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Torben Peters
Torben Peters
Postdoctoral researcher ETH Zürich
Bestätigte E-Mail-Adresse bei ethz.ch - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Integrity and collaboration in dynamic sensor networks
S Schön, C Brenner, H Alkhatib, M Coenen, H Dbouk, ...
Sensors 18 (7), 2400, 2018
282018
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
102020
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation
N Kalischek, T Peters, JD Wegner, K Schindler
arXiv preprint arXiv:2211.13220, 2023
62023
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
32023
A Review of Panoptic Segmentation for Mobile Mapping Point Clouds
B Xiang, Y Yue, T Peters, K Schindler
arXiv preprint arXiv:2304.13980, 2023
32023
Automatic generation of large point cloud training datasets using label transfer
T Peters, C Brenner
Publikationen Der DGPF 28, 68-82, 2019
32019
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, ...
arXiv preprint arXiv:2312.15084, 2023
22023
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
12023
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
12023
Improving deep learning based semantic segmentation with multi view outlier correction
T Peters, C Brenner, M Song
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020
12020
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
12020
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
2022
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
2022
Self-Supervised Adversarial Shape Completion
T Peters, K Schindler, C Brenner
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 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
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