Researcher
Shaoguang Huang
- Disciplines:Communications technology not elsewhere classified
Affiliations
- Department of Telecommunications and information processing (Department)
Member
From2 Oct 2015 → 17 Jul 2022
Projects
1 - 1 of 1
- Big Heterogeneous Data Sensing and Processing in Computer VisionFrom1 Mar 2016 → 31 Aug 2019Funding: BOF - Other initiatives
Publications
11 - 20 of 33
- Multimodal extension of the ML-CSC framework for medical image segmentation(2021)
Authors: Jens Janssens, Srdan Lazendic, Shaoguang Huang, Aleksandra Pizurica, Tomislav Petkovic, Davor Petrinovic, Sven Loncaric
Pages: 91 - 96 - The impact of non-uniform label noise on the classification of hyperspectral images(2021)
Authors: Meizhu Li, Shaoguang Huang, Aleksandra Pizurica
Pages: 326 - 330 - Multimodal target detection by sparse coding : application to paint loss detection in paintings(2020)
Authors: Shaoguang Huang, Bruno Cornelis, Bart Devolder, Maximiliaan Martens, Aleksandra Pizurica
Pages: 7681 - 7696 - Multi-view subspace clustering for hyperspectral images(2020)
Authors: Shaoguang Huang, Aleksandra Pizurica
Number of pages: 1 - A robust dynamic classifier selection approach for hyperspectral images with imprecise label information(2020)
Authors: Meizhu Li, Shaoguang Huang, Jasper De Bock, Gert De Cooman, Aleksandra Pizurica
- Sketch-based subspace clustering of hyperspectral images(2020)
Authors: Shaoguang Huang, Hongyan Zhang, Qian Du, Aleksandra Pizurica
- Sketched sparse subspace clustering for large-scale hyperspectral images(2020)
Authors: Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica
Pages: 1766 - 1770 - A deep-neural-network-based hybrid method for semi-supervised classification of polarimetric SAR data(2019)
Authors: Chi Liu, Wenzhi Liao, Heng-Chao Li, Shaoguang Huang, Wilfried Philips
Number of pages: 1 - Deep learning for paint loss detection with a multiscale, translation invariant network(2019)
Authors: Laurens Meeus, Shaoguang Huang, Bart Devolder, Hélène Dubois, Aleksandra Pizurica
Pages: 158 - 162 - Landmark-based large-scale sparse subspace clustering method for hyperspectral images(2019)
Authors: Shaoguang Huang, Hongyan Zhang, Aleksandra Pizurica
Pages: 799 - 802