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 - 13:00 Lunch
13:00 - 16:00 Lecture / Exercise
16:30 - 18:30 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 19:45.

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: Tracking
Sports: Tennis, Floorball
Krystian Mikolajczyk
University of Surray, Guildford, UK
Vision: Feature detection and description
Sports: Tennis
Vittorio Ferrari
School of Informatics of the University of Edinburgh (UK)
Vision: Weakly supervised learning of visual models
Sports: Table Tennis
Raquel Urtasun
University of Toronto (Toronto, Canada)
Vision: Deep structured models
Sports: Soccer
Christoph Lampert
Institute of Science and Technology Austria (IST Austria)
Vision: Learning with Structured Inputs and Outputs
Sports: Floorball / Unihockey
Carsten Rother
TU Dresden
Vision: MRF/CRF for Computer Vision
Sports: Ultimate Frisbee
Daniel Cremers
TU München (Munich, Germany)
Vision: Variational Methods and Geometric Reconstruction
Sports: Climbing
Ondrej Chum
Czech Technical University (Prague, Czech Republic)
Vision: Large scale specific object recognition
Sports: Badminton, Volleyball, Tennis