MaLGa Colloquia - Context-aware motion prediction and embodied social navigation
Lamberto Ballan - University of Padova
A key goal of computer vision is to understand complex visual scenes, by recognizing visual concepts, localizing them, and understanding their interactions within the scene. However, most of the recent successes in visual recognition are still obtained in a static scenario in which the machine / autonomous agent is not actively interacting with the environment. In this talk, I will give an overview of our recent works in the area of human motion prediction and embodied visual navigation.
Lamberto Ballan is an Associate Professor of computer science at University of Padova, Italy, where he leads the Visual Intelligence and Machine Perception (VIMP) group. Previously, he was a senior postdoctoral researcher at Stanford University and University of Florence, Italy, supported by a prestigious Marie Curie Fellowship from the European Commission. He received the Laurea and Ph.D. degrees in computer engineering in 2006 and 2011, both from the University of Florence, and was also a visiting scholar at the Signal and Image Processing department at Telecom Paristech, France, in 2010. His research is in computer vision, closely integrated with applied machine learning and multimedia, specifically focused on exploiting big data for visual recognition problems. The main aim of his current research is on designing learning algorithms that can make the most effective use of prior and contextual knowledge in the presence of sparse and noisy data. Dr. Ballan has published more than 70 papers in the most prestigious journals and conferences in computer vision, pattern recognition, multimedia and image processing. He received the IVC best paper award 2021, and he has been an ELLIS member since 2021.
March 20th 2023, 16:00
Room 704, UniGe DIMA, Via Dodecaneso 35