Shaoguang Huang

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 31

Top Topics

Subspace Clustering

Medical Image Segmentation

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Shaoguang Huang, Haijin Zeng, Hongyu Chen, Hongyan Zhang
Spatial and Cluster Structural Prior-Guided Subspace Clustering for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Xian Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica
Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images. CoRR (2024)
Tingzhang Luo, Mingxuan Du, Jiatao Shi, Xinxiang Chen, Bingchen Zhao, Shaoguang Huang
Contextuality Helps Representation Learning for Generalized Category Discovery. CoRR (2024)
Haijin Zeng, Jiezhang Cao, Kai Feng, Shaoguang Huang, Hongyan Zhang, Hiep Luong, Wilfried Philips
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising. CoRR (2023)
Haijin Zeng, Kai Feng, Shaoguang Huang, Jiezhang Cao, Yongyong Chen, Hongyan Zhang, Hiep Luong, Wilfried Philips
MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing. CoRR (2023)
Haijin Zeng, Kai Feng, Jiezhang Cao, Shaoguang Huang, Yongqiang Zhao, Hiep Luong, Jan Aelterman, Wilfried Philips
Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor. CoRR (2023)
Shaoguang Huang, Hongyan Zhang, Haijin Zeng, Aleksandra Pizurica
From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images. Remote. Sens. 15 (11) (2023)
Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiep Luong, Wilfried Philips
All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Lingsheng Wu, Rui Wang, Shaoguang Huang
Hyperspectral Image Denoising with Discrete Cosine Transform and CNN Denoiser. IGARSS (2023)
Zeno Dhaene, Nina Zizakic, Shaoguang Huang, Xian Li, Aleksandra Pizurica
HSIToolbox: A web-based application for the classification of hyperspectral images. SoftwareX 22 (2023)
Shaoguang Huang, Hongyan Zhang, Jize Xue, Aleksandra Pizurica
Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Nikos Deligiannis, Aleksandra Pizurica
Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation. EUSIPCO (2023)
Srdan Lazendic, Jens Janssens, Shaoguang Huang, Aleksandra Pizurica
On Interpretability of CNNs for Multimodal Medical Image Segmentation. EUSIPCO (2022)
Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica
Hybrid-Hypergraph Regularized Multiview Subspace Clustering for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Jize Xue, Yongqiang Zhao, Shaoguang Huang, Wenzhi Liao, Jonathan Cheung-Wai Chan, Seong G. Kong
Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica
A Structural Subspace Clustering Approach for Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica
Subspace Clustering for Hyperspectral Images via Dictionary Learning With Adaptive Regularization. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiêp Quang Luong, Wilfried Philips
Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising. CoRR (2022)
Jens Janssens, Srdan Lazendic, Shaoguang Huang, Aleksandra Pizurica
Multimodal Extension of the ML-CSC Framework for Medical Image Segmentation. ISPA (2021)
Meizhu Li, Shaoguang Huang, Jasper De Bock, Gert de Cooman, Aleksandra Pizurica
A Robust Dynamic Classifier Selection Approach for Hyperspectral Images with Imprecise Label Information. Sensors 20 (18) (2020)
Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica
Sketched Sparse Subspace Clustering For Large-Scale Hyperspectral Images. ICIP (2020)
Shaoguang Huang, Hongyan Zhang, Qian Du, Aleksandra Pizurica
Sketch-Based Subspace Clustering of Hyperspectral Images. Remote. Sens. 12 (5) (2020)
Shaoguang Huang, Bruno Cornelis, Bart Devolder, Maximiliaan Martens, Aleksandra Pizurica
Multimodal Target Detection by Sparse Coding: Application to Paint Loss Detection in Paintings. IEEE Trans. Image Process. 29 (2020)
Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica
Landmark-Based Large-Scale Sparse Subspace Clustering Method for Hyperspectral Images. IGARSS (2019)
Laurens Meeus, Shaoguang Huang, Bart Devolder, Hélène Dubois, Maximiliaan Martens, Aleksandra Pizurica
Deep Learning for Paint Loss Detection with a multiscale, translation invariant network. ISPA (2019)
Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica
Semisupervised Sparse Subspace Clustering Method With a Joint Sparsity Constraint for Hyperspectral Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (3) (2019)
Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica
Joint Sparsity Based Sparse Subspace Clustering for Hyperspectral Images. ICIP (2018)
Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica
A Robust Sparse Representation Model for Hyperspectral Image Classification. Sensors 17 (9) (2017)
Shaoguang Huang, Hongyan Zhang, Wenzhi Liao, Aleksandra Pizurica
Robust joint sparsity model for hyperspectral image classification. ICIP (2017)
Shaoguang Huang, Lan Tian, Xiaojie Ma, Ying Wei
A Reconfigurable Sound Wave Decomposition Filterbank for Hearing Aids Based on Nonlinear Transformation. IEEE Trans. Biomed. Circuits Syst. 10 (2) (2016)
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
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR (2016)
Ying Wei, Shaoguang Huang, Xiaojie Ma
A Novel Approach to Design Low-Cost Two-Stage Frequency-Response Masking Filters. IEEE Trans. Circuits Syst. II Express Briefs (10) (2015)
Jin Liu, Shaoguang Huang
Using topological information of images to improve stereo matching. CVPR (1993)