Torben Peters
Torben Peters
Postdoctoral researcher ETH Zürich
Verified email at - Homepage
Cited by
Cited by
Integrity and collaboration in dynamic sensor networks
S Schön, C Brenner, H Alkhatib, M Coenen, H Dbouk, ...
Sensors 18 (7), 2400, 2018
Conditional adversarial networks for multimodal photo-realistic point cloud rendering
T Peters, C Brenner
PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 88 …, 2020
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation
N Kalischek, T Peters, JD Wegner, K Schindler
arXiv preprint arXiv:2211.13220, 2023
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
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
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 …, 2019
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
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
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 …, 2023
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 …, 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 …, 2020
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
AGBD: A Global-scale Biomass Dataset
G Sialelli, T Peters, JD Wegner, K Schindler
arXiv preprint arXiv:2406.04928, 2024
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
Learning Multi-view 2D to 3D Label Transfer for Semi-supervised Semantic Segmentation of Point Clouds
T Peters
Fachrichtung Geodäsie und Geoinformatik der Leibniz Unviersität Hannover, 2022
Self-Supervised Adversarial Shape Completion
T Peters, K Schindler, C Brenner
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 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
Detecting War Destruction in Ukraine using Sentinel-1 Time-Series
O Dietrich, T Peters, VSF Garnot, K Schindler, JD Wegner
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