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Olaf Dünkel

Max-Planck-Institut für Informatik
D6: Visual Computing and Artificial Intelligence
Generative Vision and Robust Learning
 office: Campus E1 4, Room 115E
Saarland Informatics Campus
66123 Saarbrücken
Germany
 email: Get my email address via email
 phone: +49 681 9325-4541
Hi, I am Olaf. I am a second-year Ph.D. student at the Max Planck Institute for Informatics and Saarland University advised by Dr. Adam Kortylewski and Prof. Christian Theobalt. I am part of ELLIS, co-advised by Prof. Christian Rupprecht (VGG, University of Oxford). Find my personal website here: https://odunkel.github.io/.

Research Interests

I am interested in generative models and their application in computer vision. Previously, I worked on uncertainty estimation in vehicle trajectory prediction and learning on rotation manifolds applied to human pose priors.

Publications



    Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels
    O. Dünkel, T. Wimmer, C. Theobalt, C. Rupprecht, A. Kortylewski
    Accepted at ICCV 2025
    [Webpage]

    CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts
    O. Dünkel, A. Jesslen, J. Xie, C. Theobalt, C. Rupprecht, A. Kortylewski
    Accepted at ICCV 2025

    Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space
    L. Sommer, O. Dünkel, C. Theobalt, A. Kortylewski
    Accepted at CVPR 2025
    [Webpage]

    Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling
    O. Dünkel, T. Salzmann, F. Pfaff
    Accepted at CVPR 2024
    [paper]


    Joint Vehicle Trajectory and Cut-In Prediction on Highways using Output Constrained Neural Networks
    M. Brosowsky, P. Orschau, O. Dünkel, P. Elspas, D. Slieter, M. Zöllner
    Accepted at IEEE Symposium Series on Computational Intelligence, 2021
    [paper]
    Sample-Specific Output Constraints for Neural Networks
    M. Brosowsky, F. Keck, O. Dünkel, M. Zöllner
    Accepted at AAAI 2021
    [paper]

Recent Positions

  • July 2022 - October 2022:
    Research Internship Vehicle Trajectory Prediction at VITA (EPFL)
  • November 2019 - April 2020:
    Bachelor's Thesis on Uncertainty Estimation in Vehicle Trajetory Prediction at Porsche AG
  • April 2019 - August 2019:
    Intern for Autonomous Driving and Deep Learning at Porsche AG

Education

  • October 2023 - present:
    Ph. D. student in Computer Science at the Universität des Saarlandes and the Max-Planck-Institut für Informatik
  • 2020 - 2023:
    Master's Studies in Electrical Engineering and Information Technology at Karlsruhe Institute of Technology
    Specialization: Signal Processing and Robotics
  • 2016 - 2020
    Bachelor's Studies in Electrical Engineering and Information Technology at Karlsruhe Institute of Technology

Miscellaneous

In my free time, I enjoy running, hiking, reading, and playing the French horn.