Iterative graph filtering network for 3D human pose estimation-Reference-Cited by-同舟云学术

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Iterative graph filtering network for 3D human pose estimation

Published:2023-09 Issue: Volume:95 Page:103908
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Islam Zaedul,Hamza A. Ben

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference72 articles.

1. Human pose estimation and its application to action recognition: A survey;Song;J. Vis. Commun. Image Represent.,2021

2. Accurate pedestrian detection by human pose regression;Zhao;IEEE Trans. Image Process.,2019

3. C. Rougier, J. Meunier, A. St-Arnaud, J. Rousseau, Monocular 3D head tracking to detect falls of elderly people, in: Proc. International Conference of the IEEE Engineering in Medicine and Biology Society, 2006, pp. 6384–6387.

4. Recent advances of monocular 2D and 3D human pose estimation: A deep learning perspective;Liu;ACM Comput. Surv.,2022

5. X. Zhou, X. Sun, W. Zhang, S. Liang, Y. Wei, Deep kinematic pose regression, in: Proc. European Conference on Computer Vision, 2016, pp. 186–201.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-hop graph transformer network for 3D human pose estimation;Journal of Visual Communication and Image Representation;2024-05

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