Stars
A list of papers that studies Novel Class Discovery
This is an LWIR stereo-hyperspectral database to develop HADAR algorithms for thermal navigation. Based on this database, one can develop algorithms for TeX decomposition to generate TeX vision. On…
Repository for "Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines"
[AAAI 2022] Code of "Efficient One-pass Multi-view Subspace Clustering with Consensus Anchors"
Collections for hyperspectral image clustering
[Arxiv 2025] DiffV2IR: Visible-to-Infrared Diffusion Model via Vision-Language Understanding
Matlab code for the TKDE 2023 paper "Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity".
About MATLAB implementation for our TPAMI paper: Tensorized Bipartite Graph Learning for Multi-view Clustering
This is an official PyTorch implementation for "Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks".
A collection of resources for graph-based semi-supervised learning (GSSL).
Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability
[AAAI 2024] Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data
A hyperspectral image toolbox written in matlab.
A Summary of Multispectral Image Datasets
The complete code will be uploaded after the paper is accepted. Ding Y, Kang W, Yang A, et al. Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectr…
The code for our paper "Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning"
[TCYB 2023] Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning
Graph-based multi-label feature selection with dynamic graph constraints and latent representation learning. APPLIED INTELLIGENCE, 2024.
Accelerating Flexible Manifold Embedding for Scalable Semi-Supervised Learning