|
Visual Recognition and Machine Learning
Summer School, Grenoble, 26-30 July 2010
Materials for practical sessions
-
Wednesday, July 28, 11.45-12.45
-
Thursday, July 29, 18.00-19.00
Lecture slides
-
Kernel methods & sparse methods for computer vision, Francis Bach
-
Instance-level recognition (part1, part2, part3, part4), Cordelia Schmid and Josef Sivic
-
Bag-of-Features models for category-level classification, Cordelia Schmid
-
Sparse Coding and Dictionary Learning for Image Analysis, Julien Mairal
-
Category-level Localization, Andrew Zisserman
-
Markov random fields and conditional random fields for computer vision, Carsten Rother
-
Human actions, Ivan Laptev
-
Human pose estimation, Andrew Zisserman
-
Learning with Structured Inputs and Outputs, Christoph Lampert
-
Unsupervised learning, Zaid Harchaoui
-
-
Recognition, retrieval and naming of characters in TV video, Josef Sivic
-
Using geometric information in recognition and scene analysis, Martial Hebert
|