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Johannes Gilg
Johannes Gilg
Research Assistant at Technical University Munich
Verified email at tum.de
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Cited by
Cited by
Year
Gaitgraph: Graph convolutional network for skeleton-based gait recognition
T Teepe, A Khan, J Gilg, F Herzog, S Hörmann, G Rigoll
2021 IEEE International Conference on Image Processing (ICIP), 2314-2318, 2021
1782021
Towards a deeper understanding of skeleton-based gait recognition
T Teepe, J Gilg, F Herzog, S Hörmann, G Rigoll
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
592022
Lightweight multi-branch network for person re-identification
F Herzog, X Ji, T Teepe, S Hörmann, J Gilg, G Rigoll
2021 IEEE International conference on image processing (ICIP), 1129-1133, 2021
462021
Synthehicle: multi-vehicle multi-camera tracking in virtual cities
F Herzog, J Chen, T Teepe, J Gilg, S Hörmann, G Rigoll
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
82023
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception
P Wolters, J Gilg, T Teepe, F Herzog, A Laouichi, M Hofmann, G Rigoll
arXiv preprint arXiv:2403.07746, 2024
12024
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View
T Teepe, P Wolters, J Gilg, F Herzog, G Rigoll
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
12024
The box size confidence bias harms your object detector
J Gilg, T Teepe, F Herzog, G Rigoll
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
12023
Lifting Multi-View Detection and Tracking to the Bird's Eye View
T Teepe, P Wolters, J Gilg, F Herzog, G Rigoll
arXiv preprint arXiv:2403.12573, 2024
2024
Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration
J Gilg, T Teepe, F Herzog, P Wolters, G Rigoll
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
Modularity: Building Blocks for AI
P Bunnenberg, S Böck, J Gilg, T Weinländer, H Wiedemann
Research Paths Towards Thinking AI, 45, 0
Supplementary: The Box Size Confidence Bias Harms Your Object Detector
J Gilg, T Teepe, F Herzog, G Rigoll
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Articles 1–11