IIT People Search

Alessio Del Bue

Head of PAVIS
Senior Researcher Tenured - Principal Investigator
Visual Geometry and Modelling
Research center

Alessio Del Bue is a tenured senior researcher leading the PAVIS (Pattern Analyisis and computer VISion) research line of the Italian Institute of Technology (IIT) in Genova, Italy. Previously, he was a researcher in the Institute for Systems and Robotics at the Instituto Superior Técnico (IST) in Lisbon, Portugal. Before that, he obtained my Ph.D. under the supervision of Dr. Lourdes Agapito in the Department of Computer Science at Queen Mary University of London.His current research interests are related to 3D scene understanding from multi-modal input (images, depth, audio) to support the development of assistive Artificial Intelligence systems. He is co-author of more than 100 scientific publications, in refereed journals and international conferences, member of the technical committees of important computer vision conferences (CVPR, ICCV, ECCV, BMVC, etc.), and he serves as an associate editor of Pattern Recognition and Computer Vision and Image Understanding journals. Finally, Dr. Del Bue is an IEEE and ELLIS member in the recently formed Genoa unit.


Title: Ph.D. student in Computer Science
Institute: Queen Mary University of London
Location: London
Country: UK
From: 2002 To: 2006

All Publications
Petrushin A., Freddolini M., Barresi G., Bustreo M., Laffranchi M., Del Bue A., De Michieli L.
IoT-powered Monitoring Systems for Geriatric Healthcare: Overview
Internet of Things for Human-Centered Design: Application to Elderly Healthcare, Publisher: Springer
Book Chapter Book
Jensen S.H.N., Doest M.E.B., Aanaes H., Del Bue A.
A Benchmark and Evaluation of Non-Rigid Structure from Motion
International Journal of Computer Vision, vol. 129, (no. 4), pp. 882-899
Article Journal
Haleem N., Bustreo M., Del Bue A.
A computer vision based online quality control system for textile yarns
Computers in Industry, vol. 133
Article Journal
Doria S., Valeri F., Lasagni L., Sanguineti V., Ragonesi R., Akbar M.U., Gnerucci A., Del Bue A., Marconi A., Risaliti G., Grigioni M., Miele V., Sona D., Cisbani E., Gori C., Taddeucci A.
Addressing signal alterations induced in CT images by deep learning processing: A preliminary phantom study
Physica Medica, vol. 83, pp. 88-100
Article Journal
Soda P., D'Amico N.C., Tessadori J., Valbusa G., Guarrasi V., Bortolotto C., Akbar M.U., Sicilia R., Cordelli E., Fazzini D., Cellina M., Oliva G., Callea G., Panella S., Cariati M., Cozzi D., Miele V., Stellato E., Carrafiello G., Castorani G., Simeone A., Preda L., Iannello G., Del Bue A., Tedoldi F., Ali M., Sona D., Papa S.
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
Medical Image Analysis, vol. 74
Article Journal