with structured models
PDF Presentation
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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
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4:00 - 5:00 Lieven Vandenberghe (University of California, Los Angeles (UCLA))

Convex Optimization Part 2: first-order algorithms
PDF Presentation
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Tuesday, August 6, 2013

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

Shape Matching
PDF Presentation
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10:30 - 11:30 Iasonas Kokkinos (École Centrale de Paris)

Statistical Shape Models
PDF Presentation
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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)

(with Yi Ma) Session 4: A Bayesian Viewpoint on Concise Signal Models
Presentation (PowerPoint File)


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)

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

Semantic Labeling of Images
PDF Presentation

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)

Scheduling Cost-Sensitive Inference of AND-OR Graphs for Video Parsing
Presentation (PowerPoint File)
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4:00 - 5:00 Sinisa Todorovic (Oregon State University)

Human activities as Stochastic Kronecker Graphs
Presentation (PowerPoint File)
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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))

 
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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)

A Restricted Turing Test for Computer Vision Systems