Lars Doorenbos

I am an Postdoc within the Computer Vision Group of Prof. Juergen Gall at the University of Bonn, Germany. I am also part of the Lamarr Institute. My research focuses on reliable AI, video understanding, and machine learning for science.

Previously, I obtained my Bachelor's and Master's degree from the University of Groningen, the Netherlands, and received my PhD degree from the University of Bern, Switzerland, supervised by Raphael Sznitman and Pablo Márquez Neila.

News

• Two papers accepted at CVPR '26: Video Panels and EgoControl.
• One paper accepted at MICCAI '25: Iterative Deployment Exposure.
• I joined the Computer Vision Group of Prof. Juergen Gall at the University of Bonn as a Postdoc.

Publications

An up-to-date list of all my publications can be found on Google Scholar. Below is a list of recent, representative publications.

• Lars Doorenbos*, Federico Spurio*, Juergen Gall, Video Panels for Long Video Understanding, Computer Vision and Pattern Recognition 2026 Project Page
• Enrico Pallotta*, Sina Mokhtarzadeh Azar*, Lars Doorenbos, Serdar Ozsoy, Umar Iqbal, Juergen Gall, EgoControl: Controllable Egocentric Video Generation via 3D Full-Body Poses, Computer Vision and Pattern Recognition 2026 Project Page
• Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila, Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection, Medical Image Computing and Computer Assisted Interventions 2025
• Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila, Learning Non-linear Invariants for Unsupervised Out-of-Distribution Detection, European Conference on Computer Vision 2024
• Lars Doorenbos*, Eva Sextl*, Kevin Heng, Stefano Cavuoti, Massimo Brescia, Olena Torbaniuk, Giuseppe Longo, Raphael Sznitman, Pablo Márquez-Neila, Galaxy Spectroscopy without Spectra: Galaxy Properties from Photometric Images with Conditional Diffusion Models, The Astrophysical Journal (2024)
• Masoud Moghani, Lars Doorenbos, William Chung-Ho Panitch, Sean Huver, Mahdi Azizian, Ken Goldberg, Animesh Garg, SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants, International Conference on Intelligent Robots and Systems 2024

Career and Education

Career

• Postdoc: Computer Vision Group, University of Bonn, Germany Supervisor: Juergen Gall 2025–Now
• Intern: Holoscan group, NVIDIA Supervisor: Sean Huver 2023

Education

• PhD: University of Bern, Switzerland Supervisors: Raphael Sznitman, Pablo Márquez Neila 2020–2024
• Thesis: Reliably Processing Unexpected and Ambiguous Images in Computer Vision
• Distinction of insigni cum laude, nominated for GCB best thesis award
• MSc: University of Groningen, the Netherlands 2018–2020
• Master thesis at Rice University, USA
• Research project at University of Naples Federico II, Italy
• BSc: University of Groningen, the Netherlands 2014–2018

Academic activities, grants, and awards

• Grants & Fellowships:
  • DAAD AInet fellow - Safety and Security in AI
• Reviewer:
  • Conferences: CVPR, ICCV, ECCV, ICML, ICLR, WACV, MICCAI
  • Journals: TPAMI, CVIU, A&A, MedIA
  • Workshops: ML4PS@NeurIPS
• Current Teaching Involvement:
  • Computer Vision MSc course
  • Advanced Computer Vision MSc course
  • Computer Vision Seminar MSc course
  • Computer Vision Lab MSc course

Website source: przemyslaw-pawelczak.github.io   Last update: April 8, 2026