| 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 | 195 | 2021 |
| 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 | 72 | 2022 |
| 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 | 50 | 2021 |
| Dissected 3D CNNs: Temporal skip connections for efficient online video processing O Köpüklü, S Hörmann, F Herzog, H Cevikalp, G Rigoll Computer Vision and Image Understanding 215, 103318, 2022 | 14 | 2022 |
| 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 | 10 | 2023 |
| Comparative analysis of cnn-based spatiotemporal reasoning in videos O Köpüklü, F Herzog, G Rigoll Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 7 | 2021 |
| Face aggregation network for video face recognition S Hörmann, Z Cao, M Knoche, F Herzog, G Rigoll 2021 IEEE international conference on image processing (ICIP), 2973-2977, 2021 | 6 | 2021 |
| 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 | 5 | 2024 |
| 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 | 2 | 2024 |
| sparselandtools: A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications F Herzog https://doi.org/10.5281/zenodo.4916395, 2021 | 2 | 2021 |
| 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 | 1 | 2024 |
| 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 | 1 | 2023 |
| Face Morphing: Fooling a Face Recognition System Is Simple! S Hörmann, T Kong, T Teepe, F Herzog, M Knoche, G Rigoll arXiv preprint arXiv:2205.13796, 2022 | 1 | 2022 |
| Lifting Multi-View Detection and Tracking to the Bird's Eye View T Teepe, P Wolters, J Gilg, F Herzog, G Rigoll Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Introducing A Framework for Single-Human Tracking Using Event-Based Cameras D Eisl, F Herzog, JL Dugelay, L Apvrille, G Rigoll 2023 IEEE International Conference on Image Processing (ICIP), 3269-3273, 2023 | | 2023 |
| Supplementary: The Box Size Confidence Bias Harms Your Object Detector J Gilg, T Teepe, F Herzog, G Rigoll | | |
Gerhard RigollProfessor for Human-Machine Communication, TU München在 gerhard-rigoll.de 的电子邮件经过验证
