Patrick Wenzel

PhD Student in Computer Vision / Machine Learning

I'm Patrick, a PhD student in the field of machine learning / computer vision in the Computer Vision Group at the Technical University of Munich.

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News

• July 2022: We are organizing a workshop on Map-Based Localization for Autonomous Driving at ECCV 2022.
• December 2021: Excited to join Niantic as a Research Intern.
• May 2021: Excited to join Facebook Reality Labs as a Research Intern.
• April 2021: 4Seasons dataset is now public.
• April 2021: We are organizing a workshop on Map-Based Localization for Autonomous Driving at ICCV 2021 (Stream).
• May 2020: We are organizing a workshop on Map-Based Localization for Autonomous Driving at ECCV 2020 (Morning Session, Afternoon Session).

Publications

• 4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions
  Patrick Wenzel, Nan Yang, Rui Wang, Niclas Zeller, Daniel Cremers
  arXiv, 2022
  [arXiv] [bibtex] [project webpage]
• Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning
  Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
  Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2021
  [arXiv] [bibtex]
• Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry
  Qadeer Khan, Patrick Wenzel, Daniel Cremers
  International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
  [arXiv] [bibtex]
• LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
  Lukas von Stumberg*, Patrick Wenzel*, Nan Yang, Daniel Cremers
  Proceedings of the International Conference on 3D Vision (3DV), 2020
  [arXiv] [bibtex] [project webpage]
• 4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving
  Patrick Wenzel, Rui Wang, Nan Yang, Qing Cheng, Qadeer Khan, Lukas von Stumberg, Niclas Zeller, Daniel Cremers
  Proceedings of the German Conference on Pattern Recognition (GCPR), 2020
  [arXiv] [bibtex] [project webpage] [teaser] [spotlight]
• GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization
  Lukas von Stumberg*, Patrick Wenzel*, Qadeer Khan, Daniel Cremers
  IEEE Robotics and Automation Letters (RA-L), 2020
  [arXiv] [bibtex] [project webpage] [video]
• Towards Generalizing Sensorimotor Control Across Weather Conditions
  Qadeer Khan*, Patrick Wenzel*, Daniel Cremers, Laura Leal-Taixé
  Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
  [arXiv] [bibtex]
• Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs
  Patrick Wenzel*, Qadeer Khan*, Daniel Cremers, Laura Leal-Taixé
  Conference on Robot Learning (CoRL), 2018
  [arXiv] [bibtex]