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Shaoguang Huang
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2020 – today
- 2024
- [j18]Haijin Zeng, Kai Feng, Jiezhang Cao, Shaoguang Huang, Yongqiang Zhao, Hiep Quang Luong, Jan Aelterman, Wilfried Philips:
Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor. Int. J. Comput. Vis. 132(11): 4992-5013 (2024) - [j17]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: 1-15 (2024) - [j16]Haijin Zeng, Shaoguang Huang, Yongyong Chen, Sheng Liu, Hiêp Quang Luong, Wilfried Philips:
Tensor Completion Using Bilayer Multimode Low-Rank Prior and Total Variation. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13297-13311 (2024) - [c13]Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica:
Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images. EUSIPCO 2024: 2022-2026 - [c12]Wei Xiao, Shaoguang Huang, Mbulisi Sibanda, Elhadi Adam, Hongyan Zhang:
A Locally Enhanced Transformer Network for Hyperspectral Image Classification. IGARSS 2024: 7782-7785 - [c11]Shuai Dong, Shaoguang Huang, Jinhan Zhang, Hongyan Zhang:
A Novel Multi-scale Feature Fusion Based Network for Hyperspectral and Multispectral Image Fusion. PRCV (13) 2024: 530-544 - [i8]Xian Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica:
Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images. CoRR abs/2404.07112 (2024) - [i7]Tingzhang Luo, Mingxuan Du, Jiatao Shi, Xinxiang Chen, Bingchen Zhao, Shaoguang Huang:
Contextuality Helps Representation Learning for Generalized Category Discovery. CoRR abs/2407.19752 (2024) - [i6]Yunzhen Wang, Haijin Zeng, Shaoguang Huang, Hongyu Chen, Hongyan Zhang:
Efficient One-Step Diffusion Refinement for Snapshot Compressive Imaging. CoRR abs/2409.07417 (2024) - 2023
- [j15]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): 2832 (2023) - [j14]Zeno Dhaene, Nina Zizakic, Shaoguang Huang, Xian Li, Aleksandra Pizurica:
HSIToolbox: A web-based application for the classification of hyperspectral images. SoftwareX 22: 101340 (2023) - [j13]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: 7357-7373 (2023) - [j12]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): 9259-9273 (2023) - [c10]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: 885-889 - [c9]Lingsheng Wu, Rui Wang, Shaoguang Huang:
Hyperspectral Image Denoising with Discrete Cosine Transform and CNN Denoiser. IGARSS 2023: 7312-7315 - [i5]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 abs/2303.13404 (2023) - [i4]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 abs/2303.13571 (2023) - [i3]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 abs/2305.04047 (2023) - 2022
- [j11]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
Hybrid-Hypergraph Regularized Multiview Subspace Clustering for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j10]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
A Structural Subspace Clustering Approach for Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j9]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
Subspace Clustering for Hyperspectral Images via Dictionary Learning With Adaptive Regularization. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j8]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): 6916-6930 (2022) - [c8]Srdan Lazendic, Jens Janssens, Shaoguang Huang, Aleksandra Pizurica:
On Interpretability of CNNs for Multimodal Medical Image Segmentation. EUSIPCO 2022: 1417-1421 - [i2]Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiep Luong, Wilfried Philips:
Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising. CoRR abs/2204.12879 (2022) - 2021
- [c7]Jens Janssens, Srdan Lazendic, Shaoguang Huang, Aleksandra Pizurica:
Multimodal Extension of the ML-CSC Framework for Medical Image Segmentation. ISPA 2021: 91-96 - 2020
- [j7]Shaoguang Huang, Hongyan Zhang, Qian Du, Aleksandra Pizurica:
Sketch-Based Subspace Clustering of Hyperspectral Images. Remote. Sens. 12(5): 775 (2020) - [j6]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): 5262 (2020) - [j5]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: 7681-7696 (2020) - [c6]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
Sketched Sparse Subspace Clustering For Large-Scale Hyperspectral Images. ICIP 2020: 1766-1770
2010 – 2019
- 2019
- [j4]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): 989-999 (2019) - [c5]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
Landmark-Based Large-Scale Sparse Subspace Clustering Method for Hyperspectral Images. IGARSS 2019: 799-802 - [c4]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: 158-162 - 2018
- [c3]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
Joint Sparsity Based Sparse Subspace Clustering for Hyperspectral Images. ICIP 2018: 3878-3882 - 2017
- [j3]Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica:
A Robust Sparse Representation Model for Hyperspectral Image Classification. Sensors 17(9): 2087 (2017) - [c2]Shaoguang Huang, Hongyan Zhang, Wenzhi Liao, Aleksandra Pizurica:
Robust joint sparsity model for hyperspectral image classification. ICIP 2017: 3130-3134 - 2016
- [j2]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): 487-496 (2016) - [i1]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 abs/1609.04167 (2016) - 2015
- [j1]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 62-II(10): 982-986 (2015)
1990 – 1999
Coauthor Index
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