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Hypergraph Neural Network for Skeleton-Based Action Recognition

https://doi.org/10.1109/tip.2021.3051495

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What this work says

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

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Local Spectral Graph Convolution for Point Set Feature Learning

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Omni-Sourced Webly-Supervised Learning for Video Recognition

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/10.1007/978-3-319-46493-0_3openalex-snapshot

Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons

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A Survey on Human Motion Analysis from Depth Data

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Space-time representation of people based on 3D skeletal data: A review

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Convolutional relation network for skeleton-based action recognition

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3D skeleton-based human action classification: A survey

inferredcites →https://doi.org/10.1016/j.patcog.2017.02.030openalex-snapshot

Enhanced skeleton visualization for view invariant human action recognition

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Mining actionlet ensemble for action recognition with depth cameras

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.2016.213openalex-snapshot

Convolutional Two-Stream Network Fusion for Video Action Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.137openalex-snapshot

Deep Learning on Lie Groups for Skeleton-Based Action Recognition

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.2017.502openalex-snapshot

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

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.2019.00132openalex-snapshot

An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/cvpr.2019.00354openalex-snapshot

Semantic Graph Convolutional Networks for 3D Human Pose Regression

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.2012.6239233openalex-snapshot

View invariant human action recognition using histograms of 3D joints

inferredcites →https://doi.org/10.1109/cvprw.2013.153openalex-snapshot

Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition

inferredcites →https://doi.org/10.1109/cvprw.2017.207openalex-snapshot

Interpretable 3D Human Action Analysis with Temporal Convolutional Networks

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A “string of feature graphs” model for recognition of complex activities in natural videos

inferredcites →https://doi.org/10.1109/iccv.2013.342openalex-snapshot

The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection

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.2019.00630openalex-snapshot

SlowFast Networks for Video Recognition

inferredcites →https://doi.org/10.1109/icip.2019.8802917openalex-snapshot

Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons

inferredcites →https://doi.org/10.1109/icme.2019.00078openalex-snapshot

Graph Convolutional LSTM Model for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/msp.2012.2235192openalex-snapshot

The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

inferredcites →https://doi.org/10.1109/tip.2015.2456412openalex-snapshot

Human Action Recognition in Unconstrained Videos by Explicit Motion Modeling

inferredcites →https://doi.org/10.1109/tip.2018.2815744openalex-snapshot

Action-Attending Graphic Neural Network

inferredcites →https://doi.org/10.1109/tip.2018.2837386openalex-snapshot

Beyond Joints: Learning Representations From Primitive Geometries for Skeleton-Based Action Recognition and Detection

inferredcites →https://doi.org/10.1109/tpami.2018.2868668openalex-snapshot

Temporal Segment Networks for Action Recognition in Videos

inferredcites →https://doi.org/10.1109/tpami.2019.2896631openalex-snapshot

View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition

inferredcites →https://doi.org/10.1109/tsp.2018.2879624openalex-snapshot

CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters

inferredcites →https://doi.org/10.1145/1922649.1922653openalex-snapshot

Human activity analysis

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.v33i01.33018561openalex-snapshot

Spatio-Temporal Graph Routing 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/10.17863/cam.48429openalex-snapshot

Graph Attention Networks

inferredcites →https://doi.org/10.24963/ijcai.2018/109openalex-snapshot

Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

inferredcites →https://doi.org/10.4018/ijaci.2017100101openalex-snapshot

Approaches and Applications of Virtual Reality and Gesture Recognition

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/10.4230/lipics.sea.2024.20openalex-snapshot

Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1511.02136openalex-snapshot

Diffusion-Convolutional Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1705.06950openalex-snapshot

The Kinetics Human Action Video Dataset

inferredcites →https://doi.org/10.5281/zenodo.1318390openalex-snapshot

Advances In Deep Learning On Graphs (Gsp'18 Workshop)

inferredcites →https://doi.org/10.57702/jtuxnt5mopenalex-snapshot

The kinetics human action video dataset

What points at this work

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

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Towards Adaptive Information Propagation and Aggregation in Hypergraph Model for Node Classification

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WiSk : A Lightweight Multimodal Human Activity Recognition Method Based on WiFi Channel State Information and Video Skeleton Images

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Dual-Aware Hypergraph Convolutional Network for Spatiotemporal Coupled Skeleton-Based Action Recognition

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Motion guided Channel wise Hypergraph convolutional network for skeleton action recognition

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Hierarchical Multi-Scale Hypergraph Convolutional Network for Human Action Recognition

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Tensorized High-Order Hypergraph Convolutional Network for Hyperspectral Image Classification

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Fault Prediction for Electromechanical Equipment Based on Spatial-Temporal Graph Information

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Multiresolution Hypergraph Neural Network for Intelligent Fault Diagnosis

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2021 Index IEEE Transactions on Image Processing Vol. 30

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Multilevel Spatial–Temporal Excited Graph Network for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.1109/tip.2023.3308750openalex-snapshot

B2C-AFM: Bi-Directional Co-Temporal and Cross-Spatial Attention Fusion Model for Human Action Recognition

inferred← citeshttps://doi.org/10.1109/tip.2024.3391913openalex-snapshot

Multi-View Time-Series Hypergraph Neural Network for Action Recognition

inferred← citeshttps://doi.org/10.1109/tip.2025.3528218openalex-snapshot

Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behavior

inferred← citeshttps://doi.org/10.1109/tip.2025.3586487openalex-snapshot

Zero-Shot Skeleton-Based Action Recognition With Prototype-Guided Feature Alignment

inferred← citeshttps://doi.org/10.1109/tip.2025.3592551openalex-snapshot

Hypergraph Mamba Reasoning-Based Social Relation Recognition

inferred← citeshttps://doi.org/10.1109/tip.2025.3624601openalex-snapshot

Text-Controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion

inferred← citeshttps://doi.org/10.1109/tnnls.2022.3212700openalex-snapshot

Hypergraph Structural Information Aggregation Generative Adversarial Networks for Diagnosis and Pathogenetic Factors Identification of Alzheimer’s Disease With Imaging Genetic Data

inferred← citeshttps://doi.org/10.1109/tnnls.2024.3422265openalex-snapshot

Dynamical Attention Hypergraph Convolutional Network for Group Activity Recognition

inferred← citeshttps://doi.org/10.1109/tnnls.2025.3542176openalex-snapshot

Mode Hypergraph Neural Network

inferred← citeshttps://doi.org/10.1109/tpami.2024.3363831openalex-snapshot

One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching

inferred← citeshttps://doi.org/10.1109/tpami.2026.3655147openalex-snapshot

Generalizable Egocentric Task Verification via Cross-Modal Hybrid Hypergraph Matching

inferred← citeshttps://doi.org/10.1109/tsipn.2023.3345142openalex-snapshot

Learning Hypergraphs Tensor Representations From Data via t-HGSP

inferred← citeshttps://doi.org/10.1109/wacv61041.2025.00938openalex-snapshot

Autoregressive Adaptive Hypergraph Transformer for Skeleton-Based Activity Recognition

inferred← citeshttps://doi.org/10.1117/1.jei.34.2.023003openalex-snapshot

Temporal refinement with channel topology attention network for skeleton-based action recognition

inferred← citeshttps://doi.org/10.1142/s0219843626400128openalex-snapshot

Intrinsic Topology and Multi-Scale Temporal Modeling for Skeleton-Based Human Action Recognition in Smart Surveillance Systems

inferred← citeshttps://doi.org/10.1145/3581783.3612280openalex-snapshot

Self-Relational Graph Convolution Network for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.1145/3581783.3612566openalex-snapshot

Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing

inferred← citeshttps://doi.org/10.1145/3627673.3679685openalex-snapshot

Hyperedge Importance Estimation via Identity-aware Hypergraph Attention Network

inferred← citeshttps://doi.org/10.1145/3701716.3717739openalex-snapshot

Evolving Skeletons: Motion Dynamics in Action Recognition

inferred← citeshttps://doi.org/10.1145/3746027.3755538openalex-snapshot

Kinematic Enhanced Hypergraph Convolutional Network for Skeleton-based Human Action Recognition with LLM Training Guides

inferred← citeshttps://doi.org/10.1145/3758871.3758888openalex-snapshot

Adaptive Hypergraph-Augmented Graph Convolution Network for Skeleton-based Action Recognition

inferred← citeshttps://doi.org/10.1145/3847665openalex-snapshot

Pose Magic++: Integrating Mamba and HyperGCN for Efficient and Temporally Consistent 3D Human Pose Estimation

inferred← citeshttps://doi.org/10.1155/2022/9158912openalex-snapshot

Spectrum of Superhypergraphs via Flows

inferred← citeshttps://doi.org/10.1186/s44147-026-01180-7openalex-snapshot

Personalized physical education teaching interventionmodel in colleges based on Spatiotemporal GraphConvolutional Network for 3D action recognition

inferred← citeshttps://doi.org/10.1371/journal.pone.0332066openalex-snapshot

Dual-branch differential channel hypergraph convolutional network for human skeleton based action recognition

inferred← citeshttps://doi.org/10.23919/date69613.2026.11539266openalex-snapshot

Grin: HyperGNN Training Framework for Efficient Edge Inference via Hypergraph Restructuring

inferred← citeshttps://doi.org/10.26599/tst.2024.9010095openalex-snapshot

Objective Class-Based Micro-Expression Recognition Through Simultaneous Action Unit Detection and Feature Aggregation

inferred← citeshttps://doi.org/10.31449/inf.v48i10.5919openalex-snapshot

The Application of Action Recognition Based on MPP-YOLOv3 Algorithm in Posture Correction

inferred← citeshttps://doi.org/10.3390/app14083526openalex-snapshot

Hypergraph Position Attention Convolution Networks for 3D Point Cloud Segmentation

inferred← citeshttps://doi.org/10.3390/app14093832openalex-snapshot

Exploring High-Order Skeleton Correlations with Physical and Non-Physical Connection for Action Recognition

inferred← citeshttps://doi.org/10.3390/app16041825openalex-snapshot

HSTNet:Violent Action Detection

inferred← citeshttps://doi.org/10.3390/electronics11040642openalex-snapshot

Wi-Fi-Based Location-Independent Human Activity Recognition with Attention Mechanism Enhanced Method

inferred← citeshttps://doi.org/10.3390/electronics11193051openalex-snapshot

An Efficient Motion Registration Method Based on Self-Coordination and Self-Referential Normalization

inferred← citeshttps://doi.org/10.3390/electronics14050882openalex-snapshot

Simulation of Human Behavior Recognition Based on WiFi Signal

inferred← citeshttps://doi.org/10.3390/math14142507openalex-snapshot

DASH-YOLO: A Dynamic Adaptive Sparse Hierarchical Network for Small Object Detection in Transmission Line Fittings

inferred← citeshttps://doi.org/10.3390/s22062091openalex-snapshot

Skeleton Graph-Neural-Network-Based Human Action Recognition: A Survey

inferred← citeshttps://doi.org/10.34133/cbsystems.0100openalex-snapshot

A Survey on 3D Skeleton-Based Action Recognition Using Learning Method

inferred← citeshttps://doi.org/10.36227/techrxiv.18318989openalex-snapshot

Skeleton-Based Action Recognition with Adaptive and Self-Attentive Graph Convolution Network

inferred← citeshttps://doi.org/10.36227/techrxiv.18318989.v1openalex-snapshot

Skeleton-Based Action Recognition with Adaptive and Self-Attentive Graph Convolution Network

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