We present here the analysis of multimodal data gathered during realistic face-to-face interaction of a target speaker with a number of interlocutors. Videos and gaze of both inte...
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
In this paper we present our work toward the creation of a multimodal expressive Embodied Conversational Agent (ECA). Our agent, called Greta, exhibits nonverbal behaviors synchro...
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...