Visual Recognition and Machine Learning
Summer School, Paris, 22-26 July 2013
Program
Monday, July 22
08:00-09:00 Registration
09:00-09:15 Introduction
09.15-10.45 C. Lampert / Intro to supervised learning
10.45-11.15 COFFEE BREAK
11.15-12.45 P. Gehler / Intro to graphical models
12.45-14.00 LUNCH
14.00-15:30 Cordelia Schmid + Josef Sivic / Instance-level recognition
15.30-16.00 COFFEE BREAK
16.00-17:30 Cordelia Schmid + Josef Sivic / Large-scale visual search
17.30-19.00 PRACTICAL SESSION: Instance-level recognition
19:00-20:30 RECEPTION
Tuesday, July 23
09.00-10.30 Cordelia Schmid / Bag-of-Features models for category-level classification
10.30-11.00 COFFEE BREAK
11.00-12.30 Yann LeCun / Deep learning and convolutional neural networks
12.30-14.00 LUNCH
14.00-16.00 Andrew Zisserman / Category-level localization
16.00-16.30 COFFEE BREAK
16.30-18.30 POSTER SESSION (with cheese and wine)
Wednesday, July 24
09.00-10.30 Christoph Lampert / Learning with structured inputs and outputs
10.30-11.00 COFFEE BREAK
11.00-12.30 Martial Hebert / Using geometric information in recognition and scene analysis
12.30-14.00 LUNCH
14:00-15.30 Jitendra Malik / The Three R's of Computer Vision: Recognition, Reconstruction and Reorganization
15.30-16:00 COFFEE BREAK
16.00-17.30 PRACTICAL SESSION: Image classification
19:00-24:00 Boat cruise on Seine
Thursday, July 25
09.00-10.30 Zaid Harchaoui / Large-scale visual recognition
10.30-11.00 COFFEE BREAK
11.00-12.30 Kristen Grauman / Active learning and relative attributes
12.30-14.00 LUNCH
14.00-15.30 Jean Ponce / Discriminative clustering for image co-segmentation
15.30-16.00 COFFEE BREAK
16.00-17.30 PRACTICAL SESSION: Category-level localization
Friday, July 26
09:00-10:30 Patrick Perez / Visual tracking
10.30-11.00 COFFEE BREAK
11.00-12.30 Ivan Laptev / Human actions
12.30-14.00 LUNCH
14.00-15.30 Aude Oliva / Human vision