2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Adversarial Defense Teacher for Cross-Domain Object Detection under Poor Visibility Conditions
Kaiwen Wang, Yinzhe Shen, Martin Lauer
Existing object detectors encounter challenges in handling domain shifts between training and real-world data, particularly under poor visibility conditions like fog and night. Cut…
cs.LG2024
PITA: Physics-Informed Trajectory Autoencoder
Johannes Fischer, Kevin Rösch, Martin Lauer +1
Validating robotic systems in safety-critical appli-cations requires testing in many scenarios including rare edgecases that are unlikely to occur, requiring to complement real-wor…
cs.CV2023★ 2 cited
LDFA: Latent Diffusion Face Anonymization for Self-driving Applications
Marvin Klemp, Kevin Rösch, Royden Wagner +2
In order to protect vulnerable road users (VRUs), such as pedestrians or cyclists, it is essential that intelligent transportation systems (ITS) accurately identify them. Therefore…