Using topological information of images to improve stereo matching. - Jin Liu; Shaoguang Huang (CVPR, 1993)

A Novel Approach to Design Low-Cost Two-Stage Frequency-Response Masking Filters. - Ying Wei 004; Shaoguang Huang; Xiaojie Ma (IEEE Trans. Circuits Syst. II Express Briefs, 2015)

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; et al. (CoRR, 2016)

A Reconfigurable Sound Wave Decomposition Filterbank for Hearing Aids Based on Nonlinear Transformation. - Shaoguang Huang; Lan Tian; Xiaojie Ma; Ying Wei 004 (IEEE Trans. Biomed. Circuits Syst., 2016)

Robust joint sparsity model for hyperspectral image classification. - Shaoguang Huang; Hongyan Zhang 001; Wenzhi Liao; Aleksandra Pizurica (ICIP, 2017)

A Robust Sparse Representation Model for Hyperspectral Image Classification. - Shaoguang Huang; Hongyan Zhang 001; Aleksandra Pizurica (Sensors, 2017)

Joint Sparsity Based Sparse Subspace Clustering for Hyperspectral Images. - Shaoguang Huang; Hongyan Zhang 001; Aleksandra Pizurica (ICIP, 2018)

Landmark-Based Large-Scale Sparse Subspace Clustering Method for Hyperspectral Images. - Shaoguang Huang; Hongyan Zhang 001; Aleksandra Pizurica (IGARSS, 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 (ISPA, 2019)

Semisupervised Sparse Subspace Clustering Method With a Joint Sparsity Constraint for Hyperspectral Remote Sensing Images. - Shaoguang Huang; Hongyan Zhang 001; Aleksandra Pizurica (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Sketched Sparse Subspace Clustering For Large-Scale Hyperspectral Images. - Shaoguang Huang; Hongyan Zhang 001; Aleksandra Pizurica (ICIP, 2020)

Sketch-Based Subspace Clustering of Hyperspectral Images. - Shaoguang Huang; Hongyan Zhang 001; Qian Du 001; Aleksandra Pizurica (Remote. Sens., 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)

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)

Multimodal Extension of the ML-CSC Framework for Medical Image Segmentation. - Jens Janssens; Srdan Lazendic; Shaoguang Huang; Aleksandra Pizurica (ISPA, 2021)

On Interpretability of CNNs for Multimodal Medical Image Segmentation. - Srdan Lazendic; Jens Janssens; Shaoguang Huang; Aleksandra Pizurica (EUSIPCO, 2022)

Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising. - Haijin Zeng; Shaoguang Huang; Yongyong Chen; Hiep Luong 001; Wilfried Philips (CoRR, 2022)

Hybrid-Hypergraph Regularized Multiview Subspace Clustering for Hyperspectral Images. - Shaoguang Huang; Hongyan Zhang 001; Aleksandra Pizurica (IEEE Trans. Geosci. Remote. Sens., 2022)

A Structural Subspace Clustering Approach for Hyperspectral Band Selection. - Shaoguang Huang; Hongyan Zhang 001; Aleksandra Pizurica (IEEE Trans. Geosci. Remote. Sens., 2022)

Subspace Clustering for Hyperspectral Images via Dictionary Learning With Adaptive Regularization. - Shaoguang Huang; Hongyan Zhang 001; Aleksandra Pizurica (IEEE Trans. Geosci. Remote. Sens., 2022)

Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion. - Jize Xue; Yongqiang Zhao 001; Shaoguang Huang; Wenzhi Liao; Jonathan Cheung-Wai Chan; Seong G. Kong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation. - Xianlu Li; Nicolas Nadisic; Shaoguang Huang; Nikos Deligiannis; Aleksandra Pizurica (EUSIPCO, 2023)

Hyperspectral Image Denoising with Discrete Cosine Transform and CNN Denoiser. - Lingsheng Wu; Rui Wang 090; Shaoguang Huang (IGARSS, 2023)

MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing. - Haijin Zeng; Kai Feng; Shaoguang Huang; Jiezhang Cao; Yongyong Chen; Hongyan Zhang 001; Hiep Luong 001; Wilfried Philips (CoRR, 2023)

Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising. - Haijin Zeng; Jiezhang Cao; Kai Feng; Shaoguang Huang; Hongyan Zhang 001; Hiep Luong 001; Wilfried Philips (CoRR, 2023)

All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising. - Haijin Zeng; Shaoguang Huang; Yongyong Chen; Hiep Luong 001; Wilfried Philips (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

HSIToolbox: A web-based application for the classification of hyperspectral images. - Zeno Dhaene; Nina Zizakic; Shaoguang Huang; Xian Li 001; Aleksandra Pizurica (SoftwareX, 2023)

From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images. - Shaoguang Huang; Hongyan Zhang 001; Haijin Zeng; Aleksandra Pizurica (Remote. Sens., 2023)

Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection. - Shaoguang Huang; Hongyan Zhang 001; Jize Xue; Aleksandra Pizurica (IEEE Trans. Neural Networks Learn. Syst., 2023)

Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images. - Xianlu Li; Nicolas Nadisic; Shaoguang Huang; Aleksandra Pizurica (EUSIPCO, 2024)

Contextuality Helps Representation Learning for Generalized Category Discovery. - Tingzhang Luo; Mingxuan Du; Jiatao Shi; Xinxiang Chen; Bingchen Zhao; Shaoguang Huang (ICIP, 2024)

A Locally Enhanced Transformer Network for Hyperspectral Image Classification. - Wei Xiao; Shaoguang Huang; Mbulisi Sibanda; Elhadi Adam; Hongyan Zhang 001 (IGARSS, 2024)

A Novel Multi-scale Feature Fusion Based Network for Hyperspectral and Multispectral Image Fusion. - Shuai Dong; Shaoguang Huang; Jinhan Zhang; Hongyan Zhang 001 (PRCV (13), 2024)

Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images. - Xian Li 001; Nicolas Nadisic; Shaoguang Huang; Aleksandra Pizurica (CoRR, 2024)

Efficient One-Step Diffusion Refinement for Snapshot Compressive Imaging. - Yunzhen Wang; Haijin Zeng; Shaoguang Huang; Hongyu Chen 003; Hongyan Zhang 001 (CoRR, 2024)

Spatial and Cluster Structural Prior-Guided Subspace Clustering for Hyperspectral Image. - Shaoguang Huang; Haijin Zeng; Hongyu Chen 003; Hongyan Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

CrossMatch: Cross-View Matching for Semi-Supervised Remote Sensing Image Segmentation. - Ruizhong Liu; Tingzhang Luo; Shaoguang Huang; Yuwei Wu; Zhen Jiang; Hongyan Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

Tensor Completion Using Bilayer Multimode Low-Rank Prior and Total Variation. - Haijin Zeng; Shaoguang Huang; Yongyong Chen; Sheng Liu 002; Hiêp Quang Luong; Wilfried Philips (IEEE Trans. Neural Networks Learn. Syst., 2024)

Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor. - Haijin Zeng; Kai Feng; Jiezhang Cao; Shaoguang Huang; Yongqiang Zhao 001; Hiep Quang Luong 001; Jan Aelterman; Wilfried Philips (Int. J. Comput. Vis., 2024)

Heterogeneous Data-based Cross-domain Few-shot Classification Method of Hyperspectral Image. - Kun Zhao; Shaoguang Huang; Hongyu Chen 003; Hongyan Zhang 001 (ICASSP, 2025)

Hyperspectral Image Classification Based on a Locally Enhanced Transformer Network. - Shaoguang Huang; Wei Xiao; Hongyu Chen 003; Siti Khairunniza-Bejo; Hongyan Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising. - Haijin Zeng; Kai Feng; Xudong Zhao 003; Jiezhang Cao; Shaoguang Huang; Hiep Luong 001; Wilfried Philips (IEEE Trans. Geosci. Remote. Sens., 2025)

Scalable Context-Preserving Model-Aware Deep Clustering for Hyperspectral Images. - Xianlu Li; Nicolas Nadisic; Shaoguang Huang; Nikos Deligiannis; Aleksandra Pizurica (CoRR, 2025)