Balthasar Teuscher

E-Mail:	balthasar.teuscher@tum.de
Telefon:	+49 89 289 555 56
Raum:	109
Anschrift:	Technische Universität München Balthasar Teuscher Lise-Meitner-Str. 9 85521 Ottobrunn

Publikationen

Teuscher, B., & Werner, M. (2024). PC-LMT: The Point Cloud Log Merge Tree for the Helena Point Cloud Database. Proceedings of the 12th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 1–9. https://doi.org/10.1145/3681763.3698476 [PDF] [Online]
Teuscher, B., & Werner, M. (2024). Random Data Distribution for Efficient Parallel Point Cloud Processing. AGILE: GIScience Series, 5, 15. https://doi.org/10.5194/agile-giss-5-15-2024 [PDF] [Online]
Li, H., Wang, J., Teuscher, B., Luoa, P., Hong, D., Mai, G., & Werner, M. (2024). GIMI: A Geographical Generalizable Image-to-Image Search Engine with Location-explicit Contrastive Embedding. ICLR 2024 Workshop on Machine Learning in Remote Sensing(ML4RS). [PDF]
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]
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]
Teuscher, B., Geißendörfer, O., Luo, X., Li, H., Anders, K., Holst, C., & Werner, M. (2024). Efficient In-Memory Point Cloud Query Processing. In T. H. Kolbe, A. Donaubauer, & C. Beil (Eds.), Recent Advances in 3D Geoinformation Science (pp. 267–286). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43699-4_16 [PDF] [Online]
Teuscher, B., Xiong, Z., & Werner, M. (2023). An Augmentation Framework for Efficiently Extracting Open Educational Resources from Slideshows. 9th International Conference on Higher Education Advances (HEAd’23). https://doi.org/10.4995/HEAd23.2023.16169 [PDF] [Online]