Hierarchical Spatial-Temporal Adaptive Graph Fusion for Monocular 3D Human Pose Estimation-Reference-Cited by-同舟云学术

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Hierarchical Spatial-Temporal Adaptive Graph Fusion for Monocular 3D Human Pose Estimation

Published:2024 Issue: Volume:31 Page:61-65
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Zhang Lijun¹^ORCID,Lu Feng²^ORCID,Zhou Kangkang¹^ORCID,Zhou Xiang-Dong¹^ORCID,Shi Yu¹^ORCID

Affiliation:

1. Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China

2. Tsinghua Shenzhen International Graduate School, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/10380231/10339802.pdf?arnumber=10339802

Reference42 articles.

1. Keypoint Aware Robust Representation for Transformer-Based Re-Identification of Occluded Person

2. Self-Guided Body Part Alignment With Relation Transformers for Occluded Person Re-Identification

3. Graph Embedded Pose Clustering for Anomaly Detection

4. Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity

5. Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose

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. ESMformer: Error-aware self-supervised transformer for multi-view 3D human pose estimation;Pattern Recognition;2024-08

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