Dr.-Ing. René Schuster

Contact +49 631 20575 3605 (Kaiserslautern)

Address (Kaiserslautern) Trippstadter Straße 12267663 Kaiserslautern

Publications

AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy
Katharina Bendig; René Schuster; Nicole Thiemer; Karen Joisten; Didier Stricker
In: IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, Institute of Electrical and Electronics Engineers (IEEE), 2025.
Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation
Niharika Hegde; Shishir Muralidhara; René Schuster; Didier Stricker
In: IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, IEEE, 2025.
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions
Shishir Muralidhara; René Schuster; Didier Stricker
In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2025), February 23-25, Porto, Portugal, Scitepress, 2025.

COPPER
Continual Optical Perception for Dynamic Environments in and around of Vehicles
The COPPER project aims to develop new concepts in the context of alternative, advanced training strategies for deep neural networks applied in the field of assisted and autonomous driving. In…
FUMOS
Fusion multimodaler optischer Sensoren zur 3D Bewegungserfassung in dichten, dynamischen Szenen für mobile, autonome Systeme
Autonomous vehicles will be an indispensable component of future mobility systems. Autonomous vehicles can significantly increase the safety of driving while simultaneously increasing traffic density.…
DECODE
Continual learning for visual and multi-modal encoding of human surrounding and behavior
Machine Learning, and in particular Artificial Intelligence (AI) in Deep Learning, has revolutionized Computer Vision in almost all areas. These include topics such as motion estimation, object…