1. Dynamic Robot-Assisted Surgery with Hierarchical Class-Incremental Semantic Segmentation, MICCAI Workshop on Applications of Medical Artificial Intelligence, 2025.
2. Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.
3. Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.
4. Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception, IEEE Automation and Robotics Letters (RA-L), vol. 10, no. 2, pp. 1904-1911, 2025.
5. INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields, IEEE Robotics and Automation Letters (RA-L), vol. 8, no. 9, pp. ...
Research Experience
SS2024: Co-organizer, Laboratory: Deep Learning Lab, University of Freiburg
WS2023/24: Co-organizer, Seminar: Robot Learning, University of Freiburg
SS2023: Supervisor, Seminar: Robot Learning, University of Freiburg
WS2022/23: Co-organizer, Foundations of Deep Learning, University of Freiburg
Education
09/2022 - current: Ph.D. Student in the Robot Learning Lab, University of Freiburg
09/2021 - 12/2021: Visiting student at Université de Montréal/MILA, Montreal, Canada
09/2020 - 08/2022: M.Sc. in Artificial Intelligence, Maastricht University
10/2016 - 08/2019: B.Sc. in Information Systems, University of Erlangen-Nuremberg
Background
Research Interests: Perception, Open-World Learning, Limited Human Supervision