Publications

• Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images
• From model-based optimization algorithms to deep learning models for clustering hyperspectral images
• HSIToolbox : a web-based application for the classification of hyperspectral images
• Heterogeneous regularization-based tensor subspace clustering for hyperspectral band selection
• Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation
• A structural subspace clustering approach for hyperspectral band selection
• Hybrid-hypergraph regularized multiview subspace clustering for hyperspectral images
• On interpretability of CNNs for multimodal medical image segmentation
• Subspace clustering for hyperspectral images via dictionary learning with adaptive regularization
• The Impact of Non-uniform Label Noise on the Classification of Hyperspectral Images
• Multimodal extension of the ML-CSC framework for medical image segmentation
• A study on the label noise impact on the hyperspectral image classification
• THE IMPACT OF LABEL NOISE ON THE CLASSIFICATION MODELS FOR HYPERSPECTRAL IMAGES
• A robust dynamic classifier selection approach for hyperspectral images with imprecise label information
• Assisting classical paintings restoration: efficient paint loss detection and descriptor-based inpainting using shared pretraining
• Multi-view Subspace Clustering for Hyperspectral Images
• Multimodal Target Detection by Sparse Coding: Application to Paint Loss Detection in Paintings
• Sketch-based Subspace Clustering of Hyperspectral Images
• Sketched Sparse Subspace Clustering for Large-Scale Hyperspectral Images
• A deep-neural-network-based hybrid method for semi-supervised classification of polarimetric SAR data
• Deep learning for paint loss detection with a multiscale, translation invariant network
• Landmark-based large-scale sparse subspace clustering method for hyperspectral images
• Robust dynamic classifier selection for remote sensing image classification
• Semisupervised sparse subspace clustering method with a joint sparsity constraint for hyperspectral remote sensing images
• Sparse coding for the analysis of high-dimensional data : applications in remote sensing and art investigation
• Deep Learning for Paint Loss Detection: A Case Study on the Ghent Altarpiece
• Joint sparsity based sparse subspace clustering for hyperspectral images
• Paint loss detection via kernel sparse representation
• A robust sparse representation model for hyperspectral image classification
• Robust joint sparsity model for hyperspectral image classification
• A reconfigurable sound wave decomposition filterbank for hearing aids based on nonlinear transformation
• Big Data Processing in Artwork Analysis
• Fusion of Spectral And Spatial Information for Land Cover Classification
• Paint loss detection in old paintings by sparse representation classification
• A novel approach to design low-cost two-stage frequency-response masking filters
• A Method of Insect Recognition Based on Spectrogram
• A voice activity detection algorithm with sub-band detection based on time-frequency characteristics of mandarin