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David Schinagl
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Learning pose specific representations by predicting different views
G Poier, D Schinagl, H Bischof
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
302018
Murauer: Mapping unlabeled real data for label austerity
G Poier, M Opitz, D Schinagl, H Bischof
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1393-1402, 2019
202019
OccAM's Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data
D Schinagl, G Krispel, H Possegger, PM Roth, H Bischof
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
122022
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds
G Krispel, D Schinagl, C Fruhwirth-Reisinger, H Possegger, H Bischof
arXiv preprint arXiv:2212.07207, 2022
62022
GACE: Geometry Aware Confidence Enhancement for Black-box 3D Object Detectors on LiDAR-Data
D Schinagl, G Krispel, C Fruhwirth-Reisinger, H Possegger, H Bischof
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
Being lazy at labelling for pose estimation
G Poier, D Schinagl, H Bischof
42nd Annual Workshop of the Austrian Association for Pattern Recognition …, 2018
2018
Supplemental Material for OccAM’s Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data
D Schinagl, G Krispel, H Possegger, PM Roth, H Bischof
Supplementary Material for Learning Pose Specific Representations by Predicting Different Views
G Poier, D Schinagl, H Bischof
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