Giuseppe Serra
Associate Professor, University of Udine
Giuseppe Serra is an Associate Professor at University of Udine, Italy, since November 2019. He received his Ph.D. in Computer Engineering, Multimedia and Telecommunications in 2010 at the University of Florence, Italy. From 2014 to 2016 he was an Assistant Professor at the University of Modena and Reggio Emilia, Italy. He was a visiting researcher at Carnegie Mellon University, Pittsburgh, USA, and at Telecom ParisTech/ENST, Paris, in 2006 and 2010 respectively.
His research interests include Machine Learning and Deep Learning. He was the lead organizer of the “International Workshop on Egocentric Perception, Interaction and Computing (EPIC)” in 2016 and 2017 (ECCV’16 – ICCV’17) and he gave tutorials at two international conferences (ICPR’12, CAIP’13). He also serves as an Editor Board of IEEE THMS and ACM TOMM. He was a Technical Program Committee member of several conferences and workshops. He regularly serves as reviewer for international conferences and journals such as AAAI, ICML, NIPS, ACL, ECCV, CVPR, IEEE TPAMI, IEEE TMM. He has published more than 70 publications in the most prestigious journals and conferences in the field. He supervised more than 10 PhD Students. He is leading the Artificial Intelligence Laboratory.
Workshop with Alex Falcon (AI-DLDA 2024)
Text-to-Metaverse Retrieval: A New Frontier in Search
In recent years, the Metaverse has sparked an increasing interest across the globe and is projected to reach a market size of more than $1000B by 2030. This is due to its many potential applications in highly heterogeneous fields, such as entertainment and multimedia consumption, training, and industry. This new technology raises many research challenges since, as opposed to the more traditional scene understanding, metaverse scenarios contain additional multimedia content, such as movies in virtual cinemas and operas in digital theaters, which greatly influence the relevance of the metaverse to a user query. For instance, if a user is looking for Impressionist exhibitions in a virtual museum, only the museums that showcase exhibitions featuring various Impressionist painters should be considered relevant.
Workshop with Beatrice Portelli (AI-DLDA 2023)
Exploring the Capabilities of Language Models
The workshop delves into the world of transformer-based models. With a particular focus on state-of-the-art generative language models, such as GPT and T5, attendees will gain insights into their architecture, underlying principles, and impressive language processing capabilities.
The lab session is designed to be interactive and hands-on, with participants actively engaging in practical exercises using jupyter notebooks. Through guided examples and coding activities, attendees will have the opportunity to explore the full potential of language models firsthand.
The objective of the lab session is to empower participants to independently explore and experiment with these powerful language models. No prior experience with transformer models is required to participate in this workshop.
