GAIL Seminar Series: How and why should we learn avatars with sensorimotor capabilities?

In the first in the GAIL Seminar Series, Professor Gerard Pons-Moll will argue for the need for sensorimotor capabilities in intelligent systems and virtual avatars in the 3D world. He posits that to achieve natural and effective communication with humans, machines need to understand human interactions and their 3D environment. 

Similarly, to enable immersive and realistic experiences with virtual avatars in virtual spaces, machines need to synthesize human motion and behaviour in 3D virtual replicas of the world. 

Professor Pons-Moll will describe some of his group’s works to capture and generate 3D human motion and interaction jointly with virtual replicas of the 3D world, and emphasise the current challenges and opportunities to make avatars more human like. 

Biography

Gerard Pons-Moll is a Professor at the University of Tübingen endowed by the Carl Zeiss Foundation, at the department of Computer Science. He is also core faculty at the Tübingen AI Center, senior researcher at the Max Planck for Informatics (MPII) in Saarbrücken, Germany, and program director of the new ELLIS program graphics and vision. 

His research lies at the intersection of computer vision, computer graphics and machine learning - with special focus on analyzing people in videos, and creating virtual human models by "looking" at real ones. 

His research has produced some of the most advanced statistical human body models of pose, shape, soft-tissue and clothing (which are currently used for a number of applications in industry and research), as well as algorithms to track and reconstruct 3D people models from images, video, depth, and IMUs.