Virtual Restoration of the Ghent Altarpiece Using Crack Detection and Inpainting. - Tijana Ruzic; Bruno Cornelis; Ljiljana Platisa; Aleksandra Pizurica; Ann Dooms; Wilfried Philips; Maximiliaan Martens; Marc De Mey; Ingrid Daubechies (ACIVS, 2011)

Digital painting analysis, at the cross section of engineering, mathematics and culture. - Bruno Cornelis; Ann Dooms; Jan Cornelis 001; Frederik Leen; Peter Schelkens (EUSIPCO, 2011)

Spatiogram features to characterize pearls in paintings. - Ljiljana Platisa; Bruno Cornelis; Tijana Ruzic; Aleksandra Pizurica; Ann Dooms; Maximiliaan Martens; Marc De Mey; Ingrid Daubechies (ICIP, 2011)

Digital canvas removal in paintings. - Bruno Cornelis; Ann Dooms; Jan Cornelis 001; Peter Schelkens (Signal Process., 2012)

Bayesian crack detection in ultra high resolution multimodal images of paintings. - Bruno Cornelis; Yun Yang; Joshua T. Vogelstein; Ann Dooms; Ingrid Daubechies; David B. Dunson (DSP, 2013)

Crack detection and inpainting for virtual restoration of paintings: The case of the Ghent Altarpiece. - Bruno Cornelis; Tijana Ruzic; E. Gezels; Ann Dooms; Aleksandra Pizurica; Ljiljana Platisa; Jan Cornelis 001; Maximiliaan Martens; Marc De Mey; Ingrid Daubechies (Signal Process., 2013)

Digital cradle removal in X-ray images of art paintings. - Rujie Yin; David B. Dunson; Bruno Cornelis; Bill Brown; Noelle Ocon; Ingrid Daubechies (ICIP, 2014)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - Laurent Jacques; Christophe De Vleeschouwer; Yannick Boursier; Prasad Sudhakar; C. De Mol; Aleksandra Pizurica; Sandrine Anthoine; Pierre Vandergheynst; Pascal Frossard; Cagdas Bilen; Srdan Kitic; Nancy Bertin; et al. (CoRR, 2014)

Digital Image Processing of The Ghent Altarpiece: Supporting the painting's study and conservation treatment. - Aleksandra Pizurica; Ljiljana Platisa; Tijana Ruzic; Bruno Cornelis; Ann Dooms; Maximiliaan Martens; Hélène Dubois; Bart Devolder; Marc De Mey; Ingrid Daubechies (IEEE Signal Process. Mag., 2015)

X-ray image separation via coupled dictionary learning. - Nikos Deligiannis; João F. C. Mota; Bruno Cornelis; Miguel R. D. Rodrigues; Ingrid Daubechies (ICIP, 2016)

L1-optimized linear prediction for light field image compression. - Rui Zhong; Shizheng Wang; Bruno Cornelis; Yuanjin Zheng; Junsong Yuan 001; Adrian Munteanu 001 (PCS, 2016)

Removing Cradle Artifacts in X-Ray Images of Paintings. - Rujie Yin; Bruno Cornelis; Gábor Fodor 002; Noelle Ocon; David B. Dunson; Ingrid Daubechies (SIAM J. Imaging Sci., 2016)

Efficient directional and L1-optimized intra-prediction for light field image compression. - Rui Zhong; Shizheng Wang; Bruno Cornelis; Yuanjin Zheng; Junsong Yuan 001; Adrian Munteanu 001 (ICIP, 2017)

Multiview Deep Learning for Predicting Twitter Users' Location. - Tien Huu Do; Duc Minh Nguyen; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (CoRR, 2017)

Cradle Removal in X-Ray Images of Panel Paintings. - Gábor Fodor 002; Bruno Cornelis; Rujie Yin; Ann Dooms; Ingrid Daubechies (Image Process. Line, 2017)

Removal of Canvas Patterns in Digital Acquisitions of Paintings. - Bruno Cornelis; Haizhao Yang; Alex Goodfriend; Noelle Ocon; Jianfeng Lu 001; Ingrid Daubechies (IEEE Trans. Image Process., 2017)

Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation. - Nikos Deligiannis; João F. C. Mota; Bruno Cornelis; Miguel R. D. Rodrigues; Ingrid Daubechies (IEEE Trans. Image Process., 2017)

Towards a CAD System for Breast Cancer Based on Individual Microcalcifications? - Evgenia Papavasileiou; Redona Brahimetaj; Frederik Temmermans; Bruno Cornelis; Inneke Willekens; Johan de Mey; Bart Jansen 001 (HealthCom, 2018)

Twitter User Geolocation Using Deep Multiview Learning. - Tien Huu Do; Duc Minh Nguyen; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (ICASSP, 2018)

Hand Gesture Recognition Based on EMG Data: A Convolutional Neural Network Approach. - Panagiotis Tsinganos; Bruno Cornelis; Jan Cornelis 001; Bart Jansen 001; Athanassios Skodras (PhyCS (Selected Papers), 2018)

Deep Learning in EMG-based Gesture Recognition. - Panagiotis Tsinganos; Bruno Cornelis; Jan Cornelis 001; Bart Jansen 001; Athanassios Skodras (PhyCS, 2018)

Accurate label-free 3-part leukocyte recognition with single cell lens-free imaging flow cytometry. - Yuqian Li; Bruno Cornelis; Alexandra Dusa; Geert Vanmeerbeeck; Dries Vercruysse; Erik Sohn; Kamil Blaszkiewicz; Dimiter Prodanov; Peter Schelkens; Liesbet Lagae (Comput. Biol. Medicine, 2018)

Computer Aided Detection and Diagnosis System for Breast Cancer Detection Based on High Resolution 3D micro-CT Breast Microcalcifications. - Redona Brahimetaj; Evgenia Papavasileiou; Frederik Temmermans; Bruno Cornelis; Inneke Willekens; Johan de Mey; Bart Jansen 001 (BNAIC/BENELEARN, 2019)

Multimodal Image Super-resolution via Deep Unfolding with Side Information. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (EUSIPCO, 2019)

Improved Gesture Recognition Based on sEMG Signals and TCN. - Panagiotis Tsinganos; Bruno Cornelis; Jan Cornelis 001; Bart Jansen 001; Athanassios Skodras (ICASSP, 2019)

Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (ICIP, 2019)

A Hilbert Curve Based Representation of sEMG Signals for Gesture Recognition. - Panagiotis Tsinganos; Bruno Cornelis; Jan Cornelis 001; Bart Jansen 001; Athanassios Skodras (IWSSIP, 2019)

Deep Learning for Precipitation Estimation from Satellite and Rain Gauges Measurements. - Arthur Moraux; Steven Dewitte; Bruno Cornelis; Adrian Munteanu 001 (Remote. Sens., 2019)

Dictionary Learning-Based, Directional, and Optimized Prediction for Lenslet Image Coding. - Rui Zhong; Ionut Schiopu; Bruno Cornelis; Shao-Ping Lu; Junsong Yuan 001; Adrian Munteanu 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (EUSIPCO, 2020)

Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (ICIP, 2020)

Crack Detection in Paintings Using Convolutional Neural Networks. - Roman A. Sizyakin; Bruno Cornelis; Laurens Meeus; Hélène Dubois; Maximiliaan Martens; Viacheslav V. Voronin; Aleksandra Pizurica (IEEE Access, 2020)

Interpretable Deep Multimodal Image Super-Resolution. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (CoRR, 2020)

Data Augmentation of Surface Electromyography for Hand Gesture Recognition. - Panagiotis Tsinganos; Bruno Cornelis; Jan Cornelis 001; Bart Jansen 001; Athanassios Skodras (Sensors, 2020)

Multimodal Target Detection by Sparse Coding: Application to Paint Loss Detection in Paintings. - Shaoguang Huang; Bruno Cornelis; Bart Devolder; Maximiliaan Martens; Aleksandra Pizurica (IEEE Trans. Image Process., 2020)

Multimodal Deep Unfolding for Guided Image Super-Resolution. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (IEEE Trans. Image Process., 2020)

Transfer Learning in sEMG-based Gesture Recognition. - Panagiotis Tsinganos; Jan Cornelis 001; Bruno Cornelis; Bart Jansen 001; Athanassios Skodras (IISA, 2021)

Hilbert sEMG data scanning for hand gesture recognition based on deep learning. - Panagiotis Tsinganos; Bruno Cornelis; Jan Cornelis 001; Bart Jansen 001; Athanassios Skodras (Neural Comput. Appl., 2021)

A Deep Learning Multimodal Method for Precipitation Estimation. - Arthur Moraux; Steven Dewitte; Bruno Cornelis; Adrian Munteanu 001 (Remote. Sens., 2021)

Real-Time Instance Segmentation of Traffic Videos for Embedded Devices. - Ruben Panero Martinez; Ionut Schiopu; Bruno Cornelis; Adrian Munteanu 001 (Sensors, 2021)

Making Sense of ANPR Data via Intelligent Spatio-temporal Disaggregation of Traffic Flows. - Michiel Dhont; Elena Tsiporkova; Nicolás González-Deleito; Bruno Cornelis (ITSC, 2022)

A Low-Power Distributed Visual Sensor Network for Real-Time Barcode Localization and Identification. - Leander Hendrikx; Rui Zhong; Bruno Cornelis; Adrian Munteanu 001 (Sensors, 2022)

Framework for Vehicle Make and Model Recognition - A New Large-Scale Dataset and an Efficient Two-Branch-Two-Stage Deep Learning Architecture. - Yangxintong Lyu; Ionut Schiopu; Bruno Cornelis; Adrian Munteanu 001 (Sensors, 2022)

Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers. - Iman Marivani; Evaggelia Tsiligianni; Bruno Cornelis; Nikos Deligiannis (IEEE Trans. Circuits Syst. Video Technol., 2022)

Traffic Simulation with Incomplete Data: the Case of Brussels. - Davide Andrea Guastella; Bruno Cornelis; Gianluca Bontempi (EMODE@SIGSPATIAL, 2023)

MonoKalman: Monocular Vehicle Pose Estimation with Kalman Filter-based temporal consistency. - Leandro Di Bella; Yangxintong Lyu; Bruno Cornelis; Adrian Munteanu 001 (MDM, 2024)

STRADA: Spatial-Temporal Dashboard for traffic forecasting. - Seyed Mohamad Moghadas; Yangxintong Lyu; Bruno Cornelis; Adrian Munteanu 001 (MDM, 2024)

Calibration of Vehicular Traffic Simulation Models by Local Optimization. - Davide Andrea Guastella; Alejandro Morales-Hernández; Bruno Cornelis; Gianluca Bontempi (CoRR, 2025)

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking. - Leandro Di Bella; Yangxintong Lyu; Bruno Cornelis; Adrian Munteanu 001 (IEEE Robotics Autom. Lett., 2025)