GitHub

VeloxSeg: Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation

Overview of VeloxSeg. VeloxSeg employs an encoder-decoder architecture with Paired Window Attention (PWA) and Johnson-Lindenstrauss lemma-guided convolution (JLC) on the left, using 1x1 convolution as ...
IEEE

FreeMask3D: Zero-Shot Point Cloud Instance Segmentation Without 3D Training

Abstract: Point cloud instance segmentation is crucial for 3D scene understanding in robotics. However, existing methods heavily rely on learning-based approaches that require large amounts of ...
GitHub

SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation

This is the official implementation of paper "SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation". Update (27/05/2025): Our new method, LaSSM, ...
IEEE

DTNLS: 3D Point Cloud Segmentation Based on 2D Image and 3D Point Cloud Double Texture Feature

Abstract: Panoramic segmentation of 3D point clouds is an essential and challenging technology for robots with 3D detection and measurement capabilities. In order to fuse the color information of 2D ...
Orthopedics This Week

No More Manual Lumbar Spine Segmentation?

A group of researchers have introduced Open Lumbar Spine Image Analysis (OLSIA), a 3D Slicer extension designed to take the monotony out of segmentation, grading, and disc height index (DHI) ...