Visual Recognition and Machine Learning

Summer School, Paris, 22-26 July 2013

Materials for practical sessions

1. Instance-level recognition, Ivan Laptev, Cordelia Schmid, Josef Sivic and Andrew Zisserman
   Monday, July 22, 17.30-19.00
2. Recognition of Object Categories: Image classification, Ivan Laptev, Cordelia Schmid, Josef Sivic and Andrew Zisserman
   Wednesday, July 24, 16.00-17.30
3. Recognition of Object Categories: Simple face detector, Ivan Laptev, Cordelia Schmid, Josef Sivic
   Thursday, July 25, 16.00-17.30

Lecture slides

Monday, July 22

4. Introduction to supervised learning, Christoph Lampert
   9.15-10.45
5. Introduction to graphical models, Peter Gehler
   11.15-12.45
6. Instance-level recognition (part 1), Cordelia Schmid
   14.00-15.30
7. Instance-level recognition (part 2), Josef Sivic
   14.00-15.30
8. Large-scale visual search (part 1), Josef Sivic
   16.00-17.30
9. Large-scale visual search (part 2), Cordelia Schmid
   16.00-17.30

Tuesday, July 23

9. Bag-of-Features models for category-level classification, Cordelia Schmid
   9.00-10.30
10. Deep learning and convolutional neural networks Part 1, Part 2, Yann LeCun
    11.00-12.30
11. Category-level localization, Andrew Zisserman
    14.00-16.00

Wednesday, July 24

12. Learning with structured inputs and outputs, Christoph Lampert
    9.00-10.30
13. Using geometric information in recognition and scene analysis, Martial Hebert
    11.00-12.30
14. The Three R's of Computer Vision: Recognition, Reconstruction and Reorganization, Jitendra Malik
    14.00-15.30

Thursday, July 25

15. Large-scale visual recognition, Zaid Harchaoui
    9.00-10.30
16. Active learning and relative attributes, Kristen Grauman
    11.00-12.30
17. Discriminative clustering for image co-segmentation, Jean Ponce
    14.00-15.30

Friday, July 26

19. Visual tracking, Patrick Perez
    9.00-10.30
20. Human actions, Ivan Laptev
    11.00-12.30
21. Human vision, Aude Olivia
    14.00-15.30