Open Problems in Computer Vision and Generative Modelling, July 17/18, 2024
Workshop

ELLIS Workshop on Open Problems in Computer Vision & Generative Modelling

July 17th, 2024 - July 18th, 2024
Munich
ELLIS Society and the DAGM invite to an international workshop on "Open Problems in Computer Vision & Generative Modelling" hosted by the BAdW and organized by Prof. Dr. Björn Ommer (LMU Munich).

This workshop aims to discuss the major challenges and the most promising future research directions in computer vision, particularly in light of the rapid advancements in generative modeling. Will take place on 17 & 18 July 2024.

Leading experts from the field will present their views, and there will be ample time for lively, thought-provoking discussions involving the audience. Confirmed speakers from the US and Europe include Alexei A. Efros (UC Berkeley), Amir Zamir (EPFL Lausanne), Ben Poole (Google DeepMind), Bernt Schiele (MPI for Informatics), Christian Rupprecht (University of Oxford), Ishan Misra (Facebook AI Research), Lucas Beyer (Google Brain Zurich), Marc Pollefeys (ETH Zurich), Pietro Persona (Caltech), Thomas Brox (University of Freiburg), Vincent Sitzmann (MIT).

Speakers

Alexei A. Efros (UC Berkeley), Amir Zamir (EPFL Lausanne), Ben Poole (Google DeepMind), Bernt Schiele (MPI for Informatics), Christian Rupprecht (University of Oxford), Ishan Misra (Facebook AI Research), Lucas Beyer (Google Brain Zurich), Marc Pollefeys (ETH Zurich), Pietro Persona (Caltech), Thomas Brox (University of Freiburg), Vincent Sitzmann (MIT)

Please note that spots are limited. To secure your place, kindly send an email to (johannes.busch@badw.de) by June 23, 2024. After this deadline, we will inform you about the status of your application. We look forward to your participation.

Cooperation

Bayerisches Forschungsinstitut für Digitale Transformation (bidt), baiosphere, LMU München, European Laboratory for Learning and Intelligent Systems (ELLIS), The German Association for Pattern Recognition (DAGM)

Venue

Bayerische Akademie der Wissenschaften
Alfons-Goppel-Straße 11
80539 München
Plenarsaal, 1. Stock

Visit the event website here.

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