IEEE

Double-Weighted Spatial Low-Rank and Superpixel-Guided Adaptive Graph Laplacian Regularization for Sparse Hyperspectral Unmixing

Abstract: Sparse unmixing (SU) performs unmixing tasks for hyperspectral images (HSIs) using a complete spectral library. Recent studies have reported that the adverse effects of noise can be ...
GitHub

LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision

This follow-up work demonstrates applying LASER for scene-graph generation in embodied agent environments. Answer: Ensure your CUDA Tool kit and your pytorch has the same version. Take 12.4 as an ...
IEEE

Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
GitHub

STRIDE Threat Analysis Framework with MITRE ATT&CK Integration

This project is a Python-based, end-to-end STRIDE threat modeling and analysis framework with MITRE ATT&CK mapping. It enables you to: ...