Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks

Despite great progress in 3D pose estimation from single-view images or videos, it remains a challenging task due to the substantial depth ambiguity and severe selfocclusions. Motivated by the effectiveness of incorporating spatial dependencies and temporal consistencies to alleviate these issu...

Full description

Saved in:
Bibliographic Details
Main Authors: Cai, Yujun, Ge, Liuhao, Liu, Jun, Cai, Jianfei, Cham, Tat-Jen, Yuan, Junsong, Thalmann, Nadia Magnenat
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/86102
http://hdl.handle.net/10220/49902
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Be the first to leave a comment!
You must be logged in first