Shaoguang Huang

According to our database, Shaoguang Huang authored at least 31 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Spatial and Cluster Structural Prior-Guided Subspace Clustering for Hyperspectral Image.

Shaoguang Huang, Haijin Zeng, Hongyu Chen, Hongyan Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection.

Shaoguang Huang, Hongyan Zhang, Jize Xue, Aleksandra Pizurica

IEEE Trans. Neural Networks Learn. Syst., November, 2023

From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images.

Shaoguang Huang, Hongyan Zhang, Haijin Zeng, Aleksandra Pizurica

Remote. Sens., June, 2023

HSIToolbox: A web-based application for the classification of hyperspectral images.

Zeno Dhaene, Nina Zizakic, Shaoguang Huang, Xian Li, Aleksandra Pizurica

SoftwareX, May, 2023

All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising.

Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiep Luong, Wilfried Philips

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising.

Haijin Zeng, Jiezhang Cao, Kai Feng, Shaoguang Huang, Hongyan Zhang, Hiep Luong, Wilfried Philips

CoRR, 2023

Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor.

Haijin Zeng, Kai Feng, Jiezhang Cao, Shaoguang Huang, Yongqiang Zhao, Hiep Luong, Jan Aelterman, Wilfried Philips

CoRR, 2023

MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing.

Haijin Zeng, Kai Feng, Shaoguang Huang, Jiezhang Cao, Yongyong Chen, Hongyan Zhang, Hiep Luong, Wilfried Philips

CoRR, 2023

Hyperspectral Image Denoising with Discrete Cosine Transform and CNN Denoiser.

Lingsheng Wu, Rui Wang, Shaoguang Huang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation.

Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Nikos Deligiannis, Aleksandra Pizurica

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion.

Jize Xue, Yongqiang Zhao, Shaoguang Huang, Wenzhi Liao, Jonathan Cheung-Wai Chan, Seong G. Kong

IEEE Trans. Neural Networks Learn. Syst., 2022

Subspace Clustering for Hyperspectral Images via Dictionary Learning With Adaptive Regularization.

Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica

IEEE Trans. Geosci. Remote. Sens., 2022

A Structural Subspace Clustering Approach for Hyperspectral Band Selection.

Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica

IEEE Trans. Geosci. Remote. Sens., 2022

Hybrid-Hypergraph Regularized Multiview Subspace Clustering for Hyperspectral Images.

Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica

IEEE Trans. Geosci. Remote. Sens., 2022

Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising.

Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiêp Quang Luong, Wilfried Philips

CoRR, 2022

On Interpretability of CNNs for Multimodal Medical Image Segmentation.

Srdan Lazendic, Jens Janssens, Shaoguang Huang, Aleksandra Pizurica

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Multimodal Extension of the ML-CSC Framework for Medical Image Segmentation.

Jens Janssens, Srdan Lazendic, Shaoguang Huang, Aleksandra Pizurica

Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021

2020

Multimodal Target Detection by Sparse Coding: Application to Paint Loss Detection in Paintings.

Shaoguang Huang, Bruno Cornelis, Bart Devolder, Maximiliaan Martens, Aleksandra Pizurica

IEEE Trans. Image Process., 2020

A Robust Dynamic Classifier Selection Approach for Hyperspectral Images with Imprecise Label Information.

Meizhu Li, Shaoguang Huang, Jasper De Bock, Gert de Cooman, Aleksandra Pizurica

Sensors, 2020

Sketch-Based Subspace Clustering of Hyperspectral Images.

Shaoguang Huang, Hongyan Zhang, Qian Du, Aleksandra Pizurica

Remote. Sens., 2020

Sketched Sparse Subspace Clustering For Large-Scale Hyperspectral Images.

Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Semisupervised Sparse Subspace Clustering Method With a Joint Sparsity Constraint for Hyperspectral Remote Sensing Images.

Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Deep Learning for Paint Loss Detection with a multiscale, translation invariant network.

Laurens Meeus, Shaoguang Huang, Bart Devolder, Hélène Dubois, Maximiliaan Martens, Aleksandra Pizurica

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Landmark-Based Large-Scale Sparse Subspace Clustering Method for Hyperspectral Images.

Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Joint Sparsity Based Sparse Subspace Clustering for Hyperspectral Images.

Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

A Robust Sparse Representation Model for Hyperspectral Image Classification.

Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica

Sensors, 2017

Robust joint sparsity model for hyperspectral image classification.

Shaoguang Huang, Hongyan Zhang, Wenzhi Liao, Aleksandra Pizurica

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

A Reconfigurable Sound Wave Decomposition Filterbank for Hearing Aids Based on Nonlinear Transformation.

Shaoguang Huang, Lan Tian, Xiaojie Ma, Ying Wei

IEEE Trans. Biomed. Circuits Syst., 2016

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).

Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang

CoRR, 2016

2015

A Novel Approach to Design Low-Cost Two-Stage Frequency-Response Masking Filters.

Ying Wei, Shaoguang Huang, Xiaojie Ma

IEEE Trans. Circuits Syst. II Express Briefs, 2015

1993

Using topological information of images to improve stereo matching.

Jin Liu, Shaoguang Huang

Proceedings of the Conference on Computer Vision and Pattern Recognition, 1993