Dr.-Ing. René Schuster

Contact +49 631 20575 3605 (Kaiserslautern)

Address (Kaiserslautern) Trippstadter Straße 12267663 Kaiserslautern

Publications

Accounting for Bias Enables Sustainable LLM Evaluation
Harshita Katoch; David Antony Selby; Gerrit Großmann; Sebastian Vollmer
In: Vitor Fortes Rey; René Schuster; Niklas Baumgarten; Sungho Suh; Tobias Christian Nauen (Hrsg.). Proceedings of the 1st Workshop on Sustainability and Resource-Efficiency of Artificial Intelligence (SuRE 2026) at IJCAI 2026. Workshop on Sustainability and Resource-Efficiency of Artificial Intelligence (SuRE-2026), located at IJCAI-ECAI 2026, August 17, Bremen, Germany, CEUR-WS, ISBN 1613-0073,…
SF3D-RGB: Scene Flow Estimation from Monocular Camera and Sparse LiDAR
Rajai Alhimdiat; Ramy Battrawy; René Schuster; Didier Stricker; Wesam Ashour
In: Proceedings of the 2026 Computer Vision Conference (CVC). Computer Vision Conference (CVC-2026), May 21-22, Amsterdam, Netherlands, Springer, 5/2026.
SAILS: Segment Anything with Incrementally Learned Semantics for Task-Invariant and Training-Free Continual Learning
Shishir Muralidhara; Didier Stricker; René Schuster
In: IEEE Conference on Artificial Intelligence. IEEE Conference on Artificial Intelligence (CAI-2026), May 8-10, Granada, Spain, IEEE, 2026.

GEISHR
Generalist Edge Intelligence for Human-Safe Robots
GEIHSR develops a generalist edge-intelligence framework for safe, low-cost, human-centered industrial robotics. The aim is to close the gap between perception and action by combining AI-based…
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…