Jannik Zürn
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Albert-Ludwigs-Universität Freiburg |
This website 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
- Masterpraktikum Deep Learning Lab, SS2019
- FreiCar: Practical Autonomous Driving, WS2020/21
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
- Optical Flow based Window Detection, G. Stief, 2020, Bachelor Thesis
- Sound Event Localization and Detection, 2020, Master Thesis
Publications
Conference Papers
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Johan Vertens,
Jannik Zürn,
Wolfram Burgard,
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images
IEEE International Conference on Intelligent Robots and Systems (IROS), 2020.
Download Website BibTeX
Journal Articles
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Jannik Zürn,
Wolfram Burgard
Abhinav Valada,
Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning
IEEE Transactions on Robotics, 2019.
Download Website Video BibTeX