Our group investigates foundational research problems that enable artificial intelligence (AI) systems to become a reliable component of our everyday lives.

The most important limitation of current AI systems is that they fail to give reliable predictions in unseen or adverse conditions. For example, computer vision systems are unreliable when objects are partially occluded, seen in an unusual pose or context, or in bad weather. This lack of generalization in AI systems is generally acknowledged but largely remains unsolved. Our working hypothesis is that AI models need to develop a causal generative understanding of our world to close the gap to the flexible and general-purpose visual intelligence of humans.

Dr. Adam Kortylewski
Group Leader


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We are constantly looking for highly motivated PhD students, visiting students and interns to join our team.

News

[Oct 2023] Two papers accepted to WACV.
[Oct 2023] One paper accepted to NeurIPS.
[Oct 2023] Olaf Dünkel joined our lab as a PhD student, welcome!
[Aug 2023] Adam will serve as Area Chair for CVPR 2024. Great honor!
[Aug 2023] One paper accepted to TPAMI.
[Aug 2023] One paper accepted to the journal track of SIGGRAPH ASIA 2023. Paper will soon be available online.
[Jul 2023] Two papers accepted at ICCV 2023.
[May 2023] Leonhard Sommer joined our lab as a PhD student, welcome!
[Mar 2023] We will organize the 2nd Workshop on Out Of Distribution Generalization in Computer Vision at ICCV 2023.
[Mar 2023] We will organize the 4th Workshop on Adversarial Robustness in the Real World at ICCV 2023.
[Mar 2023] Adam will give a talk at the 5th Workshop on Vision for All Seasons: Adverse Weather and Lighting Conditions at CVPR 2023.
[Mar 2023] Our paper was selected as highlight at CVPR 2023 (top 2.5%)!
[Mar 2023] Adam will serve as Area Chair for NeurIPS 2023. Great honor!
[Feb 2023] Three papers (one highlight) accepted at CVPR 2023.
[Feb 2023] Adam will give a talk at the TrustML Young Scientist Seminar in March.
[Feb 2023] Adam will give a talk at the Workshop on Practical Deep Learning in the Wild at AAAI 2023.
[Jan 2023] Two papers accepted at ICLR 2023.
[Jan 2023] Two papers accepted at EUROGRAPHICS 2023.
[Dec 2023] We will organize the Workshop on Generative Models for Computer Vision at CVPR 2023.
[Oct 2022] Join us at ECCV 2022 in the Workshop on Out Of Distribution Generalization in Computer Vision.
[Oct 2022] Two papers accepted at WACV 2023.
[Sep 2022] Best paper honorable mention at VMV 2022.
[Jul 2022] Three papers (one oral) at ECCV 2022 .
[Jul 2022] Adam Kortylewski was appointed as Emmy Noether group leader at the University of Freiburg.
[Apr 2022] We organize three Workshops at ECCV 2022! We cover different aspects of robustness in computer vision:
Out-of-distribution generalization, Cross-dataset generalization, and Adversarial Robustness.
[Mar 2022] Four papers (one oral) at CVPR 2022.
[Feb 2022] Adam Kortylewski was appointed as research group leader at the Max Planck Instutite for Informatics.