Visual Recognition and Machine Learning
Summer School, Paris, 22-26 July 2013
Materials for practical sessions
- Instance-level recognition, Ivan Laptev, Cordelia Schmid, Josef Sivic and Andrew Zisserman
Monday, July 22, 17.30-19.00
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Recognition of Object Categories: Image classification, Ivan Laptev,
Cordelia Schmid, Josef Sivic and Andrew Zisserman
Wednesday, July 24, 16.00-17.30
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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
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Introduction to supervised learning, Christoph Lampert
9.15-10.45
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Introduction to graphical models, Peter Gehler
11.15-12.45
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Instance-level recognition (part 1), Cordelia Schmid
14.00-15.30
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Instance-level recognition (part 2), Josef Sivic
14.00-15.30
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Large-scale visual search (part 1), Josef Sivic
16.00-17.30
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Large-scale visual search (part 2), Cordelia Schmid
16.00-17.30
Tuesday, July 23
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Bag-of-Features models for category-level classification, Cordelia Schmid
9.00-10.30
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Deep learning and convolutional neural networks Part 1, Part 2, Yann LeCun
11.00-12.30
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Category-level localization, Andrew Zisserman
14.00-16.00
Wednesday, July 24
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Learning with structured inputs and outputs, Christoph Lampert
9.00-10.30
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Using geometric information in recognition and scene analysis, Martial Hebert
11.00-12.30
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The Three R's of Computer Vision: Recognition, Reconstruction and Reorganization, Jitendra Malik
14.00-15.30
Thursday, July 25
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Large-scale visual recognition, Zaid Harchaoui
9.00-10.30
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Active learning and relative attributes, Kristen Grauman
11.00-12.30
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Discriminative clustering for image co-segmentation, Jean Ponce
14.00-15.30
Friday, July 26
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Visual tracking, Patrick Perez
9.00-10.30
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Human actions, Ivan Laptev
11.00-12.30
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Human vision, Aude Olivia
14.00-15.30