IEEE

CLIP2RS: Leveraging Pretrained Vision-Language Model for Semantic Segmentation of Remote Sensing Images

Abstract: Semantic segmentation of remote sensing (RS) images is a very challenging task due to the complicated characteristics such as diversity, complexity, and massiveness. Current research ...
GitHub

LaDy: Lagrangian-Dynamic Informed Network for Skeleton-based Action Segmentation via Spatial-Temporal Modulation

Abstract: Skeleton-based Temporal Action Segmentation (STAS) aims to densely parse untrimmed skeletal sequences into frame-level action categories. However, existing methods, while proficient at ...
IEEE

OpenUrban3D: Label-Free Open-Vocabulary Semantic Segmentation of Large-Scale Urban Point Clouds

Abstract: Open-vocabulary (OV) semantic segmentation enables models to recognize and segment objects from arbitrary natural language descriptions, offering the flexibility to handle novel, ...
GitHub

Multi-platform point cloud analysis — registration, segmentation, surface reconstruction, and feature extraction for aerial, terrestrial, and UAV LiDAR.

Point cloud tooling in Python is fragmented. laspy reads files. Open3D visualizes them. PDAL pipelines transform them. But nothing treats acquisition platform as a first-class concept — and platform ...