Vision and Sports Summer School • 2018

Prague, Czech Republic • 20-25 August 2018


Summer school

small changing images of sports

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 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 one evening, there will be a VS3 dinner / barbecue starting at 19:45.

Detailed programme is available here.

Saturday Workshop

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.

Detailed workshop programme is available here.


List of Lecturers

  • Jan-Michael Frahm
    Jan-Michael Frahm
    University of North Carolina at Chapel Hill (USA)
    Vision: Large scale Structure-from-Motion
    Sports: Volleyball
  • Christoph Lampert
    Christoph Lampert
    Institute of Science and Technology Austria (IST Austria)
    Vision: Best practice in machine learning for computer vision
    Sports: Floorball / Unihockey
  • David Novotny
    David Novotny
    University of Oxford (UK)
    Vision: Basics of Deep Learning in Computer Vision
    Sports: Volleyball
  • Cristian Sminchisescu
    Cristian Sminchisescu
    University of Lund (Sweden)
    Vision: Human sensing
    Sports: Tennis
  • Jiri Matas
    Jiri Matas
    Czech Technical University (Prague, Czech Republic)
    Vision: Tracking
    Sports: Tennis, Floorball
  • Vittorio Ferrari
    Vittorio Ferrari
    University of Edinburgh (UK) / Google Research
    Vision: Weakly supervised learning of visual models
    Sports: Table Tennis
  • Ondrej Chum
    Ondrej Chum
    Czech Technical University (Prague, Czech Republic)
    Vision: Large scale specific object recognition
    Sports: Badminton, Volleyball, Tennis


Vision Lectures

  • Best practice in machine learning for computer vision
  • Visual tracking
  • Weakly supervised learning of visual models
  • Large scale Structure-from-Motion
  • Large scale specific object recognition
  • Deep learning in computer vision

Sports Activities


sports activities

Volley ball

sports activities

Ultimate Frisbee

sports activities


sports activities

Floor ball (Unihockey)

sports activities

Table tennis

sports activities


sports activities


sports activities


sports activities


sports activities


Important dates

  • Application deadline: May 25 2018
  • Notification of acceptance: May 27, 2018
  • Registration deadline for accepted participants: June 4, 2018
  • Summer school: 20-25 August, 2018

The school fees

Group Registration fee
Master/PhD student 370 €
Academic position other than Master/PhD student 450 €
Industry participant 550 €

Registration includes all classes, sports activities, coffee breaks, lunches, and a social dinner.

For hotel accommodation, students will get discount rates on a set of hotels affiliated with the summer school (to be announced).

Application site

Summer school application form available here.


Czech Technical University, Prague

Location: Technicka 2
Local map with the venue and sport facilities here.



Information about the accommodation is available here.


Contact email



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