Markus Käppeler

	PhD Student
	Postal address:	Albert-Ludwigs-Universität Freiburg Technische Fakultät Robot Learning Lab Georges-Köhler-Allee 080 D-79110 Freiburg i. Br., Germany
	Office:	080-00-024
	Email:	kaeppelm@cs.uni-freiburg.de

About me

01/2024 - current: Ph.D. Student in the Robot Learning Lab, University of Freiburg
04/2020 - 12/2023: M.Sc. in Computer Science, University of Freiburg
10/2016 - 02/2020: B.Sc. in Applied Computer Science, Konstanz University of Applied Sciences

Research Interests

Robot Perception
Map-Based Perception
Foundation Models for Autonomous Driving
Self-Supervised and Label-Efficient Learning

Current Research Projects

AI-based System Architectures for Autonomous Driving

Teaching

TA, Robot Learning Seminar, University of Freiburg, WS2024/25
TA, Advanced Deep Learning, University of Freiburg, SS2024

Publications

2024

Niclas Vödisch*, Kürsat Petek*, Markus Käppeler*, Abhinav Valada Wolfram Burgard,
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation
arXiv preprint arXiv:2405.19035, 2024,
Paper Video Website BibTeX

@article{voedisch2024pastel,
  title={A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation},
  author={Vödisch, Niclas and Petek, Kürsat and Käppeler, Markus and Valada, Abhinav and Burgard, Wolfram},
  journal={arXiv preprint arXiv:2405.19035},
  year={2024}
}

Markus Käppeler*, Kürsat Petek*, Niclas Vödisch*, Wolfram Burgard, Abhinav Valada
SPINO: Few-Shot Panoptic Segmentation With Foundation Models
IEEE International Conference on Robotics and Automation (ICRA), 2024.,
Paper Video Website BibTeX

@inproceedings{kaeppeler2024spino,
    title={Few-Shot Panoptic Segmentation With Foundation Models},
    author={Käppeler, Markus and Petek, Kürsat and Vödisch, Niclas and Burgard, Wolfram and Valada, Abhinav},
    booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
    year={2024},
    pages={7718-7724}
}