Lecture slides
1. Supervised learning, SVMs, kernel methods, Francis Bach
2. Instance-level recognition (part 1), Cordelia Schmid
3. Instance-level recognition (part 2), Josef Sivic
4. Large-scale visual search (part 1), Josef Sivic
5. Large-scale visual search (part 2), Cordelia Schmid
6. Bag-of-Features models for category-level classification, Cordelia Schmid
7. Sparse coding and dictionary learning for image analysis, Jean Ponce
8. Category-level localization, Andrew Zisserman
9. Learning with structured inputs and outputs, Christoph Lampert
10. More words and bigger pictures, David Forsyth
11. Human actions (part 1), Ivan Laptev
12. Human actions (part 2), David Forsyth
13. Human pose estimation, Deva Ramanan
15. Large scale recognition / Context / many categories, Antonio Torralba
Website of the summer school: http://www.di.ens.fr/willow/events/cvml2012/