We propose a new spatio-temporal attention based mechanism for human action
recognition able to automatically attend to most important human hands and detect the most …

We address human action recognition from multi-modal video data involving articulated
pose and RGB frames and propose a two-stream approach. The pose stream is processed …

We propose a fully automatic method for learning gestures on big touch devices in a
potentially multi-user context. The goal is to learn general models capable of adapting to …

This chapter focuses on recent advances in social robots that are capable of sensing their
users, and support their users through social interactions, with the ultimate goal of fostering …

There are two major reasons why high-level test synthesis (HLTS) has advantages over
design for testability (DFT) at low level:(l) size complexity and (2) functional abstraction. A …

Notre perception est par nature multimodale, ie fait appel à plusieurs de nos sens. Pour
résoudre certaines tâches, il est donc pertinent d'utiliser différentes modalités, telles que le …