3 papers
cs.CV2026
From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments
Maximilian Kellner, Dominik Merkle, Michael Brunklaus +1
Large-scale 3D point clouds can consist of hundreds of millions of points. Even after downsampling, these point clouds are too large for modern 3D neural networks. In order to deve…
cs.CV2025
SemanticBridge - A Dataset for 3D Semantic Segmentation of Bridges and Domain Gap Analysis
Maximilian Kellner, Mariana Ferrandon Cervantes, Yuandong Pan +3
We propose a novel dataset that has been specifically designed for 3D semantic segmentation of bridges and the domain gap analysis caused by varying sensors. This addresses a criti…
cs.CV2025
Label-Efficient Point Cloud Segmentation with Active Learning
Johannes Meyer, Jasper Hoffmann, Felix Schulz +5
Semantic segmentation of 3D point cloud data often comes with high annotation costs. Active learning automates the process of selecting which data to annotate, reducing the total a…