Browsing by Author "Cornelis, Bruno"

A deep learning approach to crack detection in panel paintings

A Hilbert curve based representation of sEMG signals for gesture recognition

Accurate label-free 3-part leukocyte recognition with single cell lens-free imaging flow cytometry

Data augmentation of surface electromyography for hand gesture recognition

Deep learning in EMG-based gesture recognition

Deep Learning in Gesture Recognition Based on sEMG Signals

Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers

Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers

Fast and robust Fourier domain-based classification for on-chip lens-free flow cytometry

Hand gesture recognition based on EMG data: A convolutional neural networ kapproach

Hilbert sEMG data scanning for hand gesture recognition based on deep learning

Image processing for research on the Ghent altarpiece

Improved gesture recognition based on sEMG signals and TCN

JOINT IMAGE SUPER-RESOLUTION VIA RECURRENT CONVOLUTIONAL NEURAL NETWORKS WITH COUPLED SPARSE PRIORS

Learned multimodal convolutional sparse coding for guided image super-resolution

Multi-modal dictionary learning for image separation with application in art investigation

Multimodal deep unfolding for guided image super-resolution

Multimodal image super-resolution via deep unfolding with side information

Paint loss detection via kernel sparse representation

The Effect of Space-filling Curves on the Efficiency of Hand Gesture Recognition Based on sEMG Signals