Invited Speakers

Professor of Computer Science at University of Illinois at Urbana-Champaign.
Title of Talk: What can messy rooms teach us about spatial representation?
Abstract: When we think of spatially organizing visual data, we typically think of 2D and 3D maps.  But in many other areas, centralized organizations have eventually given way to distributed ones. In this speculative talk, I will argue for why we should develop 3D representations beyond point clouds, NeRF models, and maps, and discuss what such representations might look like.

Assistant Professor at the Illinois University 

He finished his PhD at the Department of Computer Science, University of Toronto, and worked as a research scientist at Uber, advised by Raquel Urtasun.

Title of Talk: Interactive images and videos

Researcher at Naver Labs Europe

She does research on lifelong learning for visual representations, with applications to the semantic and geometrical understanding of complex scenes.

Title of Talk: Towards a Geometric Understanding in Egocentric Videos

Full Professor of Computer Science at IMT Nord Europe and the Head of the Image group at CRISTAL Laboratory

His research interests include computer vision and machine learning for human behavior understanding.

Title of Talk: Learning to synthesize 3D faces and human interactions