Hierarchical Contextual Refinement Networks for Human Pose Estimation-Reference-Cited by-同舟云学术

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Hierarchical Contextual Refinement Networks for Human Pose Estimation

Published:2019-02 Issue:2 Volume:28 Page:924-936
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Nie Xuecheng^ORCID,Feng Jiashi,Xing Junliang^ORCID,Xiao Shengtao,Yan Shuicheng

Funder

NUS

ECRA

MOE Tier-II

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8478029/08482293.pdf?arnumber=8482293

Cited by 44 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. TP-LSM: visual temporal pyramidal time modeling network to multi-label action detection in image-based AI;The Visual Computer;2024-08-30

2. Joint multi-scale transformers and pose equivalence constraints for 3D human pose estimation;Journal of Visual Communication and Image Representation;2024-08

3. A Graph Convolution Network and Fuzzy C-Means Based Human Skeleton Complement Method for Action Recognition Dataset Improvement;2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE);2023-11-17

4. Progressive Direction-Aware Pose Grammar for Human Pose Estimation;IEEE Transactions on Biometrics, Behavior, and Identity Science;2023-10

5. A perception-enhancement network for accurate multi-person 2D pose estimation;Applied Intelligence;2023-07-16

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