Torben Peters

According to our database, Torben Peters authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Video Depth without Video Models.

Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler

CoRR, 2024

AGBD: A Global-scale Biomass Dataset.

Ghjulia Sialelli, Torben Peters, Jan D. Wegner, Konrad Schindler

CoRR, 2024

An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series.

Olivier Dietrich, Torben Peters, Vivien Sainte Fare Garnot, Valerie Sticher, Thao Ton-That Whelan, Konrad Schindler, Jan Dirk Wegner

CoRR, 2024

TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation.

Nikolai Kalischek, Torben Peters, Jan D. Wegner, Konrad Schindler

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning.

Binbin Xiang, Maciej Wielgosz, Theodora Kontogianni, Torben Peters, Stefano Puliti, Rasmus Astrup, Konrad Schindler

CoRR, 2023

Towards accurate instance segmentation in large-scale LiDAR point clouds.

Binbin Xiang, Torben Peters, Theodora Kontogianni, Frawa Vetterli, Stefano Puliti, Rasmus Astrup, Konrad Schindler

CoRR, 2023

A Review of Panoptic Segmentation for Mobile Mapping Point Clouds.

Binbin Xiang, Yuanwen Yue, Torben Peters, Konrad Schindler

CoRR, 2023

BiasBed - Rigorous Texture Bias Evaluation.

Nikolai Kalischek, Rodrigo Caye Daudt, Torben Peters, Reinhard Furrer, Jan D. Wegner, Konrad Schindler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning multi-view 2D to 3D label transfer for semi-supervised semantic segmentation of point clouds.

Torben Peters

PhD thesis, 2022

Tetrahedral Diffusion Models for 3D Shape Generation.

Nikolai Kalischek, Torben Peters, Jan D. Wegner, Konrad Schindler

CoRR, 2022

2020

Statistical learning for change point and anomaly detection in graphs.

Anna Malinovskaya, Philipp Otto, Torben Peters

CoRR, 2020

2018

Integrity and Collaboration in Dynamic Sensor Networks.

Steffen Schön, Claus Brenner, Hamza Alkhatib, Max Coenen, Hani Dbouk, Nicolas Garcia Fernandez, Colin Fischer, Christian Heipke, Katja Lohmann, Ingo Neumann, Uyen Nguyen, Jens-André Paffenholz, Torben Peters, Franz Rottensteiner, Julia Schachtschneider, Monika Sester, Ligang Sun, Sören Vogel, Raphael Voges, Bernardo Wagner

Sensors, 2018