XingshiLuo's starred repositories
ReflectanceMM
[CVPR 2023] Learning a 3D Morphable Face Reflectance Model from Low-cost Data
MethaneMapper-Spectral-Absorption-aware-Hyperspectral-Transformer-for-Methane-Detection
MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection
HADAR
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. One can also develop algorithms about object detection, semantic or scene segmentation, optical or scene flow, stereo depth etc. based on TeX vision instead of traditional RGB or thermal vision.
PCAHyperspectralClassifier
Classification of Hyperspectral Images ( HSIs ) with Principal Component Analysis ( PCA ) in CUDA ( cuBLAS ).
Hyperspectral-Image-Classification-Models
收录及复现的高光谱遥感图像分类模型
polarization
A group for computer scientists and physicists with aspirations of becoming quantum scientists. Quantum computing, jobs, books and graduate school are amongst the topics covered.
Interpretable_HSI_SR
Code related to the conference "INTERPRETABLE MULTIPLE LOSS FUNCTIONS IN A LOW-RANK DEEP IMAGE PRIOR BASED METHOD FOR SINGLE HYPERSPECTRAL IMAGE SUPER-RESOLUTION"
Hypersectral-Image_Super-Resolution
Spacial and Spectral Super resolution of a hyperspectral image containing more than 400 channels using 3D-SRCNN technique.
paper-reading
深度学习经典、新论文逐段精读
multispectral-object-detection
Multispectral Object Detection with Yolov5 and Transformer
Hyperspectral_Data_Simulation
Multiple instance learning bag generation code using data from the ECOSTRESS Spectral Library V1.0.
BayesianFuzzyClustering
Matlab implementation of the Bayesian Fuzzy Clustering algorithms. See related paper, doi: 10.1109/TFUZZ.2014.2370676
hsi_toolkit
GatorSense Hyperspectral Image Analysis Toolkit
robust-ood-detection
Robust Out-of-distribution Detection in Neural Networks
Polarimetric_Spectral_Database
A database of polarimetric and multispectral images in the visible and NIR regions
Unsupervised_Anomaly_Detection_Brain_MRI
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
MVTec-Anomaly-Detection
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.