Preliminary Program

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09:30 - 09:45

Welcome and Opening
Helmut Grabner, and Fatih Porikli
Session 1: Theory (On-line Boosting)
09:45 - 10:10

A Family of Online Boosting Algorithms
Boris Babenko, Ming-Hsuan Yang, and Serge Belongie
10:10 - 10:35
Online Coordinate Boosting
Raphael Pelossof, Michael Jones, Ilia Vovsha, Cynthia Rudin
10:35 - 11:00

On Robustness of On-line Boosting - A Competitive Study
Christian Leistner, Amir Saffari, Peter M. Roth, and Horst Bischof
11:00 - 11:30 Coffee Break
Session 2: Active Learning
11:30 - 11:55

Inter-Active Learning of Randomized Tree Ensembles for Object Detection
Thomas J. Fuchs, and Joachim M. Buhmann
11:55 - 12:20

Generalized Query by Transduction for Online Active Learning
Vineeth Balasubramanian, Shayok Chakraborty, and Sethuraman Panchanathan
12:20 - 14:00 Lunch Break
14:00 - 14:45

Invited Talk
Visipedia and Implications for On-line Learning
Pietro Perona
Session 3: Tracking I
14:45 - 15:10

Online Learning of Robust Facial Feature Trackers
Tim Sheerman-Chase, Eng-Jon Ong, and Richard Bowden
15:10 - 15:35

On-line Random Forests for Visual Tracking
Amir Saffari, Christian Leistner, and Horst Bischof
15:35 - 16:05 Coffee Break
Session 4: Tracking II
16:05 - 16:30

Combining Online and Offline Learning for Tracking a Talking Face in Video
Quoc Dinh Nguyen, and Maurice Milgram
16:30 - 16:55

Beyond Semi-Supervised Tracking: Detection Should Be as Simple as Tracking, but not Simpler than Recognition
Severin Stalder, Helmut Grabner, and Luc Van Gool
16:55 - 17:20

Online learning of robust object detectors during unstable tracking
Zdenek Kalal, Krystian Mikolajczyk, and Jiri Matas
17:20 - 17:45

Closing and Discussion
Helmut Grabner, and Fatih Porikli

Invited Speaker

Pietro Perona
Vision Group-Vision Laboratory
California Institute of Technology (CALTECH)

Title: Visipedia and implications for on-line learning

Pietro Perona graduated in electrical engineering from the Universita di Padova in 1985. He received the PhD degree from the University of California at Berkeley in 1990. He was a postdoctoral fellow at the Laboratory for Information and Decision Systems at MIT in 1990-1991 and became an assistant professor of electrical engineering at the California Institute of Technology in 1991. In 1996, he became professor of electrical engineering and of computation and neural systems. Since 1999, he has been the director of the National Science Foundation Engineering Research Center in Neuromorphic Systems Engineering at Caltech. He has served on the editorial board of the International Journal of Machine Vision, the Journal of Machine Learning Research, Vision Research, and as co-general chair of the IEEE Conference of Computer Vision and Pattern Recognition (CVPR 2003).
He is interested in the computational aspects of vision; his current research focus is visual recognition. He has worked on PDEs for image analysis and segmentation (anisotropic diffusion), multiresolution-multiorientation filtering for early vision, human texture perception and segmentation, dynamic vision, grouping, detection and analysis of human motion, human perception of 3D shape from shading, learning and recognition of object categories, human categorization of scenes, interaction of attention, and recognition. He is a member of the IEEE.

Acceptance Rate

We have received 22 high quality papers out of which we have selected 10 for oral presentation. This correspond to an acceptance rate of 45%.