Remembering Both the Machine and the Crowd When Sampling Points: Active Learning for Semantic Segmentation of ALS Point Clouds. - Michael Kölle 002; Volker Walter 001; Stefan Schmohl; Uwe Soergel (ICPR Workshops (7), 2020)

Towards Urban Tree Recognition in Airborne Point Clouds with Deep 3D Single-Shot Detectors. - Stefan Schmohl; Michael Kölle 002; Rudolf Frolow; Uwe Soergel (ICPR Workshops (7), 2020)

CATEGORISE: An Automated Framework for Utilizing the Workforce of the Crowd for Semantic Segmentation of 3D Point Clouds. - Michael Kölle 002; Volker Walter 001; Ivan Shiller; Uwe Soergel (GCPR, 2021)

The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo. - Michael Kölle 002; Dominik Laupheimer; Stefan Schmohl; Norbert Haala; Franz Rottensteiner; Jan Dirk Wegner; Hugo Ledoux (CoRR, 2021)

Efficient and Accurate Tree Detection from 3D Point Clouds through Paid Crowdsourcing. - Michael Kölle 002; Volker Walter 001; Ivan Shiller; Uwe Soergel (CoRR, 2023)

Forming a hybrid intelligence system by combining Active Learning and paid crowdsourcing for semantic 3D point cloud segmentation. - Michael Kölle 002 (2023)