Schinagl, David

6 publications

NeurIPS 2025 STSBench: A Spatio-Temporal Scenario Benchmark for Multi-Modal Large Language Models in Autonomous Driving Christian Fruhwirth-Reisinger, Dušan Malić, Wei Lin, David Schinagl, Samuel Schulter, Horst Possegger

WACV 2024 MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds Georg Krispel, David Schinagl, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof

ICCV 2023 GACE: Geometry Aware Confidence Enhancement for Black-Box 3D Object Detectors on LiDAR-Data David Schinagl, Georg Krispel, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof

CVPR 2022 OccAM's Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data David Schinagl, Georg Krispel, Horst Possegger, Peter M. Roth, Horst Bischof

WACV 2019 MURAUER: Mapping Unlabeled Real Data for Label AUstERity Georg Poier, Michael Opitz, David Schinagl, Horst Bischof

CVPR 2018 Learning Pose Specific Representations by Predicting Different Views Georg Poier, David Schinagl, Horst Bischof