Search Results for author: Bruce Xiaohan Nie

Found 3 papers, 0 papers with code

Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose

no code implementations6 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.

Attribute Human Detection +1

Joint Action Recognition and Pose Estimation From Video

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.

Action Recognition Pose Estimation +2

Monocular 3D Human Pose Estimation by Predicting Depth on Joints

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)

Depth Estimation Depth Prediction +1

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