Johann Maximilian Zollner

E-Mail:	maximilian.zollner@tum.de
Telefon:	+49 89 289 555 53
Raum:	109
Anschrift:	Technische Universität München Johann Maximilian Zollner Lise-Meitner-Str. 9 85521 Ottobrunn

Publikationen an der Professur

1. Zollner, J. M., Rieger, C. S., & Werner, M. (2025). A Randomized Data Structure for Efficient Quantum Encoding. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Quantum Computing for Spatial Data Systems and Applications, 22–23. https://doi.org/10.1145/3764923.3777404 [PDF] [Online]
2. Chen, B., Wang, Z., Deuser, F., Zollner, J. M., & Werner, M. (2025). Enhancing Contrastive Learning for Geolocalization by Discovering Hard Negatives on Semivariograms. Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 1162–1165. https://doi.org/10.1145/3748636.3763220 [PDF] [Online]
3. Walther, P., Mansour, W., Zollner, J. M., & Werner, M. (2026). Extending the Applicability of Bloom Filters by Relaxing Their Parameter Constraints. In P. K. Chrysanthis, K. Nørvåg, K. Stefanidis, Z. Zhang, E. Quintarelli, & E. Zumpano (Eds.), New Trends in Database and Information Systems (pp. 14–23). Springer Nature Switzerland. https://doi.org/https://doi.org/10.1007/978-3-032-05727-3_2 [PDF] [Online]
4. Hu, Y., Zollner, J. M., Höschen, C., Werner, M., & Schweizer, S. A. (2025). Quantifying the spatial heterogeneity of soil organic matter and minerals at the microscale based on NanoSIMS meta-analysis. EGU General Assembly Conference Abstracts, EGU25–17384. https://doi.org/https://doi.org/10.5194/egusphere-egu25-17384 [Online]
5. Hu, Y., Zollner, J., Werner, M., Schweizer, S., & Höschen, C. (2024). Two-step unsupervised clustering method on soil nanoscale secondary ion mass spectrometry (NanoSIMS) images to determine the spatial arrangement of minerals and organic matter. European Geosciences Union General Assembly 2024 (EGU24), 16904. https://doi.org/https://doi.org/10.5194/egusphere-egu24-16904 [Online]
6. Zollner, J. M., & Werner, M. (2025). A randomized transformation for data processing on quantum computers. Quantum Machine Intelligence, 7(1), 22. https://doi.org/https://doi.org/10.1007/s42484-025-00250-y [PDF] [Online]
7. Hu, Y., Zollner, J. M., Höschen, C., Werner, M., & Schweizer, S. A. (2024). Automated identification of soil functional components based on NanoSIMS data. Ecological Informatics, 102891. https://doi.org/10.1016/j.ecoinf.2024.102891 [PDF] [Online]
8. Zollner, J. M., Walther, P., & Werner, M. (2024). Satellite Image Representations for Quantum Classifiers. Datenbank-Spektrum, 1–9. https://doi.org/https://doi.org/10.1007/s13222-024-00464-7 [PDF] [Online]
9. Luo, X., Walther, P., Mansour, W., Teuscher, B., Zollner, J. M., Li, H., & Werner, M. (2023). Exploring GeoAI Methods for Supraglacial Lake Mapping on Greenland Ice Sheet. The 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’23), November 13–16, 2023, Hamburg, Germany. https://doi.org/10.1145/3589132.3629971 [PDF] [Online]
10. Li, H., Wang, J., Zollner, J. M., Mai, G., Lao, N., & Werner., M. (2023). Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in Africa. Proceedings of the 31st International Conference on Advances in Geographic Information Systems. https://doi.org/10.1145/3589132.3625598 [PDF] [Online]
11. 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]
12. Zollner, J. M. (2022). Quantum Classifiers for Remote Sensing. Proceedings of the 30th International Conference on Advances in Geographic Information Systems. https://doi.org/10.1145/3557915.3565537 [PDF] [Online]

Andere Publikationen

1. Rußwurm, M., Pelletier, C., Zollner, M., Lefèvre, S., & Körner, M. (2020). BreizhCrops: A Time Series Dataset for Crop Type Mapping. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS (2020).