2015
Maximum-Margin Structured Learning With Deep Networks for 3D Human Pose Estimation
ICCV 2015poster
This paper focuses on structured-output learning using deep neural networks for 3D human pose estimation from monocular images. Our network takes an image and 3D pose as inputs and outputs a score value, which is high when the image-pose pair matches and low otherwise. The network structure consists…