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. Dr. 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/.

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.

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]

• July 2022 - October 2022:
  Research Internship Vehicle Trajectory Prediction at VITA (EPFL)

• April 2020 - July 2022:
  Founder, CTO, and Propulsion Engineer at mu-zero HYPERLOOP

• 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

• 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

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