Artur Jesslen | University of Freiburg

About Me

I am currently a third-year Ph.D. student at the University of Freiburg. I am part of the Generative Intelligence 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.

News

[Jun, 2025]	Two papers accepted to ICCV 2025!
[Jul, 2024]	Two papers accepted to ECCV 2024!
[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.
[Jul, 2023]	One paper accepted to ICCV 2023!
[Jul, 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.

Publications

ICCV 2025

CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts

Olaf Dünkel, Artur Jesslen, Jiahao Xie, Christian Theobalt, Christian Rupprecht, and Adam Kortylewski

International Conference on Computer Vision (ICCV), 2025.

PDF [coming soon] Code [coming soon] Project page [coming soon] BibTex

ICCV 2025

Scaling 3D Compositional Models for Robust Classification and Pose Estimation

Xiaoding Yuan, Artur Jesslen, Prakhar Kaushik, Guofeng Zhang, Adam Kortylewski and Alan Yuille

International Conference on Computer Vision (ICCV), 2025.

PDF [coming soon] Code [coming soon] Project page [coming soon] BibTex

TPAMI

OOD‐CV‐v2: An extended Benchmark for Robustness to Out‐of‐Distribution Shifts of Individual Nuisances in Natural Images

Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan Yuille, and Adam Kortylewski

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

Arxiv Article Project Page BibTex

ECCV 2024

NOVUM: Neural Object Volumes for Robust Object Classification

Artur Jesslen, Guofeng Zhang, Angtian Wang, Wufei Ma, Alan Yuille, and Adam Kortylewski

European Conference on Computer Vision (ECCV), 2024.

PDF Code Project page BibTex

ECCV 2024

iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning

Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan Yuille, Adam Kortylewski, and Eddy Ilg

European Conference on Computer Vision (ECCV), 2024.

PDF Code BibTex

CVPR 2024

Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos

Leonhard Sommer, Artur Jesslen, Eddy Ilg, and Adam Kortylewski

Computer Vision and Pattern Recognition (CVPR), 2024.

PDF Supplementary Code Project Page BibTex

ICCV 2023

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape

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

International Conference on Computer Vision (ICCV), 2023.

PDF Project Page BibTex