CSE590V: Computer Vision Seminar

Autumn 2007, Mondays 3.30pm CSE403

Faculty:

Brian Curless (curless@cs.washington.edu)
Steve Seitz (seitz@cs.washington.edu)
Linda Shapiro (shapiro@cs.washington.edu)

Organizers:

Sameer Agarwala (sagarwal@cs.washington.edu)
Indriyati Atmosukarto(indria@cs.washington.edu)

Mailing list:

Please join the cse590v mailing list for important announcements.

Course Description

We are introducing a new computer vision seminar this quarter.This reading and discussion seminar will explore the state of the art and recent research in the computer vision community. We will focus on papers from recent computer vision conferences.

Participants will contribute to leading discussions and reviewing papers.

Course format

1. The paper discussion will be in three parts.

a) A presentation of the main technical points of the paper by the people leading the discussion.

b) We will break up into 3-4 subgroups to discuss the questions raised by the paper. A list of questions for discussion will be distributed.

c) We will get back together and each group will talk about their answers to the questions.

2. The reviews are due midnight wednesday instead of saturday. This is so that the presenters have more time to prepare the presentation for the class while taking the reviews into consideration. Email your reviews to Indri and Sameer.

3. The group presenting the paper should prepare the presentation and meet with either Indri, Sameer or Eli (to be decided before hand for each paper) and discuss the paper and the presentation. This will be on thursdays at a time that can be mutually agreed on.

4. Both the reviewers and presenters of the paper have to come up with questions for discussion in the class. These questions will be printed and distributed during the class.

Schedule

Date	Paper	Presenters	Reviewers (review form)	Thursday meeting with
10/01/2007	Organizational meeting
10/08/2007	Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification Andrea Frome, Yoram Singer, Fei Sha, Jitendra Malik, ICCV 2007 (PPT slides)	Noah Colin	Suporn (review) Brandon (review) Due: 10/03/07	Sameer & Indri on 10/04/07
10/15/2007	Inferring temporal order of images from 3D structure G. Schindler, F. Dellaert, S.B. Kang, CVPR 2007 (PPT slides)	Ankit Lynn	Rahul (review) Kathleen (review) Due: 10/10/07	Indri on 10/11/07
10/22/2007	Learning the Discriminative Power-Invariance Trade-Off, Manik Varma, Debajyoti Ray, ICCV 2007 (PPT slides) Background reading: More Efficiency in Multiple Kernel Learning, A. Rakotomamonjy, F. R. Bach, S. Canu, Y. Grandvalet, ICML 2007	Suporn Evan	Alex (review) Lynn (review) Due: 10/17/07	Eli on 10/18/07
10/29/2007	Learning Visual Similarity Measures for Comparing Never Seen Objects Nowak and Jurie, CVPR 2007 (PPT slides) CHANGE OF ROOM TO CSE303	Peter Jackie	Andrey (review) Miao (review) Due: 10/24/07	Eli and Indri on 10/25/07
11/05/2007	A closed form solution to natural image matting A. Levin, D. Lischinski, and Y. Weiss., CVPR 2006 (PPT slides)	Alex Kathleen	Peter (review) Jackie (review) Ryan (review) Due: 10/31/07	Eli on 11/01/07
11/12/2007	VETERAN'S DAY - No class
11/19/2007	Approximate nearest subspace search with applications to pattern recognition R. Basri, T. Hassner, and L. Zelnik-Manor, CVPR 2007 (PPT slides)	Ian Andrew	Ankit (review) Noah (review) Due: 11/14/07	Sameer on 11/15/07
11/26/2007	Joint optimization of cascaded classifiers for computer aided detection M. Dundar and J. Bi, CVPR 2007 (PPT slides)	Andrey Brandon	Andrew (review) Evan (review) Due: 11/21/07	Eli on 11/21/07
12/03/2007	Accurate, dense and robust multi-view stereopsis Y. Furukawa and J. Ponce, CVPR 2007 (PPT slides)	Rahul Ryan	Ian (review) Colin (review) Due: 11/27/07	Sameer on 11/28/07

List of proposed papers

Here are the suggested papers for the quarter. Feel free to email the organizers to propose additional papers.

1. Accurate object localization with shape masks, Schmid, CVPR 2007 (PDF)
      Tags: learning, detection
2. Learning Visual Similarity Measures for Comparing Never Seen Objects, Nowak and Jurie, CVPR 2007 (PDF)
      Tags: learning, classification, methods
3. Semantic Hierarchies for Recognizing Objects and Parts, Epshtein and Ullman, CVPR 2007 (PDF)
      Tags: learning, classification, multiclass, methods
4. Multiple Object Detection with a Generative Model, Mikolajczyk et all, CVPR 2006 (PDF)
      Tags: learning, classification, detection, multiclass
5. Learning the Compositional Nature of Visual Objects, Ommer and Buhmann, CVPR 2007 (PDF)
Tags: graphical_models, classification, multiclass, learning
6a.Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification; Andrea Frome, Yoram Singer, Fei Sha, Jitendra Malik, ICCV 2007 (PDF)
       Tags: classification, methods, distance_learning, nearest_neighbor
6b.Image retrieval and classification using local distance functions. A. Frome, Y. Singer, and J. Malik, NIPS, 2006 (PDF)
        Tags: learning, classification, distance_learning, methods, multiclass
7. Shape Descriptors for Maximally Stable Extremal Regions , Per-Erik Forss& David Lowe, ICCV 2007 (PDF not available yet)

8. Differential Camera Tracking through Linearizing the Local Appearance Manifold, Hua Yang, Marc Pollefeys, Greg Welch, Jan-Michael Frahm, and Adrian Ilie, CVPR 2007 (PDF)
      Tags: methods, differential_geometry, geometry, video
9. What makes a good model of natural images? , Yair Weiss and Bill Freeman, CVPR 2007 (PDF)
        Tags: natural_images, statistics, image processing
10. Clustering by Passing Messages Between Data Points, Brendan J. Frey and Delbert Dueck , Science 2007 (PDF)
        Tags: methods, clustering
11. Human Detection via Classification on Riemannian Manifolds, Oncel Tuzel, Fatih Porikli, and Peter Meer, CVPR 2007 (PDF)
        Tags: classification, learning, methods, differential_geometry
12. Tracking in low frame rate video: A cascade particle filter with discriminative observers of different lifespans, Y. Li, H. Ai, T. Yamashita, S. Lao and M. Kawade, CVPR 2007 (PDF)
      Tags: tracking, video, monte_carlo
13. Inferring temporal order of images from 3D structure, G. Schindler, F. Dellaert, S.B. Kang, CVPR 2007 (PDF)
    Tags: geometry, application
14. Joint optimization of cascaded classifiers for computer aided detection, M. Dundar and J. Bi, CVPR 2007 (PDF)
        Tags: classification, methods, boosting, learning
15. Efficient belief propagation for vision using linear constraint nodes, B. Potetz, CVPR 2007 (PDF)
        Tags: MRF, discrete, optimization methods
16. Accurate, dense and robust multi-view stereopsis, Y. Furukawa and J. Ponce, CVPR 2007 (PDF)
        Tags: multiview, stereo, geometry, methods
17. Spectral matting, A. Levin, A. Rav-Acha and D. Lischinski, CVPR 2007 (PDF)
        Tags: image processing, matting, methods
18. Learning the Discriminative Power-Invariance Trade-Off, Manik Varma, Debajyoti Ray, ICCV 2007 (PDF)
        Tags: learning, classification, optimization, kernels, SVM, application
19. More Efficiency in Multiple Kernel Learning, A. Rakotomamonjy, F. R. Bach, S. Canu, Y. Grandvalet, ICML 2007(PDF)
        Tags: learning, SVM, methods, kernels, classification, optimization
20. Learning the Kernel Matrix with Semidefinite Programming, Gert R.G. Lanckriet, Nello Cristianini, Peter Bartlett, Laurent El Ghaoui, Michael I. Jordan, ICML 2002 (PDF)
        Tags: learning , SVM, methods, kernels classification, optimization
21a. Fast, approximately optimal solutions for single and dynamic MRFs, N. Komodakis, G. Tziritas, and N. Paragios, CVPR 2007 (PDF)
        Tags: optimization, MRF, discrete methods
21b. A New Framework for approximate labelling via graph cuts, N. Komodakis, and G. Tziritas, ICCV2005 (PDF)
        Tags: optimization, MRF, discrete methods
22. Approximate nearest subspace search with applications to pattern recognition, R. Basri, T. Hassner, and L. Zelnik-Manor, CVPR 2007 (PDF)
    Tags: recognition, methods, nearest_neighbor, classification
23. Solving large scale binary quadratic problems: spectral methods vs semi-definite programming, C. Olsson, A. Eriksson, and F. Kahl, CVPR 2007 (PDF)
        Tags: MRF, optimization, discrete, methods, classification
24. P^{3} and beyond: solving energies with higher order cliques, P. Kohli, P. Mudigonda, and P. Torr, CVPR 2007 (PDF)
    Tags: optimization, MRF, discrete methods
25. Removing outliers using the L_infinity norm, K. Sim and R. Hartley, CVPR 2006 (PDF)
        Tags: optimization, geometry, continuous, methods