Torben Peters

ETH Zurich — Switzerland

Engineering · Physical Sciences

7h-index196citations26works12.42yr avg
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Research Topics

Robotics and Sensor-Based Localization(8), Remote Sensing and LiDAR Applications(7), Advanced Neural Network Applications(5), Computer Graphics and Visualization Techniques(5), 3D Shape Modeling and Analysis(5)

Publications26 total

The Potential of Copernicus Satellites for Disaster Response: Retrieving Building Damage from Sentinel-1 and Sentinel-2
arXiv (Cornell University)·2025Open Access
AGBD: A Global-scale Biomass Dataset
Universität Zürich, ZORA·2025Open Access
AGBD: A Global-scale Biomass Dataset
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences·2025· 4 citedOpen Access
Video Depth without Video Models
2025· 5 cited
An open-source tool for mapping war destruction at scale in Ukraine using Sentinel-1 time series
Communications Earth & Environment·2025· 11 citedOpen Access
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation
Lecture notes in computer science·2024· 2 citedOpen Access
Video Depth without Video Models
arXiv (Cornell University)·2024Open Access
AGBD: A Global-scale Biomass Dataset
arXiv (Cornell University)·2024Open Access
Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning
Remote Sensing of Environment·2024· 90 citedOpen Access
Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning
arXiv (Cornell University)·2023· 2 citedOpen Access
TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences·2023· 13 citedOpen Access
A Review of panoptic segmentation for mobile mapping point clouds
ISPRS Journal of Photogrammetry and Remote Sensing·2023· 18 citedOpen Access
Semantic segmentation of mobile mapping point clouds via multi-view label transfer
ISPRS Journal of Photogrammetry and Remote Sensing·2023· 7 citedOpen Access
BiasBed - Rigorous Texture Bias Evaluation
2023
A Review of Panoptic Segmentation for Mobile Mapping Point Clouds
arXiv (Cornell University)·2023Open Access
Towards Accurate Instance Segmentation in Large-Scale Lidar Point Clouds
arXiv (Cornell University)·2023· 3 citedOpen Access
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation
arXiv (Cornell University)·2022· 1 citedOpen Access
SELF-SUPERVISED ADVERSARIAL SHAPE COMPLETION
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences·2022Open Access
How to Train A-to-B and B-to-A Neural Networks So That the Resulting Transformations Are (Almost) Exact Inverses
Studies in systems, decision and control·2022
BiasBed -- Rigorous Texture Bias Evaluation
Zurich Open Repository and Archive (University of Zurich)·2022Open Access
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Frequent Co-authors

Konrad Schindler(17), Jan Dirk Wegner(8), Claus Brenner(5), Theodora Kontogianni(4), Stefano Puliti(4), Rasmus Astrup(4), Nikolai Kalischek(4), Binbin Xiang(3), Ghjulia Sialelli(3), Binbin Xiang(3), Maciej Wielgosz(2), Monika Sester(2), Yuanwen Yue(2), Frawa Vetterli(2), Olivier Dietrich(2), Bingxin Ke(2), Dominik Narnhofer(2), Shengyu Huang(2), Lei Ke(2), Katerina Fragkiadaki(2)