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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

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

JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation

Shishir Muralidhara; Sravan Kumar Jagadeesh; René Schuster; Didier Stricker

In: SN Computer Science (SNCS), Vol. 5, Pages 0-16, Springer, 2024.

To the publication

Learned Fusion: 3D Object Detection using Calibration-Free Transformer Feature Fusion

David Michael Fürst; Rahul Jakkamsetty; René Schuster; Didier Stricker

In: Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2024), February 24-26, Rome, Italy, SCITEPRESS, 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