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职业迁徙
个人简介
He serves in the Bavarian AI Council, as an associate editor for the journal IEEE T-PAMI, and previously for Pattern Recognition Letters. Björn is an ELLIS Fellow, an ELLIS unit faculty of the ELLIS unit Munich, affiliated with the Helmholtz foundation, and a PI of the Munich Center for Machine Learning (MCML). He has served as program chair for GCPR, as Senior Area Chair and Area Chair for multiple CVPR, ICCV, ECCV, and NeurIPS conferences, and as workshop and tutorial organizer at these venues. Björn delivered the opening keynote at NeurIPS’23.
Research Interests
All aspects of semantic image and video understanding based on (deep) machine learning;
esp.: generative approaches for visual synthesis (e.g. Stable Diffusion), invertible deep models for explainable AI, deep metric and representation learning, and self-supervised learning paradigms and their interdisciplinary applications in the digital humanities and neurosciences.
Research Interests
All aspects of semantic image and video understanding based on (deep) machine learning;
esp.: generative approaches for visual synthesis (e.g. Stable Diffusion), invertible deep models for explainable AI, deep metric and representation learning, and self-supervised learning paradigms and their interdisciplinary applications in the digital humanities and neurosciences.
研究兴趣
论文共 133 篇作者统计合作学者相似作者
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Medical Imaging 2024: Physics of Medical Imaging (2024)
arxiv(2024)
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CoRR (2024)
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Ming Gui, Johannes S. Fischer, Ulrich Prestel,Pingchuan Ma,Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu,Björn Ommer
CoRR (2024)
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CVPR 2023pp.11070-11081, (2023)
Computer Graphics Forum (2023)
CoRR (2023)
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