Xiuheng Wang

Orcid: 0000-0002-0115-5034

According to our database1, Xiuheng Wang authored at least 19 papers between 2020 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Joint modeling and learning approaches for hyperspectral imaging and changepoint detection. (Approches conjointes de modélisation et d'apprentissage pour l'imagerie hyperspectrale et la détection de changements).
PhD thesis, 2024

Non-parametric Online Change Point Detection on Riemannian Manifolds.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Riemannian Diffusion Adaptation over Graphs with Application to Online Distributed PCA.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods.
IEEE Signal Process. Mag., March, 2023

Deep Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE Trans. Geosci. Remote. Sens., 2023

Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution With Deep Priors.
IEEE Trans. Geosci. Remote. Sens., 2023

Change Point Detection with Neural Online Density-Ratio Estimator.
Proceedings of the IEEE International Conference on Acoustics, 2023

Online Change Point Detection on Riemannian Manifolds with Karcher Mean Estimates.
Proceedings of the 31st European Signal Processing Conference, 2023

DIstributed Change Point Detection in Streaming Manifold-Valued Signals Over Graphs.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
A Plug-and-Play Priors Framework for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Hyperspectral Image Super-Resolution with Deep Priors and Degradation Model Inversion.
Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Image Fusion Accounting for Inter-Image Variability.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Object Detection in Hyperspectral Images.
IEEE Signal Process. Lett., 2021

2020
Reconstruction of Hyperspectral Data From RGB Images With Prior Category Information.
IEEE Trans. Computational Imaging, 2020

Extending CCSDS 123.0-B-1 for Lossless 4D Image Compression.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

A Multi-Model Fusion Framework for NIR-to-RGB Translation.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Hyperspectral Unmixing Via Plug-And-Play Priors.
Proceedings of the IEEE International Conference on Image Processing, 2020

Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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