Peer-Reviewed Literature
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(2020): Conditional Adversarial Networks for Multimodal Photo-Realistic Point Cloud Rendering, PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science
DOI: 10.1007/s41064-020-00114-z -
(2018): Conditional adversarial networks for multimodal photorealistic point cloud rendering, Proceedings of the Spatial Big Data and Machine Learning in GIScience, Workshop at GIScience, S. 48–53
Non Peer-Reviewed Literature
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(2020): Learning the 3D pose of vehicles from 2D vehicle patches, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. 43. International Society for Photogrammetry und Remote Sensing, (accepted, to appear)
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(2019): Automatic Generation of Large Point Cloud Training Datasets Using Label Transfer, 39. Wissenschaftlich-Technische Jahrestagung der DGPF e.V., 20. – 22. Februar 2019 in Wien, Thomas P. Kersten (Hrsg.)
ISSN: 0942-2870