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Alessio Del Bue

Head of PAVIS
Senior Researcher Tenured - Principal Investigator
Pattern Analysis and Computer Vision
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About

Alessio Del Bue is a tenured senior researcher leading the PAVIS (Pattern Analysis 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.

Education

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

All Publications
2025
Serez D., Cristani M., Del Bue A., Morerio P., Murino V.
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks
IEEE/CVF Winter Conference on Applications of Computer Vision
Conference Paper Conference
2024
Bortolon M., Tsesmelis T., James S., Poiesi F., Del Bue A.
6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model
European Conference on Computer Vision
Conference Paper Conference
2024
Vittorio S., Lunghini F., Morerio P., Gadioli D., Orlandini S., Silva P., Martinovic J., Pedretti A., Bonanni D., Del Bue A., Palermo G., Vistoli G., Beccari A.
Addressing docking pose selection with structure-based deep learning: recent advances, challenges and opportunities
Computational and Structural Biotechnology Journal
Article Journal
2024
Vittorio S., Lunghini F., Morerio P., Gadioli D., Orlandini S., Silva P., Martinovic J., Pedretti A., Bonanni D., Del Bue A., Palermo G., Vistoli G., Beccari A.R.
Addressing docking pose selection with structure-based deep learning: Recent advances, challenges and opportunities
Computational and Structural Biotechnology Journal, vol. 23, pp. 2141-2151
Review Journal
2024
Thakur S., Beyan C., Morerio P., Murino V., Bue A.D.
Anticipating Next Active Objects for Egocentric Videos
IEEE Access
Article Journal