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INRIA Visual Recognition and Machine Learning
Summer School
Grenoble, France, 9-13 July 2012
Previous editions of this summer school have been organized in
Paris 2011 and
Grenoble 2010
Lectures will be given by experts in computer vision and machine learning. The target audience are PhD students, MSc students, advanced undergraduates as well as academics and practitioners in the field. Lectures will be complemented by practical sessions, where participants will obtain hands-on experience with the discussed material. Participants will also have an opportunity to bring and discuss their work during a poster session.
Lectures will be given by
Important dates
Registration
Registration fee will be 400 Euros for student participants, 600 Euros for non-student academic participants and 800 Euros for industrial participants. The fee will cover lectures, practical exercises, handouts, coffee breaks, lunches, and social events.
Scope
Some of the notable recent successes in automated visual recognition are results of combining advanced visual representations together with powerful machine learning techniques. The objective of this summer school is to provide an overview of some of the latest advances in visual recognition together with the related machine learning algorithms. A particular emphasis this year will be given to advances in analysis of people, human actions and interactions.
Program
A preliminary program is awailable here.
The final program will span five days with 30-35 teaching hours in total split into lecture sessions and three practical sessions.
Poster presentations
There will be a poster session, where participants are encouraged to bring and present their recent work. Participants will get feedback on their posters and the possibility to discuss their work with their peers. The best poster will be awarded a prize.
Accommodation
A list of suggested hotels in Grenoble is available here. We will organize busses to transfer participants between Grenoble and the summer school venue.
Organizers
Ivan Laptev <Ivan.Laptev@ens.fr>
Cordelia Schmid <Cordelia.Schmid@inria.fr>
Josef Sivic <Josef.Sivic@ens.fr>
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