Recent Internet applications, such as online social networks and user-generated content sharing, produce an unprecedented amount of social information, which is further augmented b...
Nicolas Kourtellis, Joshua Finnis, Paul Anderson, ...
This paper presents a bio-inspired model for visual perception of motion through its principal indicator : the neuromimetic motion indicator (NMI). This indicator emerges out of th...
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
— We are currently investigating the use of rhythm and synchrony in human-robot interaction. Specifically, we are developing techniques for the perception and generation of soci...