Fabian Deuser

E-Mail:	fabian.deuser (at) unibw.de
Telefon:	n/a
Raum:	-
Anschrift:	University of the Bundeswehr Munich Fabian Deuser Werner-Heisenberg-Weg 393 85579 Neubiberg

Resarch Interests

• Computer Vision: image retrieval, cross-view image matching, image synthesis
• Multimodal Deep Learning: multimodal representations, large multimodal models
• Machine Learning: contrastive learning, representation learning, hard negative sampling

Awards

• Best Paper Award at the GeoCV Workshop of the WACV 2025
• 1st Place ACM MM 2024 - UAVs in Multimedia: Capturing the World from a New Perspective Challenge
• 1st Place ACM MM 2023 - UAVs in Multimedia: Capturing the World from a New Perspective Challenge

Publications

1. Deuser, F., Mansour, W., Li, H., Habel, K., Werner, M., & Oswald, N. (2025). Temporal Resilience in Geo-Localization: Adapting to the Continuous Evolution of Urban and Rural Environments. Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops, 479–488. https://openaccess.thecvf.com/content/WACV2025W/GeoCV/html/Deuser_Temporal_Resilience_in_Geo-Localization_Adapting_to_the_Continuous_Evolution_of_WACVW_2025_paper.html [PDF] [Online]
2. Walther, P., Deuser, F., & Werner, M. (2024). Multi-Modal Contextualization of Trajectory Data for Advanced Analysis. Datenbank-Spektrum. https://doi.org/10.1007/s13222-024-00484-3 [PDF] [Online]
3. Li, H., Deuser, F., Yin, W., Luo, X., Walther, P., Mai, G., Huang, W., & Werner, M. (2025). Cross-view geolocalization and disaster mapping with street-view and VHR satellite imagery: A case study of Hurricane IAN. ISPRS Journal of Photogrammetry and Remote Sensing, 220, 841–854. https://doi.org/https://doi.org/10.1016/j.isprsjprs.2025.01.003 [PDF] [Online]
4. Deuser, F., Habel, K., Werner, M., & Oswald, N. (2023). Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation. Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 7–11.
5. Werner, M., Li, H., Zollner, J. M., Teuscher, B., & Deuser., F. (2023). Bavaria Buildings - A Novel Dataset for Building Footprint Extraction, Instance Segmentation, and Data Quality Estimation (Data and Resources Paper). Proceedings of the 31st International Conference on Advances in Geographic Information Systems (ACM SIGSPATAIL GIS’23). https://doi.org/10.1145/3589132.3625658 [PDF] [Online]

Other Publications

1. Deuser, F., Habel, K., & Oswald, N. (2023). Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation. 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 16801–16810. https://doi.org/10.1109/ICCV51070.2023.01545
2. Cioppa, A., Giancola, S., Somers, V., Magera, F., Zhou, X., Mkhallati, H., Deliège, A., Held, J., Hinojosa, C., Mansourian, A. M., & others. (2024). SoccerNet 2023 challenges results. Sports Engineering, 27(2), 24. https://doi.org/10.1007/s12283-024-00466-4 [Online]
3. Habel, K., Deuser, F., & Oswald, N. (2022). CLIP-ReIdent: Contrastive Training for Player Re-Identification. Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, 129–135. https://doi.org/10.1145/3552437.3555698 [Online]
4. Schieber, H., Deuser, F., Egger, B., Oswald, N., & Roth, D. (2024). NeRFtrinsic Four: An end-to-end trainable NeRF jointly optimizing diverse intrinsic and extrinsic camera parameters. Computer Vision and Image Understanding, 249, 104206. https://doi.org/https://doi.org/10.1016/j.cviu.2024.104206 [Online]
5. Hallmen, T., Deuser, F., Oswald, N., & André, E. (2024). Unimodal Multi-Task Fusion for Emotional Mimicry Intensity Prediction. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 4657–4665. https://doi.org/10.1109/CVPRW63382.2024.00468