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Artur Jesslen

Ph.D. Student
University of Freiburg
jesslen@cs.uni-freiburg.de


About Me

I am currently a third-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.

News

[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

  1. ECCV 2024
    NOVUM: Neural Object Volumes for Robust Object Classification
    Artur Jesslen, Guofeng Zhang, Angtian Wang, Wufei Ma, Alan Yuille, and Adam Kortylewski
    ECCV, 2024.
    PDF [coming soon] Code [coming soon] 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
    ECCV, 2024.
    PDF [Coming soon] Code [Coming soon] Project Page [Coming soon] BibTex
    CVPR 2024
    Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos
    Leonhard Sommer, Artur Jesslen, Eddy Ilg, and Adam Kortylewski
    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
    ICCV, 2023.
    PDF Project Page BibTex
    Journal review
    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
    In review, 2023.
    Arxiv Project Page BibTex

Services

Conference Reviews

2024
2023
2022

Journal Reviews

2023

Workshops Organization

2024
2023