3D Reconstruction and Classification from Very High Resolution Satellite Imagery (ReKlaSat 3D)
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Updated
Apr 18, 2020 - Python
3D Reconstruction and Classification from Very High Resolution Satellite Imagery (ReKlaSat 3D)
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)
MINSU3D: MinkowskiEngine-powered Scene Understanding in 3D
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition
MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
Project examing sparse deep learning architectures for ligand classification.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)
A toolkit for preprocessing, training and inference
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