This paper presents a generative human motion model for synthesis, retargeting, and editing of personalized human motion styles. We first record a human motion database from mult...
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
In this paper, we consider the Grand Challenge under a very specific perspective: the enabling of application experts without programming knowledge to reliably model their busines...
It has been shown that mutual lateral inhibition of the projection neurones in the olfactory bulb, mediated by interneurones, serves to tune the representation of odours in the bul...
Throughout its history, AI researchers have alternatively seen their mission as producing computer behavior that is indistinguishable from that of humans or as providing computati...