We present the MotionBeam metaphor for character interaction with handheld projectors. Our work draws from the tradition of pre-cinema handheld projectors that use direct physical...
Karl D. D. Willis, Ivan Poupyrev, Takaaki Shirator...
In this paper, we present a Deformable Action Template
(DAT) model that is learnable from cluttered real-world
videos with weak supervisions. In our generative model,
an action ...
— In this paper, we present an approach that allows a robot to observe, generalize, and reproduce tasks observed from multiple demonstrations. Motion capture data is recorded in ...
Most work in human activity recognition is limited to relatively simple behaviors like sitting down, standing up or other dramatic posture changes. Very little has been achieved i...
In this paper, our objective is to facilitate the creation of novel human poses by synthesizing images. Existing approaches commonly deform one single image, which often results i...
Cedric Vanaken, Chris Hermans, Tom Mertens, Fabian...