Visual Recognition and Machine Learning

Summer School, Grenoble, 9-13 July 2012

Materials for practical sessions

1. Image classification, Ivan Laptev, Cordelia Schmid, Josef Sivic and Andrew Zisserman
   Wednesday, July 11, 16.30-17.30
2. Category-level localization: Face detection, Ivan Laptev, Cordelia Schmid, Josef Sivic
   Thursday, July 12, 18.15-19.15

Lecture slides

Monday, July 9

4. Supervised learning, SVMs, kernel methods, Francis Bach
   9.30-11.30, 11.30-13.00
5. Instance-level recognition (part 1), Cordelia Schmid
   14.30-16.00
6. Instance-level recognition (part 2), Josef Sivic
   14.30-16.00
7. Large-scale visual search (part 1), Josef Sivic
   16.30-18.00
8. Large-scale visual search (part 2), Cordelia Schmid
   16.30-18.00

Tuesday, July 10

9. Bag-of-Features models for category-level classification, Cordelia Schmid
   9.30-11.00
10. Sparse coding and dictionary learning for image analysis, Jean Ponce
    11.30-13.00
11. Category-level localization, Andrew Zisserman
    14.30-16.30

Wednesday, July 11

12. Learning with structured inputs and outputs, Christoph Lampert
    9.30-11.30
13. Large-scale learning, Zaid Harchaoui
    12.00-13.00
14. More words and bigger pictures, David Forsyth
    14.30-16.00

Thursday, July 12

15. Human actions (part 1), Ivan Laptev
    9.30-11.00
16. Human actions (part 2), David Forsyth
    11.30-13.00
17. Human pose estimation, Deva Ramanan
    14.30-16.00
18. Geometry for recognition and scene analysis, Martial Hebert
    16.30-18.00

Friday, July 13

19. Human vision, Aude Olivia
    9.30-11.00
20. Large scale recognition / Context / many categories, Antonio Torralba
    11.30-13.00
21. Big data, Alyosha Efros
    14.30-16.00