Artur Jesslen

Ph.D. Student
University of Freiburg

About Me

I am currently a second-year Ph.D. student at the University of Freiburg. I am part of the Generative Vision and Robust Learning group, led by Adam Kortylewski.

My research lies at the intersection of Computer Vision, Machine Learning, and Computer Graphics. My main goal is to develop generative vision models that enable to reliably perceive the world. Specifically, I study computer vision from a generative perspective, with the hypothesis that vision systems must develop a causal 3D understanding using an analysis‐by‐synthesis approach. My research has demonstrated that these generative vision models are robust, efficient learners that can simultaneously solve various vision tasks.


[Feb, 2024] One paper accepted to CVPR 2024!
[Apr, 2024] I am glad to co-host the 3rd Workshop for Out-of-Distribution Generalization in Computer Vision Foundation Models at ECCV 2024.
[July, 2023] One paper accepted to ICCV 2023!
[July, 2023] ICCV 2023's OOD-CV challenge released.
[May, 2023] I am attending the Generative Modeling Summer School (GeMSS) in Copenhagen, June 26th to 30th.
[Mar, 2023] I am glad to co-host the 2nd Workshop on Out Of Distribution Generalization in Computer Vision at ICCV 2023.
[Jul, 2022] I am excited to start a Ph.D. at the University of Freiburg as part of the Generative Vision and Robust Learning group and the Computer Vision group.


  1. CVPR 2024
    Leonhard Sommer, Artur Jesslen, Eddy Ilg and Adam Kortylewski
    CVPR, 2024.
    ICCV 2023
    Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan Yuille and Adam Kortylewski
    ICCV, 2023.
    In review
    Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan Yuille and Adam Kortylewski
    In review, 2023.


Conference Reviews


Journal Reviews


Workshops Organization