Machine Learning and Computer Vision

Established: January 9, 2019

Mission

To provide a forum for meaningful scientific interactions between leading European Computer Vision researchers.

Highlights

We have held four in-person workshops: in San-Sebastian, Metzingen (2023), Modena and Tübingen (2025). We also had two virtual workshops during the pandemic.

Program Directors

Unit Director • Program Director • Fellow

Max Planck Institute for lnformatics (MPI-INF)

Saarland University (UdS)

Cordelia Schmid

Program Director • Fellow

National Institute for Research in Digital Science and Technology (Inria)

Program Director • Fellow

Hebrew University of Jerusalem

People

University of Oxford

University of Tübingen

Max Planck Institute for Intelligent Systems (MPI-IS)

Andrew Zisserman

University of Oxford

Artificial Intelligence Consultant

French National Centre for Scientific Research (CNRS)

Huawei Research

Unit Director • Fellow

Technical University of Munich (TUM)

National Institute for Research in Digital Science and Technology (Inria)

École Normale Supérieure (ENS)

National Institute for Research in Digital Science and Technology (Inria)

PSL University (PSL)

Czech Technical University in Prague (CTU)

Unit Director • Fellow

École Normale Supérieure (ENS)

National Institute for Research in Digital Science and Technology (Inria)

Czech Technical University in Prague (CTU)

Unit Director • Fellow

Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

Michael J. Black

Max Planck Institute for Intelligent Systems (MPI-IS)

Weizmann Institute of Science

Unit Director • Fellow

University of Modena and Reggio Emilia (UNIMORE)

University of Copenhagen (UCPH)

Unit Director • Fellow

Technical University of Darmstadt (TU Darmstadt)

University of Freiburg

Tinne Tuytelaars

Czech Technical University in Prague (CTU)

Technical University of Munich (TUM)

Contact

Program Director • Fellow

Hebrew University of Jerusalem

European Laboratory for Learning and Intelligent Systems