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Christian Fruhwirth-Reisinger
Christian Fruhwirth-Reisinger
Verified email at icg.tugraz.at
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Cited by
Year
FAST3D: Flow-Aware Self-Training for 3D Object Detectors
C Fruhwirth-Reisinger, M Opitz, H Possegger, H Bischof
British Machine Vision Conference (BMVC), 2021
102021
MAELi: Masked autoencoder for large-scale LiDAR point clouds
G Krispel, D Schinagl, C Fruhwirth-Reisinger, H Possegger, H Bischof
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
72024
DRT: Detection Refinement for Multiple Object Tracking.
B Wang, C Fruhwirth-Reisinger, H Possegger, H Bischof, G Cao, ...
BMVC, 235, 2021
72021
Towards data-driven multi-target tracking for autonomous driving
C Fruhwirth-Reisinger, G Krispel, H Possegger, H Bischof
Proceedings of the 25th Computer Vision Winter Workshop (CVWW), Rogaska …, 2020
72020
Sailor: Scaling anchors via insights into latent object representation
D Malić, C Fruhwirth-Reisinger, H Possegger, H Bischof
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
22023
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
Supplementary Material: DRT: Detection Refinement for Multiple Object Tracking
B Wang, C Fruhwirth-Reisinger, H Possegger, H Bischof, G Cao, ...
2021
Supplementary Material for MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds
GKD Schinagl, C Fruhwirth-Reisinger, HPH Bischof
Supplementary Material for SAILOR: Scaling Anchors via Insights into Latent Object Representation
D Malic, C Fruhwirth-Reisinger, H Possegger, H Bischof
Supplementary Material FAST3D: Flow-Aware Self-Training for 3D Object Detectors
C Fruhwirth-Reisinger, M Opitz, H Possegger, H Bischof, EM Learning
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