Global Relation Reasoning Graph Convolutional Networks for Human Pose Estimation

Global Relation Reasoning Graph Convolutional Networks for Human Pose Estimation

We explore the importance of global relation reasoning in Human Pose Estimation (HPE). Global relation reasoning aims to globally learn relations among regions of images or videos. For HPE, if we can globally model the relations among different body joints, we may mitigate some challenges such as oc...

Full description

Bibliographic Details
Main Authors:	Rui Wang, Chenyang Huang, Xiangyang Wang
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Human pose estimation graph convolutional networks (GCN) global relation reasoning
Online Access:	https://ieeexplore.ieee.org/document/8990101/

Similar Items

SCGFormer: Semantic Chebyshev Graph Convolution Transformer for 3D Human Pose Estimation
by: Jiayao Liang, et al.
Published: (2024-02-01)

Joint graph convolution networks and transformer for human pose estimation in sports technique analysis
by: Hongren Cheng, et al.
Published: (2023-12-01)

Pre-weighted Modulated Dense Graph Convolutional Networks for 3D Human Pose Estimation
by: MA Jinlin, CUI Qilei, MA Ziping, YAN Qi, CAO Haojie, WU Jiangtao
Published: (2024-04-01)

Semantic–Structural Graph Convolutional Networks for Whole-Body Human Pose Estimation
by: Weiwei Li, et al.
Published: (2022-02-01)

Human Pose Estimation Based on a Spatial Temporal Graph Convolutional Network
by: Meng Wu, et al.
Published: (2023-03-01)

3D Hand Pose Estimation via Graph-Based Reasoning
by: Jae-Hun Song, et al.
Published: (2021-01-01)

A Hybrid Neural Network for Graph-Based Human Pose Estimation From 2D Images
by: Huynh The Vu, et al.
Published: (2020-01-01)

Drone Detection and Pose Estimation Using Relational Graph Networks
by: Ren Jin, et al.
Published: (2019-03-01)

Coarse-to-Fine Hand–Object Pose Estimation with Interaction-Aware Graph Convolutional Network
by: Maomao Zhang, et al.
Published: (2021-12-01)

Camera distance helps 3D hand pose estimated from a single RGB image
by: Yuan Cui, et al.
Published: (2023-05-01)

Dynamic Fall Detection Using Graph-Based Spatial Temporal Convolution and Attention Network
by: Rei Egawa, et al.
Published: (2023-07-01)

Signgraph: An Efficient and Accurate Pose-Based Graph Convolution Approach Toward Sign Language Recognition
by: Neelma Naz, et al.
Published: (2023-01-01)

Dual-channel deep graph convolutional neural networks
by: Zhonglin Ye, et al.
Published: (2024-04-01)

Improved Convolutional Pose Machines for Human Pose Estimation Using Image Sensor Data
by: Baohua Qiang, et al.
Published: (2019-02-01)

Feature recommendation strategy for graph convolutional network
by: Jisheng Qin, et al.
Published: (2022-12-01)

Motion Capture for Sporting Events Based on Graph Convolutional Neural Networks and Single Target Pose Estimation Algorithms
by: Chengpeng Duan, et al.
Published: (2023-06-01)

Graph U-Shaped Network with Mapping-Aware Local Enhancement for Single-Frame 3D Human Pose Estimation
by: Bing Yu, et al.
Published: (2023-10-01)

A Parameter Efficient Human Pose Estimation Method Based on Densely Connected Convolutional Module
by: Ziren Wang, et al.
Published: (2018-01-01)

3D Human Pose Estimation With Generative Adversarial Networks
by: Hailun Xia, et al.
Published: (2020-01-01)

Label-Driven Graph Convolutional Network for Multilabel Remote Sensing Image Classification
by: Boyi Ma, et al.
Published: (2024-01-01)

Pathological-Gait Recognition Using Spatiotemporal Graph Convolutional Networks and Attention Model
by: Jungi Kim, et al.
Published: (2022-06-01)

The Progress of Human Pose Estimation: A Survey and Taxonomy of Models Applied in 2D Human Pose Estimation
by: Tewodros Legesse Munea, et al.
Published: (2020-01-01)

DSPose: Dual-Space-Driven Keypoint Topology Modeling for Human Pose Estimation
by: Anran Zhao, et al.
Published: (2023-09-01)

Pose-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition
by: Han Chen, et al.
Published: (2022-01-01)

Multi-Semantic Alignment Graph Convolutional Network
by: Jisheng Qin, et al.
Published: (2022-12-01)

Exploring Rare Pose in Human Pose Estimation
by: Jihye Hwang, et al.
Published: (2020-01-01)

Context-Specific Heterogeneous Graph Convolutional Network for Implicit Sentiment Analysis
by: Enguang Zuo, et al.
Published: (2020-01-01)

Graph convolutional network-based security-constrained unit commitment leveraging power grid topology in learning
by: Xian Tang, et al.
Published: (2023-12-01)

Probabilistic Pose Estimation From Multiple Hypotheses
by: Omar Del-Tejo-Catala, et al.
Published: (2023-01-01)

Grasping Pose Estimation for Robots Based on Convolutional Neural Networks
by: Tianjiao Zheng, et al.
Published: (2023-10-01)

Improving Human Pose Estimation With Self-Attention Generative Adversarial Networks
by: Xiangyang Wang, et al.
Published: (2019-01-01)

PosturePose: Optimized Posture Analysis for Semi-Supervised Monocular 3D Human Pose Estimation
by: Lawrence Amadi, et al.
Published: (2023-12-01)

The Status and Trend of Chinese News Forecast Based on Graph Convolutional Network Pooling Algorithm
by: Xiao Han, et al.
Published: (2022-01-01)

Symbolism and Directivity of Joint Keypoints in Temporal and Spatial Dimensions in Human Pose Prediction With GCN-Based Model
by: Jinhui Li, et al.
Published: (2023-01-01)

Multiorder Graph Convolutional Network With Channel Attention for Hyperspectral Change Detection
by: Yuxiang Zhang, et al.
Published: (2024-01-01)

Graph-Based Hand-Object Meshes and Poses Reconstruction With Multi-Modal Input
by: Murad Almadani, et al.
Published: (2021-01-01)

Graph Convolutional Network for 3D Object Pose Estimation in a Point Cloud
by: Tae-Won Jung, et al.
Published: (2022-10-01)

Human action recognition using a convolutional neural network based on skeleton heatmaps from two-stage pose estimation
by: Ruiqi Sun, et al.
Published: (2022-09-01)

Aspect-Specific Heterogeneous Graph Convolutional Network for Aspect-Based Sentiment Classification
by: Kuanhong Xu, et al.
Published: (2020-01-01)

Human pose estimation using artificial intelligence
by: Zheng, Zhoudong
Published: (2024)