Overview

Summer school

Vision and Sports is a special special kind of summer school.

In addition to a broad-range of lectures on state-of-the-art Computer Vision techniques, it offers exciting sport activities, such as Floorball, Ultimite Frisbee and Table Tennis.

What is most fun: the sports sessions are given by the same internationally renowned experts who deliver the lectures!

As a student, you get the best of both worlds: high-quality teaching on Computer Vision, and lots of fun with a variety of attractive sports. This offers plenty of opportunity for personal contact between students and teachers. How would you like to beat your teacher in a tennis match ? Or play in the same soccer team ? This, and more, will happen at VS3!

Schedule

Schedule Monday to Friday

9:00 - 12:00 Lecture
12:00 - 13:15 Lunch
13:15 - 16:15 Lecture / Exercise
16:45 - 18:45 Sports

During each lecture there will be two sort breaks with some refreshments.
On Wednesday evening, there will be a VS3 dinner / barbecue starting at 20:00.

Detailed programme is available here.

Saturday Workshop (NEW!)

On Saturday, the school switches gears: from the basics to state-of-the-art research! The teachers will present their latest research work during a one-day workshop. Students can attend this exciting workshop for free and have the opportunity to see some outstanding research leaders discuss the cutting edge of computer vision research.

Programme available here.

Lecturers

Confirmed Lecturers

Jiri Matas
Czech Technical University (Prague, Czech Republic)
Vision: Local features extraction and matching / large scale specific object recognition
Sports: Tennis, Floorball
Patrick Pérez
Technicolor Research and Innovation, France
Vision: Visual tracking
Sports: Badminton
Jan-Michael Frahm
University of North Carolina at Chapel Hill (USA)
Vision: 3D reconstruction
Sports:
Vittorio Ferrari
School of Informatics of the University of Edinburgh (UK)
Vision: Weakly supervised learning of visual models
Sports: Table Tennis
Christoph Lampert
Institute of Science and Technology Austria (IST Austria)
Vision: Learning with Structured Inputs and Outputs
Sports: Floorball / Unihockey
Andrea Vedaldi
University of Oxford
Vision: Kernel Methods for Computer Vision
Sports: Floorball / Unihockey
Pushmeet Kohli
Microsoft Research Cambridge
Vision: MRF/CRF for Computer Vision
Sports: Ultimate Frisbee
Ondrej Chum
Czech Technical University (Prague, Czech Republic)
Vision: Large scale specific object recognition
Sports: Badminton, Volleyball, Tennis