| Integrity and collaboration in dynamic sensor networks S Schön, C Brenner, H Alkhatib, M Coenen, H Dbouk, ... Sensors 18 (7), 2400, 2018 | 36 | 2018 |
| Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning B Xiang, M Wielgosz, T Kontogianni, T Peters, S Puliti, R Astrup, ... Remote Sensing of Environment 305, 114078, 2024 | 22 | 2024 |
| TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation N Kalischek, T Peters, JD Wegner, K Schindler European Conference on Computer Vision, 2025, 2024 | 11* | 2024 |
| Towards accurate instance segmentation in large-scale LiDAR point clouds B Xiang, T Peters, T Kontogianni, F Vetterli, S Puliti, R Astrup, K Schindler arXiv preprint arXiv:2307.02877, 2023 | 10 | 2023 |
| Conditional adversarial networks for multimodal photo-realistic point cloud rendering T Peters, C Brenner PFG¡VJournal of Photogrammetry, Remote Sensing and Geoinformation Science 88 ¡K, 2020 | 10 | 2020 |
| A review of panoptic segmentation for mobile mapping point clouds B Xiang, Y Yue, T Peters, K Schindler ISPRS Journal of Photogrammetry and Remote Sensing 203, 373-391, 2023 | 7 | 2023 |
| Automatic generation of large point cloud training datasets using label transfer T Peters, C Brenner 39th Annual Scientific and Technical Conference of the DGPF eV, in Vienna ¡K, 2019 | 4 | 2019 |
| Semantic segmentation of mobile mapping point clouds via multi-view label transfer T Peters, C Brenner, K Schindler ISPRS Journal of Photogrammetry and Remote Sensing 202, 30-39, 2023 | 3 | 2023 |
| Biasbed-rigorous texture bias evaluation N Kalischek, RC Daudt, T Peters, R Furrer, JD Wegner, K Schindler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡K, 2023 | 3 | 2023 |
| AGBD: A Global-scale Biomass Dataset G Sialelli, T Peters, JD Wegner, K Schindler arXiv preprint arXiv:2406.04928, 2024 | 2 | 2024 |
| Improving deep learning based semantic segmentation with multi view outliner correction T Peters, C Brenner, M Song ISPRS Archives; 43, B2 43 (B2), 711-716, 2020 | 2 | 2020 |
| An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series O Dietrich, T Peters, VSF Garnot, V Sticher, TTT Whelan, K Schindler, ... arXiv preprint arXiv:2406.02506, 2024 | 1 | 2024 |
| Automated snow avalanche mapping with deep learning in aerial imagery from the extreme avalanche winter of 1999 JF Dal, ED Hafner, T Peters, D Narnhofer, RC Daudt, H Heisig, Y Bühler International Snow Science Workshop Proceedings, 2024 | 1 | 2024 |
| Statistical learning for change point and anomaly detection in graphs A Malinovskaya, P Otto, T Peters Artificial Intelligence, Big Data and Data Science in Statistics: Challenges ¡K, 2022 | 1 | 2022 |
| Self-Supervised Adversarial Shape Completion T Peters, K Schindler, C Brenner ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information ¡K, 2022 | 1 | 2022 |
| Learning the 3D pose of vehicles from 2D vehicle patches C Koetsier, T Peters, M Sester The International Archives of the Photogrammetry, Remote Sensing and Spatial ¡K, 2020 | 1 | 2020 |
| Video Depth without Video Models B Ke, D Narnhofer, S Huang, L Ke, T Peters, K Fragkiadaki, A Obukhov, ... arXiv preprint arXiv:2411.19189, 2024 | | 2024 |
| Learning multi-view 2D to 3D label transfer for semi-supervised semantic segmentation of point clouds T Peters Dissertation, Fakultät für Bauingenieurwesen und Geodäsie der Gottfried ¡K, 2022 | | 2022 |
| How to Train A-to-B and B-to-A Neural Networks So That the Resulting Transformations Are (Almost) Exact Inverses P Maneejuk, T Peters, C Brenner, V Kreinovich International Conference of the Thailand Econometrics Society, 203-209, 2022 | | 2022 |
| Detecting War Destruction in Ukraine using Sentinel-1 Time-Series O Dietrich, T Peters, VSF Garnot, K Schindler, JD Wegner | | |
