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Jannik Zürn

Albert-Ludwigs-Universität Freiburg
Technische Fakultät
Autonome Intelligente Systeme
Georges-Köhler-Allee 080
D-79110 Freiburg i. Br., Germany
Office:   080-00-008

zuern@informatik.uni-freiburg.de
Phone:   +49 761 203-8011
Fax:   +49 761 203-8007

This webiste is only updated periodically. For more information, please visit my personal homepage.

About me

  • 12/2018 - up to now: Working at the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard as Ph.D. student.
  • 08/2015 - 10/2018: Master of Science in Theoretical Mechanical Engineering with minor in Computational Mechanics and Robotics, Karlsruhe Institute of Technology (KIT)
  • 10/2011 - 08/2015: Bachelor of Science in Mechanical Engineering with minor in Continuum Mechanics, Karlsruhe Institute of Technology (KIT)

Research Interests

In my daily research, I aim at bringing Robotics and Artificial Intelligence, especially Deep Learning, closer together. My goal is to enable autonomous robots to better understand their surroundings with the sensors they have and to allow them to more accurately and robustly navigate through those surroundings in precence of adversarial influences such as sensor noise, uncertainties, and occlusion. More specifically, those topics include mainly:
  • Robot Perception
  • Weakly-Supervised Robot Learning
  • Semi-Supervised Robot Learning

Current Research Projects

Teaching

Lectures

Students Supervised

  • Semantic Segmentation of Curb and Curb Cuts in Street Imagery, Y. Satyawan, 2019, Bachelor Thesis
  • Multimodal Object Tracking with Deep Learning, T. Krautschneider, 2019, Bachelor Thesis (ongoing)
  • Optical Flow based Window Detection, G. Stief, 2020, Bachelor Thesis (ongoing)

Publications

Preprints

  • Johan Vertens, Jannik Zürn, Wolfram Burgard,
    HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images
    arXiv preprint arXiv:2003.04645, 2020.
    Download Website BibTeX
  • Jannik Zürn, Wolfram Burgard Abhinav Valada,
    Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning
    arXiv preprint arXiv:1912.03227, 2019.
    Download Website Video BibTeX
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