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