September 28 - October 1, 2021
as a virtual conference. The program features:
Keynote Speakers:
David Forsyth (University of Illinois at Urbana-Champaign)
Kristen Grauman (University of Texas at Austin, Facebook AI Research)
Thorsten Joachims (Cornell University)
Jiri Matas (Czech Technical University, Prague)
Discuss with our speakers Unsolved Problems in Pattern Recognition:
Thomas Brox (University of Freiburg)
Joachim M. Buhmann (ETH Zurich)
David Forsyth (University of Illinois at Urbana-Champaign)
Kristian Kersting (TU Darmstadt)
Anna Khoreva (Bosch Center for Artificial Intelligence)
Laura Leal-Taixé (TU Munich)
Jiri Matas (Czech Technical University, Prague)
Tutorial:
Tutorial on Geometric Deep Learning by Emanuele Rodolà (Sapienza University of Rome)
Workshop:
Scene Understanding in Unstructured Environments
Nectar Tracks:
Machine Learning & Pattern Recognition and Computer Vision Nectar Track
Organizers:
Juergen Gall (University of Bonn)
Christian Bauckhage (University of Bonn)
Alexander Schwing (University of Illinois at Urbana-Champaign)
Michael Möller (University of Siegen)
Wolfgang Förstner (University of Bonn)