DESCRIPTION
Geometric Learning developed as a specific field of research that aims to learn from non-Euclidean domains, like graphs, manifolds, etc. In this tutorial, we first introduce the basic theory and challenges related to learning from these data, presenting basic architectural solutions for graphs, point clouds, and meshes. Then, we will present some concrete applications that are becoming more and more common in this domain.
DETAILS
Course type: Half day Tutorial
Duration: 4 hours
Institution of lecturer: Department of Information Engineering & Media Integration and Communication Center, University of Florence, Italy
Notes: There will be a multiple-choice exam for students interested to have credits recognized
Course link: The lecture will be registered and made available. The slides of the course and other materials (code and examples) will be made available
LECTURER
Prof. Stefano Berretti
Stefano Berretti is an Associate Professor at the Department of Information Engineering of the University of Florence, Italy. Since 2017 he got the habilitation as full professor. He was a visiting professor at the University of Lille, France, and at the University of Alberta, Canada, and Adjunct Professor at the Kerala University of Digital Sciences, Innovation and Technology (India), 2021-2023 and member of the Board of Studies (BoS), School of Computer Science and Engineering (SoCSE), Kerala University of Digital Sciences, Innovation and Technology (Digital University Kerala (DUK)). The research interests of Stefano Berretti focus on 3D computer vision methods for face and facial expression recognition, biometrics, human behavior understanding, face reconstruction and generation in 3D and 4D, geometric methods for shape analysis, and modeling. On these themes, he has published over 230 articles in peer reviewed international journals and conference proceedings. He organized workshops on “Learning with few or without annotated face, body, and gesture data” (LFA at IEEE FG 2023 and 2024), “Generation of Human Face and Body Behavior” (GHB at WACV 2021, ICIAP 2023). He has been a general chair of The Eurographics Symposium on “3D Object Retrieval” (3DOR) 2022, and of the Conference on “Smart Tools and Applications in Graphics” 2021 and has served as an area chair for ACM Multimedia (2020, 2021, 2022, 2023, 2024), IEEE Face and Gesture Recognition (2019, 2020), and program chair for the Int. Conf. on Smart Multimedia (2022, 2024). He organized special issues on the Computers & Graphics journal, ACM TOMM, IEEE TII, IEEE TCE, IEEE JBHI, and ACM TALLIP. He is the Associate Editor in Chief for Digital Communications of the IEEE Trans. on Circuits and Systems for Video Technology, an Associate Editor of the ACM Trans. of Multimedia Computing, Communications, and Applications (ACM TOMM), and of the IET Computer Vision journal. He was also the Information Director of ACM TOMM. He is a Senior member of IEEE.