no code implementations • ICCV 2017 • Bruce Xiaohan Nie, Ping Wei, Song-Chun Zhu
This paper aims at estimating full-body 3D human poses from monocular images of which the biggest challenge is the inherent ambiguity introduced by lifting the 2D pose into 3D space.
Ranked #113 on 3D Human Pose Estimation on Human3.6M (PA-MPJPE metric)
no code implementations • 6 May 2016 • Se-Young Park, Bruce Xiaohan Nie, Song-Chun Zhu
The A-AOG model is an amalgamation of three traditional grammar formulations: (i) Phrase structure grammar representing the hierarchical decomposition of the human body from whole to parts; (ii) Dependency grammar modeling the geometric articulation by a kinematic graph of the body pose; and (iii) Attribute grammar accounting for the compatibility relations between different parts in the hierarchy so that their appearances follow a consistent style.
no code implementations • CVPR 2015 • Bruce Xiaohan Nie, Caiming Xiong, Song-Chun Zhu
Action recognition and pose estimation from video are closely related tasks for understanding human motion, most methods, however, learn separate models and combine them sequentially.