About
Daan de Geus is a Researcher in the Department of Computer Science at RWTH Aachen University, Faculty of Mathematics, Computer Science and Natural Sciences, focusing on computer vision and machine learning for autonomous systems and image generation.
His core research interests include:
- Computer Vision
- Autonomous Driving
- Deep Learning
- Trajectory Prediction
- Diffusion Models
Recent work demonstrates breakthroughs in trajectory forecasting via decoder-only architectures (DONUT) and ultra-efficient diffusion model fine-tuning, achieving state-of-the-art performance in motion prediction and depth estimation while drastically reducing computational overhead.
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