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Visual Recognition and Machine Learning
Summer School, Paris, 25-29 July 2011
Materials for practical sessions
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Image classification, Ivan Laptev, Cordelia Schmid, Josef Sivic and Andrew Zisserman
Tuesday, July 26, 16.30-17.30
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Category-level localization: Face detection, Ivan Laptev, Cordelia Schmid, Josef Sivic
Thursday, July 28, 18.00-19.00
Lecture slides
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Supervised learning, SVMs, kernel methods, Francis Bach
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Instance-level recognition (part1, part2), Cordelia Schmid and Josef Sivic
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Large-scale visual search (part1, part2), Cordelia Schmid and Josef Sivic
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Bag-of-Features models for category-level classification, Cordelia Schmid
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Sparse coding and dictionary learning for image analysis, Jean Ponce
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Category-level localization, Andrew Zisserman
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Learning with structured inputs and outputs, Christoph Lampert
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Attributes for object recognition, Christoph Lampert
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Recent progress on visual recognition, Jitendra Malik
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The future of visual recognition, Jitendra Malik
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Large scale learning, Léon Bottou
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Large-scale visual recognition I, Alyosha Efros
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Large-scale visual recognition II, Florent Perronnin
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Human actions, Ivan Laptev
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Using geometric information in recognition and scene analysis, Martial Hebert
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