The 3rd Computational Vision Summer School offers a broad perspective on biological vision and computer vision with a thorough understanding of the theoretical and computational challenges involved. The school is unique in bringing together people from diverse disciplines who all share a computational view of vision. The faculty consists of renowned senior researchers in the field, teaching lectures and providing hands-on tutorials on topics ranging from early vision to image understanding.
Date and Venue:
June 30 – July 7, 2019
Am Zollernblick 1, 72250 Freudenstadt, Black Forest, Germany
Ted Adelson (MIT, USA)
Matthias Bethge (University of Tübingen, Germany)
Michael Black (MPI-IS Tübingen, Germany)
EJ Chichilnisky (Stanford University, USA)
Alexei Efros (UC Berkeley, USA)
Sanja Fidler (University of Toronto / NVIDIA, Canada)
Chelsea Finn (UC Berkeley, USA)
Roland Fleming (University Giessen, Germany)
Bill Geisler (UT Austin, USA)
Otmar Hilliges (ETH Zürich, Switzerland)
Mackenzie Mathis (Harvard University, USA)
Bruno Olshausen (UC Berkeley, USA)
Ruth Rosenholtz (MIT, USA)
Stefan Roth (TU Darmstadt, Germany)
Eero Simoncelli (New York University, USA)
Antonio Torralba (MIT, USA)
Raquel Urtasun (University of Toronto / Uber ATG, Canada)
Felix Wichmann (University of Tübingen, Germany)
Li Zhaoping (MPI-IS and University of Tübingen, Germany)
Program Chairs and Advisory Board:
Andreas Geiger, Hendrikje Nienborg, Siyu Tang, Bei Xiao
Matthias Bethge, Michael Black, Felix Wichmann
Speakers will deliver talks and hand-on tutorials. Participants will present spotlights and posters. There is plenty of time for gatherings and leisure activities. Details will follow.
There is no tuition fee. Accomodation and meals will be covered by the school.
Travel costs will be covered by the participants.
The application deadline has passed. We have received 253 applications!
Acceptance decisions will be made available within the next week.
CVSS is organized in collaboration with the Bernstein Center for Computational Neuroscience Tübingen. We acknowledge funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Projektnummer 276693517 – SFB 1233 Robust Vision.