Stefan Schmohl

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, D. Laupheimer, Stefan Schmohl et al. · Zurich Open Repository and Archive (University of Zurich) · 2021 · 95 citations

SUBMANIFOLD SPARSE CONVOLUTIONAL NETWORKS FOR SEMANTIC SEGMENTATION OF LARGE-SCALE ALS POINT CLOUDS

Stefan Schmohl, Uwe Sörgel · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2019 · 58 citations · Full text

3D Computer Vision, Machine Vision, Image Analysis +12

Classification of ALS Point Clouds Using End-to-End Deep Learning

Lukas Winiwarter, Gottfried Mandlburger, Stefan Schmohl et al. · PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science · 2019 · 57 citations

Geometric Learning, Machine Vision, Machine Learning +7

Individual Tree Detection in Urban ALS Point Clouds with 3D Convolutional Networks

Stefan Schmohl, Alejandra Narváez Vallejo, Uwe Soergel · Remote Sensing · 2022 · 28 citations · Full text

Engineering, Machine Learning, Point Cloud Processing +18

Stuttgart City Walk: A Case Study on Visualizing Textured DSM Meshes for the General Public Using Virtual Reality

Stefan Schmohl, Patrick Tutzauer, Norbert Haala · PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science · 2020 · 18 citations

Geometric Modeling, Architectural Design, Stuttgart City Walk +9