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Program for the "2008 International Workshop On Object Recognition"

May 15
19:45	Reception
May 16
9:00 - 9:10	Introduction
9:10 - 10:30	Lots of data session ¤ Aude Oliva, Human memory capacity for object and scene representation (30+15) ¤ Kristen Grauman, Multi-level active prediction of useful image annotations for recognition (20+15)
10:30 - 11:00	Break
11:00 - 12:20	Lots of data panel, Moderator: Antonio Torralba, Panelists: Alex Berg, Rob Fergus, James Hays,Josef Sivic
12:20 - 14:15	Lunch
14:15 - 15:35	Human action session ¤ Ivan Laptev and Marcin Marszalek, Learning realistic action (30+15) ¤ Vittorio Ferrari, Pose estimation and retrieval in TV shows (20+15)
15:35 - 15:50	Break
15:50 - 16:35	Human action panel, Moderator: Ivan Laptev, Panelists: David Forsyth, Anthony Hoogs, Rahul Sukthankar
16:35 - 18:00	Posters (group I and II)
May 17
9:00 - 10:55	Beyond classification session ¤ Moshe Bar, Associations in the brain (30+15) ¤ Shimon Ullman, Beyond current classification (20+15) ¤ Derek Hoiem, The problem with the blank slate (20+15)
10:55-11:25	Break
11:25 - 12:15	Beyond classification, experimental discussion, Moderator: Alyosha Efros, Panelists: everyone!
12:15 - 14:15	Lunch
14:15 - 15:25	Classification is not dead session ¤ Manik Varma, Multiple kernel learning (20+15) ¤ Deva Ramanan, A discriminatively trained, multiscale, deformable part model (20+15)
15:25 - 17:15	Break and Posters (group II and III)
17:15 - 18:00	Lessons from the past, Moderator: Jean Ponce, Panelists: Martial Hebert, Yann LeCun
18:30 - 19:30 19:30 - 22:30 22:30 - 23:30	Boat tour on the Lake Dinner at the restaurant "The Locanda", Comacina Island Return to the hotel
May 18
9:00 - 10:30	Perceptual organization session ¤ Jitendra Malik, Perceptual organization in images of natural scenes (30+15) ¤ Shape representation panel, Moderator: Jianbo Shi, Panelists: Martial Hebert, Yann LeCun, Jitendra Malik, Cordelia Schmid, Shimon Ullman
10:30 - 11:00	Break
11:00 - 11:35	David Forsyth, Shading as a cue to object identity
11:35 - 12:20	Datasets panel, Moderator: Chris Williams, Panelists: Tamara Berg, Mark Everingham, Bryan Russell
12:20 - 14:15	Lunch
14:15 - 15:25	Scene understanding session ¤ Lana Lazebnik, Empirical Bayes methods for contextual region classification (20+15) ¤ Bastian Leibe, Towards visual scene understanding -- a systems perspective(20+15)
15:25 - 17:15	Break and Posters (group I and III)
17:15 - 18:00	Yann LeCun, Deep Learning (30+15)

Posters (23):

Group I

Alex Berg - Some kernelized SVMs are in fact very fast

Rob Fergus - Small codes and large databases

Anthony Hoogs - Object category recognition by video activity analysis

Svetlana Lazebnik - Iconic scene graphs and iconic summaries for Internet photo collections.

Jianbo Shi - Simplify visual recognition with contours

Rahul Sukthankar - Unifying codebook generation

Luc Van Gool - Spatio-temporal features for action and video analysis

Chris Williams - A prinicipled approach to non-maximum suppression for object detection




Group II

Marco Bressan - A similairy measure between unordered vector sets with application to image categorization

Kristen Grauman - Foreground focus: finding meaningful features in unlabeled images

Kristen Grauman - Fast image search for learned metrics

Antonio Torralba - Putting labelme in 3D

David Demirdjian - Human pose inference

James Hays - im2gps: estimating geographic information from a single image

Josef Sivic - Unsupervised discovery of visual object class hierarchies

Ivan Laptev - View-invariant action recognition

Group III

Tamara Berg - Finding iconic images

Derek Hoiem - Defining objects in terms of background knowledge

Jakob Verbeek - Automatic face naming with caption-based supervision

Bernt Schiele - Decomposition, discovery and detection of visual categories using topic models

Marcin Marszalek - Building visual class hierarchies from Flickr

Alyosha Efros - Recognition by association via learning per-exemplar distances

Fatih Porikli - Learning on Lie groups for invariant detection via tracking

Jean Ponce - Discriminative Sparse Representations for Local Image Analysis