Site Search
Visual Recognition
Mar 21, 2005 to Mar 25, 2005

Organizer(s)

Don Geman, Jitendra Malik, Pietro Perona, Cordelia Schmid
To apply for funding, you must register by Fri, Jan 21 2005.

Recognizing materials, objects and scenes is one of the most useful functions of vision. Understanding this ability in humans, and reproducing it in machines is a grand challenges for scientists, mathematicians and engineers.
We will focus on the computational and statistical foundations of visual recognition. The program will be organized around special topics including: machine learning and statistical models, the role of context and language, recognition of human activities, features, shape matching, the structure and functional role of hierarchies and taxonomies. Sessions will include surveys and critiques of existing approaches in addition to presentations of the latest research results. Poster sessions will give all workshop participants to present their research.
Confirmed speakers: Amit, Freeman, Geman, Grill-Spector, Harrison, Huttenlocher, Lowe, Malik, Mumford, Perona, Schmid, Ullman, Younes.

Workshop Schedule
All sessions will be held in the Second Floor lecture Hall.

Daily Schedule 9:00 AM – 12:00 PM, 2:00 PM – 5:00 PM.
Teas will be served at 10:30-11:00 AM and 3:00-3:30 PM daily.

Monday, March 21
9:30AM - Features: +Lowe, Lazebnik, Schmid
2PM - P. Perona (overview), Student talks: P. Moreels, A. Ferencz, A. Holub, other...

Tuesday, March 22
9AM - Stochastic models & learning I: Y. Amit, *D. Geman, D. Huttenlocher, L Younes
2PM - Stochastic models & learning II: *Jordan, Freeman, Zisserman, Zhu

Wednesday, March 23
9AM - Images, context: +W. Freeman, E. Sudderth, A. Efros, J. Buhmann(?)
2PM - Shape and correspondence: +Mumford, L. Younes(?), *Malik

Thursday, March 24
9AM - Hierarchical approaches, language: K. Grill-Spector, S. Ullman, *Y. Amit, C. Manning
2PM - Hiearchical approaches: M. Harrison, D. Geman, Y. Le Cun
4:45PM - Posters & short talks (15’ each)

Friday, March 25
9AM - Looking at people: +Malik, Perona, Soatto, Viola
PM - OPEN

+Overview
* Discussant


Lodging:
Rooms for this workshop are being held at the Hotel Durant at the rate of $118+tax/night. To make reservations, send and e-mail, referencing code "J80000", to: reservations@hoteldurant.com. The cut-off date for reservations is February 18th, 2005.

For alternative, short-term accommodations click here.

Funding

To apply for funding, you must register by Fri, Jan 21 2005. Click to Register
Students, recent Ph.D.'s, women, and members of underrepresented minorities are particularly encouraged to apply. Funding awards are made typically 6 weeks before the workshop begins. Requests received after the funding deadline are considered only if additional funds become available.
Schedule
Monday, March 21, 2005
9:30AM - 10:00AM David Lowe Features for Recognition [Video available]
10:00AM - 10:30AM Svetlana Lazebnik Features for Visual Recognition [Video available]
10:30AM - 11:00AM Cordelia Schmid Features of Visual Recognition [Video available]
11:00AM - 11:45AM Pierre Moreels Features of Visual Recognition [Video available]
2:00PM - 2:30PM Andras Ferencz Features of Visual Rcognition-Student Talks [Video available]
3:00PM - 3:30PM Stuart Andrews Features for Visual Recognition- Student Talks [Video available]
3:30PM - 4:00PM Pietro Perona BAFLE: Boosted Ambiguous Feature Learning [Video available]
4:00PM - 4:45PM Yali Amit Features of Visual Recognition [Video available]
Tuesday, March 22, 2005
9:00AM - 9:30AM Dan Huttenlocher Stochastic Models & Learning I [Video available]
9:00AM - 10:00AM Michael Jordan Dirichlet Processes, Chinese Restaurant Processes, and All That. [Video available]
10:00AM - 11:00AM Andrew Zisserman Stochastic Models & Learning I [Video available]
11:00AM - 12:00PM William Freeman Stochastic Models & Learning I [Video available]
2:00PM - 2:45PM Alexei Efros Stochastic Models & Learning II [Video available]
4:00PM - 4:45PM William Freeman Stochastic Models & Learning II [Video available]
Wednesday, March 23, 2005
9:00AM - 9:45AM Alexei Efros Images, Context of Visual Recognition [Video available]
10:00AM - 10:45AM Erik Sudderth Learning Hierarchical Models of Scens, Objects, and Parts [Video available]
11:00AM - 11:45AM Song Chun Zhu Images, Context of Visual Recognition [Video available]
1:00PM - 1:45PM Jitendra Malik Shape Recognition [Video available]
3:00PM - 3:45PM Yann LeCun Invariant Object Recognition with Energy-Based Models. [Video available]
4:00PM - 4:45PM Laurent Younes Shape and Correspondence [Video available]
Thursday, March 24, 2005
9:00AM - 9:45AM Shimon Ullman Hierarchical Approaches and Language [Video available]
10:00AM - 10:40AM Kalanit Grill-Spector Recognition and the Brain. [Video available]
11:00AM - 11:45AM Chris Manning Recognizing Object Types, Attributes and Relations Through Language. [Video available]
2:00PM - 2:30PM Donald Geman Hierarchical Approaches. [Video available]
2:00PM - 2:30PM Matthew Harrison Unsupervised Learning of Invariances Using Video. [Video available]
2:00PM - 2:45PM Donald Geman Hierarchical Approaches. [Video available]
Friday, March 25, 2005
9:00AM - 9:20AM Junmei Zhu Dynamic Link Matching for Correspondence-based Visual Recognition. [Video available]
9:20AM - 9:40AM Eran Borenstein Top-down Figure-ground Segmentation. [Video available]
9:40AM - 10:00AM Björn Ommer Compositional Graphical Models for Categorization. [Video available]
10:00AM - 10:20AM Elliot Bernstein Statistical Models for Visual Object Detection and Classification. [Video available]
10:20AM - 11:00AM Deva Ramanan Tracking People and Recognizing Their Activities. [Video available]
11:15AM - 11:30AM Paul Viola Face Detection.
11:30AM - 11:45AM Ruzena Bajcsy Shape Representation.
Parent Program(s):
Mathematical, Computational and Statistical Aspects of Image Analysis


Questions about this workshop should be sent either by email to
or by regular mail to:
Visual Recognition
Mathematical Sciences Research Institute
17 Gauss Way, Berkeley, CA
94720-5070.
USA

The Institute is committed to the principles of Equal Opportunity and Affirmative Action.



|