Holger Caesar

Holger Caesar is a tenured Assistant Professor at Delft University of Technology (TU Delft) in the Intelligent Vehicles Lab. He leads research on scalable approaches for autonomous vehicle perception, prediction, and data annotation, with a focus on sensor fusion, domain adaptation, and minimal supervision. His work has been cited over 15,000 times.

Education

• PhD in Computer Vision, University of Edinburgh
• Prior studies at KIT Karlsruhe, EPF Lausanne, and ETH Zurich

Research Interests span autonomous driving perception, weakly supervised learning, novel view synthesis (NeRFs), diffusion models, and collaborative perception. He emphasizes reducing reliance on manual annotations through active learning and partial labeling techniques.

Recent Publications include work on 4D Gaussian Splatting, camera-radar fusion, open-set scene graph generation, and safety benchmarking. These reflect trends toward multi-modal perception, robust sensor fusion, and foundation models for scalable autonomous systems.

Scientific Awards

• ELLIS Europe Scholar (2024)
• TU Delft Cohesion Grant (100k EUR, 2024)
• Climate Action Grant (30k EUR, 2024)
• TKI High Tech Systems Grant (502k EUR, 2022)
• AiNed XS Grant (80k EUR, 2023)
• Argoverse Scene Flow Challenge Winner (unsupervised track, 2024)

Advising & Grants include EU Horizon funding for the MOSAIC project (1 PhD and 1 Postdoc, 2024), EU KDT Cynergie4MIE grant (450k EUR, 2024), and industrial collaborations with Bosch, Motional, and partners across Europe.

Labs & Teams include the Intelligent Vehicles Lab at TU Delft and founding roles in Motional's Data Annotation, Autolabeling, and Data Mining teams. He co-organizes workshops at ICCV, CVPR, and NCCV, and leads the ELLIS Delft Unit seminar series.