General Chair
Kalle Åström
Lund University
Kalle Åström is Professor of Mathematics at the Centre for Mathematical Sciences at Lund University, Sweden. His research focuses on computer vision, machine learning, image analysis, and the mathematical foundations of perception and autonomous systems. He received his Ph.D. in Mathematics from Lund University in 1996 and has been recognized for his contributions to computer vision and pattern recognition. Åström has co-founded several technology companies, including Decuma, Cognimatics, and Spiideo, and has played a leading role in AI initiatives such as AI Lund. His work bridges fundamental mathematical research with practical applications in artificial intelligence, robotics, healthcare, and autonomous vehicles.
Kalle Åström is Professor of Mathematics at the Centre for Mathematical Sciences at Lund University, Sweden. His research focuses on computer vision, machine learning, image analysis, and the mathematical foundations of perception and autonomous systems. He received his Ph.D. in Mathematics from Lund University in 1996 and has been recognized for his contributions to computer vision and pattern recognition. Åström has co-founded several technology companies, including Decuma, Cognimatics, and Spiideo, and has played a leading role in AI initiatives such as AI Lund. His work bridges fundamental mathematical research with practical applications in artificial intelligence, robotics, healthcare, and autonomous vehicles.
General Chair
Serge Belongie
University of Copenhagen
General Chair
Richard Hartley
Australian National University
General Chair
Jana Košecká
George Mason University
General Chair
Andrea Vedaldi
University of Oxford and Meta
Program Chair
Paolo Favaro
University of Bern
Program Chair
Zuzana Kukelova
Czech Technical University in Prague
Program Chair
Atsuto Maki
KTH Royal Institute of Technology
Program Chair
Anna Rohrbach
TU Darmstadt
Program Chair
Konrad Schindler
ETH Zürich
Program Chair
Federico Tombari
Google, TU Munich
Local Organization Chair
Stella Graßhof
IT University of Copenhagen
Local Organization Chair
Viktor Larsson
Lund University
Industry Liaison Chair
Siavash Bigdeli
Technical University of Denmark
Industry Liaison Chair
Federica Bogo
Meta
Industry Liaison Chair
Ola Friman
SICK Linköping
Tutorial Chair
Søren Hauberg
Technical University of Denmark
Tutorial Chair
Christian Rupprecht
University of Oxford
Tutorial Chair
Josephine Sullivan
KTH Royal Institute of Technology
Workshop Chair
Fabio Galasso
Sapienza University of Rome
Workshop Chair
Joao F Henriques
Visual Geometry Group, University of Oxford
Workshop Chair
Dim Papadopoulos
Technical University of Denmark (DTU)
Demo Chair
Anders Bjorholm Dahl
Technical University of Denmark
Demo Chair
Victor Adrian Prisacariu
Niantic, University of Oxford
Poster Chair
Zuria Bauer
ETH Zürich
Poster Chair
Mårten Björkman
KTH Royal Institute of Technology
Poster Chair
Magnus Oskarsson
Lund University
Doctoral Consortium Chair
Cigdem Beyan
University of Verona
Doctoral Consortium Chair
Or Litany
Technion / Nvidia
Virtual & Web Chair
Lee Campbell
Bioinformatics
Eventhosts
Publication Chair
Marcus Liwicki
Luleå University of Technology
Publication Chair
Hamam Mokayed
Luleå University of Technology
Workshops Publications Chair
Anthony Cioppa
University of Liège
Workshops Publications Chair
Theodora Kontogianni
Technical University of Denmark
Diversity Chair
Amanda Berg
Linköping University
Diversity Chair
Ida-Maria Sintorn
Uppsala University
3D Computer Vision, GenAI, SLAM, Robotics PhD Imperial College London, Research Intern Google Zurich
3D Computer Vision, GenAI, SLAM, Robotics PhD Imperial College London, Research Intern Google Zurich
Communications Chair
Mårten Wadenbäck
Linköping University
Social Activities Chair
Giovanni Maria Farinella
University of Catania
Social Activities Chair
Rikke Gade
Aalborg University
Publicity and Social Media Chair
Konstantinos Derpanis
York University/Samsung AI Centre
Publicity and Social Media Chair
Joakim Bruslund Haurum
University of Southern Denmark
Publicity and Social Media Chair
Guandao Yang
Stanford University
Program Technical Chair
Yoshitomo Matsubara
Yahoo!
Dr. Yoshitomo Matsubara is a Senior Research Scientist at Yahoo! and an ML OSS developer. He completed the Ph.D. program in Computer Science at University of California, Irvine (UCI) and worked on deep learning for resource-constrained edge computing systems with Profs. Marco Levorato, Stephan Mandt, and Sameer Singh. Before UCI, he obtained his Master and Bachelor degrees at University of Hyogo and National Institute of Technology, Akashi College, Japan, respectively.His main research interests are in machine learning, natural language processing, computer vision, information retrieval, and symbolic regression. For deep learning, his main interests are in knowledge distillation and supervised compression. He is also a developer of ML OSS: torchdistill (PyTorch Ecosystem) and sc2bench.
Dr. Yoshitomo Matsubara is a Senior Research Scientist at Yahoo! and an ML OSS developer. He completed the Ph.D. program in Computer Science at University of California, Irvine (UCI) and worked on deep learning for resource-constrained edge computing systems with Profs. Marco Levorato, Stephan Mandt, and Sameer Singh. Before UCI, he obtained his Master and Bachelor degrees at University of Hyogo and National Institute of Technology, Akashi College, Japan, respectively.His main research interests are in machine learning, natural language processing, computer vision, information retrieval, and symbolic regression. For deep learning, his main interests are in knowledge distillation and supervised compression. He is also a developer of ML OSS: torchdistill (PyTorch Ecosystem) and sc2bench.
Finance Chair
Gerard Medioni
Amazon
Ombud
Vedrana Dahl
Technical University of Denmark
Event Producer
Nicole Finn
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