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Dr.-Ing. René Schuster

Organizational unit Augmented Vision
Contact +49 631 20575 3605 (Kaiserslautern)

Address (Kaiserslautern) Trippstadter Straße 122D-67663 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), Institute of Electrical and Electronics Engineers (IEEE), 2025.

To the publication

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.

To the publication

RMS-FlowNet++: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds

Ramy Battrawy; René Schuster; Didier Stricker

In: International Journal of Computer Vision (IJCV), Vol. 132, Pages 01-22, Springer, 5/2024.

To the publication
All publications

Profile

  • 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.…

    FUMOS

  • 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…

    DECODE