Stefano Berretti

Papers

Total Citations

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About

Stefano Berretti is a leading figure in computer vision, with a primary focus on 3D vision, biometrics, and multimedia content analysis. His most influential work centers on harnessing deep learning for 3D data interpretation, addressing the challenges posed by depth cameras and laser scanning systems. A key contribution is his 2022 survey on deep learning for 3D vision, which synthesizes advances in convolutional neural networks and transformers for processing 3D data, serving as a critical resource for researchers navigating this rapidly evolving field. With over 4,000 citations to his name, Berretti’s impact is substantial, particularly in face recognition and 3D object retrieval. He has also made notable strides in 3D facial analysis, developing robust methods for expression-invariant recognition and aging simulation. His work bridges theoretical innovation and practical application, earning him recognition as a senior member of IEEE and a frequent organizer of international workshops. For students and researchers, Berretti’s research offers a roadmap for leveraging deep learning to unlock the potential of 3D visual data.