El próximo viernes 2 de octubre, a las 12h., en el Seminario del I3A (Edificio Institutos, bloque 5, 2ª planta), tendrá lugar la conferencia Deep Shape Design, impartida por Pascal Fua.
Esta actividad está promovida por la cátedra ENIA de IA y Sostenibilidad.
Abstract
In recent years, we have been developing generative AI methods to design increasingly complex objects. Our goal is to improve performance while ensuring that these objects remain controllable. This requires addressing several challenging problems, including:
- Modeling composite objects in a way that preserves consistency under deformation.
- Estimating the uncertainty of the surrogate models used to predict performance during optimization
- Co-designing objects for both high performance and ease of control.
In this talk, I will present our approach to these challenges and describe end-to-end design pipelines that have the potential to radically transform computer-assisted engineering.
Bio
Pascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and a Ph.D. in Computer Science from the University of Orsay in 1989. He joined EPFL (Swiss Federal Institute of Technology) in 1996 where he is a Professor in the School of Computer and Communication Science and head of the Computer Vision Lab. Before that, he worked at SRI International and at INRIA Sophia-Antipolis as a Computer Scientist.
His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and machine learning. He has (co)authored over 400 publications in refereed journals and conferences. He has received several ERC grants. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has cofounded three spinoff companies.
