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A spatial attentive and temporal dilated (SATD) GCN for skeleton‐based action recognition

https://doi.org/10.1049/cit2.12012
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01246-5_7openalex-snapshot
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning
inferredcites →https://doi.org/10.1007/978-3-319-46487-9_50openalex-snapshot
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
inferredcites →https://doi.org/10.1007/s11263-020-01331-0openalex-snapshot
Weakly-supervised Semantic Guided Hashing for Social Image Retrieval
inferredcites →https://doi.org/10.1016/j.patcog.2017.02.030openalex-snapshot
Enhanced skeleton visualization for view invariant human action recognition
inferredcites →https://doi.org/10.1016/j.patcog.2018.01.020openalex-snapshot
Multi-stream CNN: Learning representations based on human-related regions for action recognition
inferredcites →https://doi.org/10.1093/bioinformatics/btx252openalex-snapshot
Predicting multicellular function through multi-layer tissue networks
inferredcites →https://doi.org/10.1109/acpr.2015.7486569openalex-snapshot
Skeleton based action recognition with convolutional neural network
inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2014.82openalex-snapshot
Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group
inferredcites →https://doi.org/10.1109/cvpr.2015.7298714openalex-snapshot
Hierarchical recurrent neural network for skeleton based action recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7299176openalex-snapshot
Modeling video evolution for action recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.115openalex-snapshot
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
inferredcites →https://doi.org/10.1109/cvpr.2016.484openalex-snapshot
Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.143openalex-snapshot
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
inferredcites →https://doi.org/10.1109/cvpr.2017.486openalex-snapshot
A New Representation of Skeleton Sequences for 3D Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.576openalex-snapshot
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
inferredcites →https://doi.org/10.1109/cvpr.2018.00558openalex-snapshot
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00572openalex-snapshot
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
inferredcites →https://doi.org/10.1109/cvpr.2018.00742openalex-snapshot
Cascaded Pyramid Network for Multi-person Pose Estimation
inferredcites →https://doi.org/10.1109/cvpr.2019.00132openalex-snapshot
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00371openalex-snapshot
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.01230openalex-snapshot
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1109/cvprw.2017.207openalex-snapshot
Interpretable 3D Human Action Analysis with Temporal Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2017.233openalex-snapshot
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data
inferredcites →https://doi.org/10.1109/iccv.2019.00053openalex-snapshot
Few-Shot Image Recognition With Knowledge Transfer
inferredcites →https://doi.org/10.1109/iccv.2019.00698openalex-snapshot
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition
inferredcites →https://doi.org/10.1109/iccv.2019.00706openalex-snapshot
SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning
inferredcites →https://doi.org/10.1109/iccv.2019.01041openalex-snapshot
Relation-Aware Graph Attention Network for Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv.2019.01046openalex-snapshot
Mixture-Kernel Graph Attention Network for Situation Recognition
inferredcites →https://doi.org/10.1109/icmew.2017.8026282openalex-snapshot
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep CNN
inferredcites →https://doi.org/10.1109/icmew.2017.8026285openalex-snapshot
Skeleton-based action recognition with convolutional neural networks
inferredcites →https://doi.org/10.1109/tcsvt.2018.2879913openalex-snapshot
Skeleton-Based Action Recognition With Gated Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/tip.2018.2890749openalex-snapshot
Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-snapshot
The Graph Neural Network Model
inferredcites →https://doi.org/10.1109/tpami.2019.2916873openalex-snapshot
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
inferredcites →https://doi.org/10.1109/wacv45572.2020.9093598openalex-snapshot
Long-Short Graph Memory Network for Skeleton-based Action Recognition
inferredcites →https://doi.org/10.1145/1557019.1557109openalex-snapshot
Relational learning via latent social dimensions
inferredcites →https://doi.org/10.1504/ijbic.2016.10004307openalex-snapshot
A Mathematical Framework for Possibility Theory Based Hidden Markov Model
inferredcites →https://doi.org/10.1609/aaai.v31i1.11212openalex-snapshot
An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data
inferredcites →https://doi.org/10.1609/aaai.v32i1.12328openalex-snapshot
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1609/aaai.v33i01.33018989openalex-snapshot
Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1609/aaai.v34i01.5480openalex-snapshot
RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.48550/arxiv.1406.2199openalex-snapshot
Two-Stream Convolutional Networks for Action Recognition in Videos
inferredcites →https://doi.org/10.48550/arxiv.1606.09375openalex-snapshot
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
inferredcites →https://doi.org/10.48550/arxiv.1705.06950openalex-snapshot
The Kinetics Human Action Video Dataset
inferredcites →https://doi.org/10.48550/arxiv.1705.08106openalex-snapshot
Two-Stream 3D Convolutional Neural Network for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.48550/arxiv.1809.04983openalex-snapshot
Part-based Graph Convolutional Network for Action Recognition
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-snapshot
PyTorch: An Imperative Style, High-Performance Deep Learning Library
inferredcites →https://doi.org/10.5281/zenodo.1318390openalex-snapshot
Advances In Deep Learning On Graphs (Gsp'18 Workshop)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Harnessing Time: A Skeleton Temporal Fusion Graph Convolutional Network for Action Recognition
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Martial arts action recognition based on improved method of human pose estimation using stacked hourglass network
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SVM action recognition model based on skeletal key point analysis with posture sensors to help sports training
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Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis
inferred← citeshttps://doi.org/10.19139/soic-2310-5070-1967openalex-snapshot
Object Knowledge Integration for Skeleton-Based Action Recognition
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2045011/v1openalex-snapshot
Extended Multi-Stream Adaptive Graph Convolutional Networks (EMS-AAGCN) for Skeleton-Based Human Action Recognition
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3019986/v1openalex-snapshot
Human Skeleton Action Recognition Based on Monocular Depth Estimation
inferred← citeshttps://doi.org/10.2196/80102openalex-snapshot
Integrating Care Context With Skeleton and Depth Information for Older Adult Activity Recognition in a Care Facility Using Care-Assessment-Aware Spatiotemporal Transformer: Method and Validation Study
inferred← citeshttps://doi.org/10.31449/inf.v48i23.6759openalex-snapshot
A Study of Starting Correction in Sports Based in Human Posture Estimation and Attention Mechanism
inferred← citeshttps://doi.org/10.3389/fphys.2024.1344887openalex-snapshot
Robust human locomotion and localization activity recognition over multisensory
inferred← citeshttps://doi.org/10.3390/computation10090148openalex-snapshot
Face Detection & Recognition from Images & Videos Based on CNN & Raspberry Pi
inferred← citeshttps://doi.org/10.3390/electronics12071711openalex-snapshot
2s-GATCN: Two-Stream Graph Attentional Convolutional Networks for Skeleton-Based Action Recognition
inferred← citeshttps://doi.org/10.3390/electronics12132852openalex-snapshot
Adaptive Multi-Scale Difference Graph Convolution Network for Skeleton-Based Action Recognition
inferred← citeshttps://doi.org/10.3390/math11194174openalex-snapshot
CMKG: Construction Method of Knowledge Graph for Image Recognition
inferred← citeshttps://doi.org/10.3390/math13121916openalex-snapshot
ResPoNet: A Residual Neural Network for Efficient Valuation of Large Variable Annuity Portfolios
inferred← citeshttps://doi.org/10.3390/mi14122204openalex-snapshot
Biosensor-Based Multimodal Deep Human Locomotion Decoding via Internet of Healthcare Things
inferred← citeshttps://doi.org/10.3390/s22197117openalex-snapshot
Fast Temporal Graph Convolutional Model for Skeleton-Based Action Recognition
inferred← citeshttps://doi.org/10.3390/s23249738openalex-snapshot
Action Recognition Based on Multi-Level Topological Channel Attention of Human Skeleton
inferred← citeshttps://doi.org/10.3390/s24103033openalex-snapshot
Expert–Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism
inferred← citeshttps://doi.org/10.3390/su151914183openalex-snapshot
Experimental Investigation and Proposal of Artificial Neural Network Models of Lead and Cadmium Heavy Metal Ion Removal from Water Using Porous Nanomaterials
inferred← citeshttps://doi.org/10.3390/su151914597openalex-snapshot
Vehicle Detection and Classification via YOLOv8 and Deep Belief Network over Aerial Image Sequences
inferred← citeshttps://doi.org/10.3390/su152014780openalex-snapshot
Predictive Analytics for Sustainable E-Learning: Tracking Student Behaviors
inferred← citeshttps://doi.org/10.3390/sym15040906openalex-snapshot
EcReID: Enhancing Correlations from Skeleton for Occluded Person Re-Identification
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