| Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation F Deuser, K Habel, N Oswald Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15 | 2023 |
| Clip-reident: Contrastive training for player re-identification K Habel, F Deuser, N Oswald Proceedings of the 5th International ACM Workshop on Multimedia Content …, 2022 | 11 | 2022 |
| SoccerNet 2023 challenges results A Cioppa, S Giancola, V Somers, F Magera, X Zhou, H Mkhallati, ... arXiv preprint arXiv:2309.06006, 2023 | 6 | 2023 |
| Kinetosis Analyzation of the symptoms occurrence in combination with eye tracking F Deuser, H Schieber, C Lecon 15th International Conference on Information Technology & Computer Science, 2019 | 4 | 2019 |
| Unimodal Multi-Task Fusion for Emotional Mimicry Intensity Prediction T Hallmen, F Deuser, N Oswald, E André Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2* | 2024 |
| Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation F Deuser, K Habel, M Werner, N Oswald Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World …, 2023 | 2 | 2023 |
| Nerftrinsic four: An end-to-end trainable nerf jointly optimizing diverse intrinsic and extrinsic camera parameters H Schieber, F Deuser, B Egger, N Oswald, D Roth arXiv preprint arXiv:2303.09412, 2023 | 2 | 2023 |
| Less Is More: Linear Layers on CLIP Features as Powerful VizWiz Model F Deuser, K Habel, PJ Rösch, N Oswald arXiv preprint arXiv:2206.05281, 2022 | 2 | 2022 |
| Applying automated damage classification during digital inspection of structures J Flotzinger, PJ Rösch, F Deuser, T Braml, S Reim, B Maradni Current Perspectives and New Directions in Mechanics, Modelling and Design …, 2022 | 1 | 2022 |
| Bavaria Buildings-A Novel Dataset for Building Footprint Extraction, Instance Segmentation, and Data Quality Estimation M Werner, H Li, JM Zollner, B Teuscher, F Deuser Proceedings of the 31st ACM International Conference on Advances in …, 2023 | | 2023 |
| Zero-Shot Multimodal Deep Learning Models for Military Vehicle Detection–An Analysis PJ Rösch, F Deuser, K Habel, N Oswald | | |
| ATINER's Conference Paper Series COM2019-2660 F Deuser, H Schieber, C Lecon | | |
Konrad HabelPhD-Student, University of the Bundeswehr Munich在 unibw.de 的电子邮件经过验证
Konrad HabelPhD-Student, University of the Bundeswehr Munich在 unibw.de 的电子邮件经过验证
Hannah SchieberTU Munich / FAU Erlangen-Nürnberg在 fau.de 的电子邮件经过验证
Martin WernerProfessorship for Big Geospatial Data Management, TU München在 tum.de 的电子邮件经过验证