Computer Vision Reading Group

Time and location

Mon. 14:00-16:00,  Faculty  room (141)

Organizer: Oren Boiman

Next Meetings

May 5, 2008 : Small Codes and Large Image Databases for Recognition

Papers:

1. Small Codes and Large Image Databases for Recognition  (Torralba, Fergus, Weiss CVPR 08 )

2.  80 million tiny images: a large dataset for non-parametric object and scene recognition (Torralbe, Fergus, Freeman)

Previous Meetings

January 9, 2008 : Scene Completion Using Millions of Photographs

Papers:

1. Scene Completion Using Millions of Photographs (Hays, Efros, SIGRAPH 07 )

2. Project page: http://graphics.cs.cmu.edu/projects/scene-completion/

November 7, 2007 : ICCV 2007 Overview (by Alex Rav-Acha)

October 24, 2007 : Image Classification using SVMs and Random Forests

Papers:

1. Representing shape with a spatial pyramid kernel (Bosch, Zisserman, Munos, CIVR 07 )

2. Image Classification using Random Forests and Ferns (Bosch, Zisserman, Munos, ICCV 07)

July 25, 2007 : CVPR 2007 Overview (by Sharon Alpert)

July 3, 2007 : Efficient Belief Propagation with large cliques

Papers:

1. Efficient Belief Propagation for Vision Using Linear Constraint Nodes (Potetz, CVPR 2007)

Slides:

1. Efficient Belief Propagation for Vision Using Linear Constraint Nodes (Potetz, CVPR 2007)

January 31, 2007 : Energy Based Learning

Papers:

1. Energy Based Learning Tutorial (Lecun et al, 2006)

January 10, 2007 : NIPS 2006 Overview (by Oren Boiman)

September 18, 2006 : SIGGRAPH 2006 Overview (by Yaron Caspi) + Locally Adapted Hierarchical Basis Preconditioning

Papers:

1. Locally Adapted Hierarchical Basis Preconditioning - (Szeliski, SIGGRAPH 2006)
    

September 11, 2006 : Algebraic Multigrid Tutorial

Papers:

1. A Multigrid Tutorial - Chapter 8, (Briggs, Henson, McCormick)
   Book + photocopies are available in my office

September 4, 2006 : Multigrid Tutorial

Papers:

1. A Multigrid Tutorial - Chapter 5, (Briggs, Henson, McCormick)
   Book + photocopies are available in my office

July 31, 2006 : Multigrid Tutorial

Papers:

1. A Multigrid Tutorial - Chapters 1-3, (Briggs, Henson, McCormick)
   Book + photocopies are available in my office

July 17, 2006 : Variational Approximation Methods

Papers:

1. A Tutorial on Variational Approximation Methods ,(Jaakola)

July 3, 2006 : Layout Consistent Random Field

Papers:

1. The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects , CVPR 06 (Winn, Shotton)

May 9, 2006 :  OBJ CUT

Note unusual day

Papers:

1. OBJ CUT (Kumar, Torr, Zisserman)

Additional paper for reference:

1. Extending Pictorial Structures for Object Recognition (Kumar, Torr, Zisserman)

March 27, 2006 :  Conditional Random Fields

Papers:

1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (Lafferty, McCallum, Pereira)

2. Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification (Kumar, Herbert)

January 25, 2006 :  Multiple View Geometry

Presentation:

1. Multiple View Geometry Tutorial  (Hartely, Zisserman)

January 4, 2006 :  Model Selection and Minimum Description Length

Papers:

1. MDL tutorial (only Chapter 2) (Grunwald)
2. Model Selection criteria in computer vision: Are they different ? (Gheissari, Bab-Hadiashar)

December 21, 2005 :  Beltrami Framework for Low Level Vision

Papers:

1. Geometric Filters, Diffusion Flows and Kernels in Image Processing (Kimmel,Sochen,Spira)

Additional Papers:

1. Images as Embedded Maps and Minimal Surfaces (Kimmel, Malladi, Sochen)
2. A General Framework for Low Level Vision (Sochen, Kimmel, Malladi)

November 30, 2005 : Nonlinear manifolds in Pattern Recognition and Image Analysis

Presentation:

1. Nonlinear Manifolds Tutorial (Liu, Srivastava, Mio)

November 16, 2005 :  Image Matting & Segmentation

Papers:

1. Poisson Matting (Shum et al)

2. GrabCut (Rother, Kolmogorov, Blake)
3. Lazy Snap (Shum et al)

Additional Papers:

1. An Iterative Optimization Approach for Unified Image Segmentation and Matting ( Wang, Cohen)

November 2, 2005 : Fields of Experts

Papers:

1. Fields of Experts: A Framework for Learning Image Priors (Roth, Black)

October 26, 2005 : Relevance Vector Machines

Papers:

1. The Relevance Vector Machine (Tipping from NIPS)
2. Sparse Bayesian Learning and the Relevance Vector Machine  (Tipping. Extended version)

Presentation:

    Nicholas Apostoloff  slides from the oxford reading group

Background:

   slides on Kernel Based Methods (by Lena Gorelick & Jason Friedman)

September 7, 2005 : Energy minimization

Papers:

1. Fast Approximate Energy Minimization via Graph Cuts (Boykov, Veksler, Zabih)

August 24, 2005 : Image Registration

Papers:

1. About direct methods (Irani, Anandan)
2. Feature Based Methods for Struction and Motion estimation (Torr, Zisserman)

Additional Papers:

1. Alignment by Maximization of Mutual Information (Viola, Wells)

August 10, 2005 : Level Set Methods Applications

Papers:

1. Level set methods and fast marching methods, Chapters 16,17 (Sethian)

July 27, 2005 : Level Set Methods

Papers:

1. Geometric Level Set Methods in Imaging, Vision and Graphics, Chapter 1 (Osher & Paragios eds.)
2. Level set methods and their applications in Image Science, ( Tsai, Osher).
3. Level set methods and fast marching methods, Chapter 1 (Sethian)
4. Level set methods (Sethian,popular paper from 'American Scientist')
5. Level set tutorial presentation  (Paragios)
    

July 13, 2005 : Combined Object Categorization and Segmentation

Papers:

1. Combined Object Categorization and Segmentation with an Implicit Shape Model (Leibe, Leonardis, Schiele in ECCV 04)
2. Pedestrian Detection in Crowded Scenes (Leibe, Seeman, Schiele in CVPR 05)

July 6, 2005 : Diffusion

PDE Background: Joachim Weickert's Differential Equations in Image Processing and Computer Vision, lectures 1-6 (all scientific slides are in English).
 

Papers:

1. Scale Space and Edge Detection Using Anisotropic Diffusion (Perona and Malik).
2. A review of Nonlinear Diffusion Filtering (Joachim Weickert).

June 29, 2005 : Normalized Cuts and Image Segmentation

Papers:

1. Normalized Cuts and Image Segmentation (Shi, Malik)

June 1, 2005 : Pictorial Structures

Papers:

1. Pictorial Structures for Object Recognition (Felzenswalb, Huttenlocher)

Apr. 20, 2005 : Kernel-Based Object Tracking

Papers:

1. Kernel-Based Object Tracking (Comaniciu, Ramesh, Meer)

Apr. 6, 2005 : CONDENSATION - conditional density propagation for visual tracking

Papers:

1. Condensation (Isard, Blake)

Mar. 23, 2005 : Spectral Clustering

Papers:

1. On Spectral Clustering: Analysis and an Algorithm (Ng, Jordan, Weiss)

Feb. 16, 2005 : Learning Flexible Sprites in video layers

Papers:

1. Learning flexible sprites in video layers (Jojic, Frey)

Feb. 2, 2005 : Introduction to probabilistic graphical models - cont.

Papers:

1. Probabilistic inference in graphical models (Jordan,Weiss) - cont.
2. Belief propogation (Freeman,Weiss)

Additional papers:

1. Learning with graphical models (Buntine)

Jan. 19, 2005 : Introduction to probabilistic graphical models

Papers:

1. Probabilistic inference in graphical models (Jordan,Weiss)

Additional papers:

1. Belief propogation (Freeman,Weiss)
2. Learning with graphical models (Buntine)

Jan. 5, 2005 : Tensor Voting

Papers:

1. tensor_voting.pdf (Medioni et al).

Back to Oren Boiman's Home Page

Links

1. HUJI computer vision reading group
2. Oxford computer vision reading group
3. CMU computer vision misc reading group
4. Berkeley computer vision / robotics / tele-immersion reading group
5. Cornell machine learning reading group
6. Toronto machine learning journal club
7. Toronto machine learning reading group
8. Columbia machine learning reading group
9. MIT machine learning reading group