ECCV'10 Area Chair Computer Vision Colloquium
2010-06-07, Paris, France
Web : http://www.mas.ecp.fr/vision/colloq/


ECCV'10 Area Chair Computer Vision Colloquium

Sponsors: Ecole Centrale de Paris / INRIA Saclay, Ile-de-France /
Ecole de Ponts (ENPC)


*** 7th June, Ecole Normale Superieure , Paris *** registration is 
free but mandatory ***

Program:

*** Session I: New Frontiers ***
8:40 Advances in Computational Photography - Ramesh Raskar, MIT
9:05 Visipedia: grand plan and first baby steps - Pietro Perona, Caltech
9:30 Advance Imaging and Visualization for Computer Assisted Interventions - Nassir Navab, TUM

9:55 Coffee Break

*** Session II: Recognition ***
10:05 Advances in video recognition - Cordelia Schmid, INRIA-LEAR
10:30 Modelling deformable 3d object classes - Andrew Fitzgibbon, Microsoft Cambridge

10:55 Coffee Break

*** Session III: Learning ***
11:05 Random Forest: On-line, Semi-supervised and MIL- Horst Bischof, TU-Gratz
11:30 Structured Prediction Cascades - Ben Taskar, UPenn
11:55 Robust Long-Term Tracking and Detection by Semi-supervised P-N 
	Learning - Jiri Matas, Czech Technical University, Prague

Lunch Break

*** Session IV: Motion & Pose ***
13:30 A signal analysis of real-time motion processing - Cornelia Fermuller,
	University of Maryland
13:55 Toward calibration-free gaze estimation - Yoichi Sato, 
	University of Tokyo

14:20 Coffee Break

*** Session V: 3D Modelling ***
14:30 Metric geometry in action: Non-rigid shape acquisition, 
	processing, and analysis - Ron Kimmel, Technion
14:55 Dense Non-rigid Surface Registration Using High-Order Graph 
	Matching - Dimitris Samaras, SUNY Stony Brook
15:20 Free-form surface tracking - Edmond Boyer, INRIA Grenoble

15:55 Coffee Break

*** Session VI: Optimization ***
16:05 Generalizing roof duality for higher-order cliques - Vladimir 
	Kolmogorov, University College London
16:30 Parallel and Distributed Vision Algorithms Using Dual 
	Decomposition - Fredrik Kahl, Lund Institute of Technology
16:55 Discriminative Clustering for Image Co-segmentation - Francis 
	Bach, Ecole Normale Superieure
17:20 Associative Hierarchical Networks for Scene Understanding: 
	combining recognition and 3D structure recovery - Philip Torr, Oxford 
	Brookes University

Organization: Iasonas Kokkinos. Please address all queries to 
iasonas.kokkinos@ecp.fr