Ghent University Academic Bibliography

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Clustering-based psychometric no-reference quality model for point cloud video

Sam Van Damme (UGent) , Maria Torres Vega (UGent) , Jeroen van der Hooft (UGent) and Filip De Turck (UGent)

(2022) 2022 IEEE International Conference on Image Processing (ICIP). p.1866-1870
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Hierarchical variational autoencoders for visual counterfactuals

Nicolas Vercheval (UGent) and Aleksandra Pizurica (UGent)

(2021) 2021 IEEE International Conference on Image Processing (ICIP). In IEEE International Conference on Image Processing ICIP p.2513-2517
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Sketched sparse subspace clustering for large-scale hyperspectral images

Shaoguang Huang (UGent) , Hongyan Zhang and Aleksandra Pizurica (UGent)

(2020) 2020 IEEE International Conference on Image Processing (ICIP). In IEEE International Conference on Image Processing ICIP p.1766-1770
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Depth map inpainting and super-resolution with arbitrary scale factors

Anh Minh Truong (UGent) , Peter Veelaert (UGent) and Wilfried Philips (UGent)

(2020) 2020 IEEE International Conference on Image Processing (ICIP). p.488-492
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Group convolutional neural networks for hyperspectral image classification

Xian Li (UGent) , Mingli Ding and Aleksandra Pizurica (UGent)

(2019) 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). p.639-643
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Joint sparsity based sparse subspace clustering for hyperspectral images

Shaoguang Huang (UGent) , Hongyan Zhang and Aleksandra Pizurica (UGent)

(2018) 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). In IEEE International Conference on Image Processing ICIP p.3878-3882

Academic Bibliography

Clustering-based psychometric no-reference quality model for point cloud video

Hierarchical variational autoencoders for visual counterfactuals

Sketched sparse subspace clustering for large-scale hyperspectral images

Depth map inpainting and super-resolution with arbitrary scale factors

Group convolutional neural networks for hyperspectral image classification

Joint sparsity based sparse subspace clustering for hyperspectral images

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