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Maximilian Bömer

2 accepted papers

2026

LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding

AAAI 2026technical

Large-scale scene data is essential for training and testing in robot learning. Neural reconstruction methods have promised the capability of reconstructing large physically-grounded outdoor scenes from captured sensor data. However, these methods have baked-in static environments and only allow for

Cited by 0SourcePDFScholar
2024

Neural Exposure Fusion for High-Dynamic Range Object Detection

CVPR 2024poster

Computer vision in unconstrained outdoor scenarios must tackle challenging high dynamic range (HDR) scenes and rapidly changing illumination conditions. Existing methods address this problem with multi-capture HDR sensors and a hardware image signal processor (ISP) that produces a single fused image…

Cited by 2SourcePDFScholar