Visual Recognition and Machine Learning
Summer School, Grenoble, 9-13 July 2012
Materials for practical sessions
- Image classification, Ivan Laptev, Cordelia Schmid, Josef Sivic and Andrew Zisserman
Wednesday, July 11, 16.30-17.30 - Category-level localization: Face detection, Ivan Laptev, Cordelia Schmid, Josef Sivic
Thursday, July 12, 18.15-19.15
Lecture slides
Monday, July 9
- Supervised learning, SVMs, kernel methods, Francis Bach
9.30-11.30, 11.30-13.00 - Instance-level recognition (part 1), Cordelia Schmid
14.30-16.00 - Instance-level recognition (part 2), Josef Sivic
14.30-16.00 - Large-scale visual search (part 1), Josef Sivic
16.30-18.00 - Large-scale visual search (part 2), Cordelia Schmid
16.30-18.00
Tuesday, July 10
- Bag-of-Features models for category-level classification, Cordelia Schmid
9.30-11.00 - Sparse coding and dictionary learning for image analysis, Jean Ponce
11.30-13.00 - Category-level localization, Andrew Zisserman
14.30-16.30
Wednesday, July 11
- Learning with structured inputs and outputs, Christoph Lampert
9.30-11.30 - Large-scale learning, Zaid Harchaoui
12.00-13.00 - More words and bigger pictures, David Forsyth
14.30-16.00
Thursday, July 12
- Human actions (part 1), Ivan Laptev
9.30-11.00 - Human actions (part 2), David Forsyth
11.30-13.00 - Human pose estimation, Deva Ramanan
14.30-16.00 - Geometry for recognition and scene analysis, Martial Hebert
16.30-18.00
Friday, July 13
- Human vision, Aude Olivia
9.30-11.00 - Large scale recognition / Context / many categories, Antonio Torralba
11.30-13.00 - Big data, Alyosha Efros
14.30-16.00