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Georg Krispel

2 accepted papers

2023

GACE: Geometry Aware Confidence Enhancement for Black-Box 3D Object Detectors on LiDAR-Data

ICCV 2023poster

Widely-used LiDAR-based 3D object detectors often neglect fundamental geometric information readily available from the object proposals in their confidence estimation. This is mostly due to architectural design choices, which were often adopted from the 2D image domain, where geometric context is ra…

Cited by 4PDFcodeScholar
2022

OccAM's Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data

CVPR 2022poster

While 3D object detection in LiDAR point clouds is well-established in academia and industry, the explainability of these models is a largely unexplored field. In this paper, we propose a method to generate attribution maps for the detected objects in order to better understand the behavior of such…

Cited by 25PDFcodeScholar