1 citations · 1 across the 1 of their papers we have counts for
3 papers
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data
David Schinagl, Georg Krispel, Horst Possegger +2
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 pr…
MURAUER: Mapping Unlabeled Real Data for Label AUstERity
Georg Poier, Michael Opitz, David Schinagl +1
Data labeling for learning 3D hand pose estimation models is a huge effort. Readily available, accurately labeled synthetic data has the potential to reduce the effort. However, to…
Learning Pose Specific Representations by Predicting Different Views
Georg Poier, David Schinagl, Horst Bischof
The labeled data required to learn pose estimation for articulated objects is difficult to provide in the desired quantity, realism, density, and accuracy. To address this issue, w…