Pytorch framework for doing deep learning on point clouds.
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Updated
Aug 24, 2026 - Python
Pytorch framework for doing deep learning on point clouds.
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)
My implementation of Graspnet Graspness.
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)
Medical image segmentation framework with ConvNeXt U-Net, MinkowskiEngine sparse encoder, dual-stream cross-attention, and Mixture-of-Experts
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