Shaoyu Wang

Orcid: 0000-0002-0376-9531

Affiliations:
  • Seoul National University, Korea


According to our database1, Shaoyu Wang authored at least 12 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
PU-KBS: A Robust Positive and Unlabeled Learning Framework With Key Band Selection for One-Class Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Unrolling Nonnegative Matrix Factorization With Group Sparsity for Blind Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2023

One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning.
CoRR, 2023

Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Deep Low-Rank Prior for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

Auto-AD: Autonomous Hyperspectral Anomaly Detection Network Based on Fully Convolutional Autoencoder.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
Anomaly Detection in Airborne Fourier Transform Thermal Infrared Spectrometer Images Based on Emissivity and a Segmented Low-Rank Prior.
Remote. Sens., 2021

Advances in spaceborne hyperspectral remote sensing in China.
Geo spatial Inf. Sci., 2021

2020
Hyperspectral Anomaly Detection via Locally Enhanced Low-Rank Prior.
IEEE Trans. Geosci. Remote. Sens., 2020

S3CRF: Sparse Spatial-Spectral Conditional Random Field Target Detection Framework for Airborne Hyperspectral Data.
IEEE Access, 2020


  Loading...