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 at 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 a co-author of more than 150 scientific publications in refereed journals and international conferences, a member of the technical committees of important computer vision conferences (CVPR, ICCV, ECCV, BMVC, etc.), and serves as an associate editor of the IEEE Transaction on Image Processing journal. Finally, Dr. Del Bue is an IEEE and ELLIS member in the Genoa unit.
Alessio Del Bue
Director of PAVIS
Senior Researcher Tenured - Principal InvestigatorPattern Analysis and Computer Vision
Phone
+39 010 2897 423
Research center
CHT@Erzelli
About
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
Zohaib M., Padalkar M.G., Morerio P., Taiana M., Del Bue A.
CDHN: Cross-domain hallucination network for 3D keypoints estimation
Pattern Recognition, vol. 160
Article
Journal
2025
Talon D., Del Bue A., James S.
GANzzle++: Generative approaches for jigsaw puzzle solving as local to global assignment in latent spatial representations
Pattern Recognition Letters, vol. 187, pp. 35-41
Article
Journal
2025
Scarpellini G., Rosa S., Morerio P., Natale L., Del Bue A.
Look Around and Learn: Self-training Object Detection by Exploration
Lecture Notes in Computer Science, vol. 15114 LNCS, pp. 72-88
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