2 papers
cs.CV2025
Self-Supervised Moving Object Segmentation of Sparse and Noisy Radar Point Clouds
Leon Schwarzer, Matthias Zeller, Daniel Casado Herraez +3
Moving object segmentation is a crucial task for safe and reliable autonomous mobile systems like self-driving cars, improving the reliability and robustness of subsequent tasks li…
cs.LG2025
Unsupervised Automata Learning via Discrete Optimization
Simon Lutz, Daniil Kaminskyi, Florian Wittbold +5
Automata learning is a successful tool for many application domains such as robotics and automatic verification. Typically, automata learning techniques operate in a supervised lea…