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Point surfel transformer network for semantic segmentation of large-scale ALS point clouds

X. Zhang, R. Xue, M. Kölle, and U. Sörgel. 42. Wissenschaftlich-Technische Jahrestagung der DGPF, 5.-6. Oktober 2022 in Dresden, page 290-296. Stuttgart, Geschäftsstelle der DGPF;, (2022)
DOI: 10.24407/KXP:1796046701

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Michael Kölle University of Stuttgart

Dr. Bastian Koller University of Stuttgart

Sebastian Koller University of Stuttgart

Markus Koller University of Stuttgart

Michael Kübler University of Stuttgart

Other publications of authors with the same name

Towards Urban Tree Recognition in Airborne Point Clouds with Deep 3D Single-Shot DetectorsS. Schmohl, M. Kölle, R. Frolow, and U. Soergel. Cham, Springer International Publishing, (2021)Learning from the Past : Crowd-Driven Active Transfer Learning for Semantic Segmentation of Multi-Temporal 3d Point CloudsM. Kölle, V. Walter, and U. Sörgel. XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission II, V-2-2022, page 259-266. Copernicus Publications, (2022)A Two-Level Approach for the Crowd-Based Collection of Vehicles from 3D Point CloudsV. Walter, M. Kölle, D. Collmar, and Y. Zhang. XXIV ISPRS Congress "Imaging today, foreseeing tomorrow", Commission IV, V-4-2021, page 97-104. Copernicus Publications, (2021)A two-step approach for the acquisition of individual tree outlines using paid crowdsourcing, Wissenschaftlich-Technische Jahrestagung der DGPF ; 43.D. Collmar, V. Walter, M. Kölle, and U. Sörgel. 43. Wissenschaftlich-Technische Jahrestagung der DGPF, 22.-23. März 2023 in München, Wissenschaftlich-Technische Jahrestagung der DGPF ; 43., page 163--173. Stuttgart, Geschäftsstelle der DGPF;, (2023)WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHESM. Kölle, D. Laupheimer, V. Walter, N. Haala, and U. Soergel. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (June 2021)Remembering Both the Machine and the Crowd When Sampling Points: Active Learning for Semantic Segmentation of ALS Point CloudsM. Kölle, V. Walter, S. Schmohl, and U. Soergel. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, 12667, page 505-520. Cham, Springer International Publishing, (2021)BathyNet: A Deep Neural Network for Water Depth Mapping from Multispectral Aerial ImagesG. Mandlburger, M. Kölle, H. Nübel, and U. Soergel. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 89 (2): 71--89 (2021)The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-StereoM. Kölle, D. Laupheimer, S. Schmohl, N. Haala, F. Rottensteiner, J. Wegner, and H. Ledoux. ISPRS open journal of photogrammetry and remote sensing, 1 (October): 100001 (2021)Flächenhaftes UAV-Monitoring : das Hessigheim-ProjektM. Cramer, M. Kölle, N. Haala, and P. Havel. Allgemeine Vermessungs-Nachrichten, 127 (03): 107-117 (2020)Measuring the Wisdom of the Crowd : How Many is Enough?V. Walter, M. Kölle, and D. Collmar. Journal of photogrammetry, remote sensing and geoinformation science, 90 (3): 269–291 (2022)