We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
This paper presents our progress on OpenVL - a novel software architecture to address efficiency through facilitating hardware acceleration, reusability and scalability for comput...
Symmetry is one of the important cues for human and machine perception of the world. For over three decades, automatic symmetry detection from images/patterns has been a standing ...
Minwoo Park, Seungkyu Lee, Po-Chun Chen, Somesh Ka...
We present a secure network service for sovereign information sharing whose only trusted component is an off-theshelf secure coprocessor. The participating data providers send enc...
Rakesh Agrawal, Dmitri Asonov, Murat Kantarcioglu,...
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...