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Vision and Sports Summer School • 2026

Prague, Czech Republic • August 10-15


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, Ultimate 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!

an image of Prague from https://commons.wikimedia.org/wiki/File:Prague_Castle_from_Vltava_bank.jpg

an image of sports from previous Summer School

Schedule

Monday to Friday
 9:00 - 12:00Lecture
12:00 - 13:00Lunch
13:00 - 16:00Lecture / Exercise
16:30 - 18:30Sports

During each lecture there will be two short breaks with some refreshments. On one evening, there will be a VS3 dinner / barbecue starting at 19:45.

Detailed programme coming soon

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.

Workshop programme coming soon


Confirmed speakers

João Carreira photo
João Carreira

Google Deepmind

  • TBA
  • TBA
David Novotny photo
David Novotny

SpAItial

  • 3D Vision
  • Volleyball
Vittorio Ferrari photo
Vittorio Ferrari

Meta

ELLIS Fellow

  • Generating images and videos with diffusion models
  • Table Tennis
Jiri Matas photo
Jiri Matas

Czech Technical University (Prague, Czech Republic)

ELLIS Fellow

  • Tracking
  • Tennis, Floorball
Ondrej Chum photo
Ondrej Chum

Czech Technical University (Prague, Czech Republic)

ELLIS Member

  • Large scale specific object recognition
  • Badminton, Volleyball, Tennis
Nikolaos-Antonios Ypsilantis photo
Nikolaos-Antonios Ypsilantis

Czech Technical University (Prague, Czech Republic)

  • Labs
  • TBA

Vision and Sports

  • Deep learning in computer vision
  • Generating images and videos with diffusion models
  • Large scale indexing, retrieval, and learning
  • Variational methods and geometric reconstruction
  • Visual tracking
  • Weakly supervised learning of visual models
  • Large scale Structure-from-Motion
  • Large scale specific object recognition
Tennis photo

Tennis

Volleyball photo

Volleyball

Ultimate Frisbee photo

Ultimate Frisbee

Basketball photo

Basketball

Floorball photo

Floorball

Table tennis photo

Table tennis

Soccer photo

Soccer

Badminton photo

Badminton

Archery photo

Archery

Climbing photo

Climbing


Registration

Application deadlineMay 8 2026
Notification of acceptanceMay 10 2026
Registration deadline for accepted participantsMay 22 2026
Summer schoolAugust 10-15 2026

Application form

Group Registration fee
Master/PhD student 490 €
Academic position other than Master/PhD student 560 €
Industry participant 660 €

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


Venue

Czech Technical University in Prague, Czechia

Check-in at Technicka 2, Prague:

Venue

Summer school campus


Organizers

Contact email address

Local organizers: Eva Matyskova, Stepanka Kreckova, Petra Ivanicova

The event is jointly organized by CSKI and CTU in Prague:

CSKI co-organizer CTU co-organizer

Sponsors

If you are interested in sponsoring VS3 2026, please contact us

ELLIS sponsor ELIAS sponsor

V3S 2026 is co-organised and co-funded by the ELLIS Unit Prague, with the support of ELIAS - European Lighthouse of AI for Sustainability project, funded by the European Union’s Horizon Europe research and innovation programme.