On the public citation graph

Three-Stream Convolutional Neural Network With Multi-Task and Ensemble Learning for 3D Action Recognition

https://doi.org/10.1109/cvprw.2019.00123

0 signed · 95 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-01240-3_9openalex-snapshot

Adding Attentiveness to the Neurons in Recurrent Neural Networks

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/10.1016/j.patcog.2015.11.019openalex-snapshot

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

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.2015.7298714openalex-snapshot

Hierarchical recurrent neural network for skeleton based 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.2017.387openalex-snapshot

Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks

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/iccv.2017.115openalex-snapshot

Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM 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/icmew.2017.8026281openalex-snapshot

End-to-end learning of deep convolutional neural network for 3D human action 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/icmew.2017.8026286openalex-snapshot

Investigation of different skeleton features for CNN-based 3D action recognition

inferredcites →https://doi.org/10.1109/icmew.2017.8026287openalex-snapshot

Skeleton-based action recognition using LSTM and CNN

inferredcites →https://doi.org/10.1109/lsp.2017.2678539openalex-snapshot

Joint Distance Maps Based Action Recognition With Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/lsp.2018.2841649openalex-snapshot

Ensemble One-Dimensional Convolution Neural Networks for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/tip.2017.2785279openalex-snapshot

Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks

inferredcites →https://doi.org/10.1145/2964284.2967191openalex-snapshot

Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks

inferredcites →https://doi.org/10.1609/aaai.v30i1.10451openalex-snapshot

Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM 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

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4646561openalex-extracted

Harnessing Time: A Skeleton Temporal Fusion Graph Convolutional Network for Action Recognition

inferred← citeshttps://doi.org/10.1007/978-3-031-20062-5_42openalex-snapshot

CMD: Self-supervised 3D Action Representation Learning with Cross-Modal Mutual Distillation

inferred← citeshttps://doi.org/10.1007/978-3-031-22025-8_1openalex-snapshot

On Multi-stream Classification of Two Person Interactions in Video with Skeleton-Based Features

inferred← citeshttps://doi.org/10.1007/978-3-031-99844-7_1openalex-snapshot

A New Feature Extraction Algorithm for Skeleton-Based Human Action Recognition

inferred← citeshttps://doi.org/10.1007/978-981-99-0301-6_19openalex-snapshot

Cross-View Nearest Neighbor Contrastive Learning of Human Skeleton Representation

inferred← citeshttps://doi.org/10.1007/s00521-022-07584-9openalex-snapshot

Unsupervised skeleton-based action representation learning via relation consistency pursuit

inferred← citeshttps://doi.org/10.1007/s00530-025-01762-0openalex-snapshot

A three-stream fusion network for 3D skeleton-based action recognition

inferred← citeshttps://doi.org/10.1007/s00530-025-02162-0openalex-snapshot

Second-order hierarchical graph convolution network for skeleton-based action recognition

inferred← citeshttps://doi.org/10.1007/s10044-025-01478-xopenalex-snapshot

Enhancing part-based gait recognition via ensemble learning and feature fusion

inferred← citeshttps://doi.org/10.1007/s11042-022-13921-wopenalex-snapshot

Deep learning-based for human segmentation and tracking, 3D human pose estimation and action recognition on monocular video of MADS dataset

inferred← citeshttps://doi.org/10.1007/s11042-023-15334-9openalex-snapshot

Skeleton-based human action recognition by fusing attention based three-stream convolutional neural network and SVM

inferred← citeshttps://doi.org/10.1007/s11263-025-02415-5openalex-snapshot

$$\hbox {I}^2$$MD: 3D Action Representation Learning with Inter- and Intra-Modal Mutual Distillation

inferred← citeshttps://doi.org/10.1007/s12652-020-01882-7openalex-snapshot

A new ensemble learning method based on learning automata

inferred← citeshttps://doi.org/10.1007/s13042-021-01441-2openalex-snapshot

Hybrid two-stream dynamic CNN for view adaptive human action recognition using ensemble learning

inferred← citeshttps://doi.org/10.1007/s40998-024-00718-wopenalex-snapshot

An Enhanced Ensemble Learning Method for Sentiment Analysis based on Q-learning

inferred← citeshttps://doi.org/10.1016/j.aej.2024.11.025openalex-snapshot

The research on dance motion quality evaluation based on spatiotemporal convolutional neural networks

inferred← citeshttps://doi.org/10.1016/j.aeue.2026.156423openalex-snapshot

Robust neural network-aided detection for multi-dimensional index modulated M-ary chaos system in complex fading channels

inferred← citeshttps://doi.org/10.1016/j.cviu.2023.103722openalex-snapshot

Action Capsules: Human skeleton action recognition

inferred← citeshttps://doi.org/10.1016/j.cviu.2024.104229openalex-snapshot

Multi-Scale Adaptive Skeleton Transformer for action recognition

inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108937openalex-snapshot

Semi-supervised human action recognition via dual-stream cross-fusion and class-aware memory bank

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129821openalex-snapshot

Multi-temporal ensemble for few-shot action recognition

inferred← citeshttps://doi.org/10.1016/j.jmsy.2022.11.009openalex-snapshot

Toward fast 3D human activity recognition: A refined feature based on minimum joint freedom model (Mint)

inferred← citeshttps://doi.org/10.1016/j.knosys.2022.108146openalex-snapshot

Graph transformer network with temporal kernel attention for skeleton-based action recognition

inferred← citeshttps://doi.org/10.1038/s41598-024-84901-3openalex-snapshot

An effective vessel segmentation method using SLOA-HGC

inferred← citeshttps://doi.org/10.1038/s41598-026-48314-8openalex-snapshot

Automatic generation of labanotation based on a hybrid transformer–LSTM network with multi-scale spatio-temporal features

inferred← citeshttps://doi.org/10.1049/cit2.12014openalex-snapshot

Deep learning‐based action recognition with 3D skeleton: A survey

inferred← citeshttps://doi.org/10.1109/access.2022.3214812openalex-snapshot

Pose-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.1109/access.2023.3309420openalex-snapshot

Distinct Motion-Preserving Graph Convolutional Network for Two-Person Interaction Recognition

inferred← citeshttps://doi.org/10.1109/cbd63341.2023.00032openalex-snapshot

Lightweight Multi-Scale Spatiotemporal Graph Convolutional Network for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00471openalex-snapshot

3D Human Action Representation Learning via Cross-View Consistency Pursuit

inferred← citeshttps://doi.org/10.1109/healthcom49281.2021.9399007openalex-snapshot

Multi-Level Co-Occurrence Graph Convolutional LSTM for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.1109/icarcv57592.2022.10004329openalex-snapshot

Feature engineering techniques for skeleton-based two-person interaction classification in video

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00934openalex-snapshot

Masked Motion Predictors are Strong 3D Action Representation Learners

inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412776openalex-snapshot

Single View Learning in Action Recognition

inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9413189openalex-snapshot

Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatio-Temporal Graph Convolutional Network for Action Recognition

inferred← citeshttps://doi.org/10.1109/icus52573.2021.9641232openalex-snapshot

Modality Representation Learning for Geometry Feature of Skeleton Based Human Action

inferred← citeshttps://doi.org/10.1109/itc-cscc62988.2024.10628131openalex-snapshot

Temporal Receptive Field Graph Convolutional Network for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.1109/jiot.2020.3042986openalex-snapshot

Attention-Based Multilevel Co-Occurrence Graph Convolutional LSTM for 3-D Action Recognition

inferred← citeshttps://doi.org/10.1109/jiot.2024.3450929openalex-snapshot

Unsupervised Domain Adaptation for Skeleton Recognition With Fourier Analysis

inferred← citeshttps://doi.org/10.1109/tai.2023.3329799openalex-snapshot

Temporal Refinement Graph Convolutional Network for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.1109/tcsvt.2021.3100128openalex-snapshot

A Cross View Learning Approach for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3248782openalex-snapshot

Focusing Fine-Grained Action by Self-Attention-Enhanced Graph Neural Networks With Contrastive Learning

inferred← citeshttps://doi.org/10.1109/tfuzz.2025.3563636openalex-snapshot

Misclassification-Error-Inspired Ensemble of Interpretable First-Order TSK Fuzzy Subclassifiers: A Novel Multiview Learning Perspective

inferred← citeshttps://doi.org/10.1109/tip.2021.3106799openalex-snapshot

L3DOC: Lifelong 3D Object Classification

inferred← citeshttps://doi.org/10.1109/tip.2023.3338410openalex-snapshot

DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2021.3129616openalex-snapshot

Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2023.3307933openalex-snapshot

Learning Representations by Contrastive Spatio-Temporal Clustering for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.1109/tmm.2024.3428330openalex-snapshot

Hierarchical Aggregated Graph Neural Network for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.1117/1.jei.32.1.013011openalex-snapshot

Feature difference and feature correlation learning mechanism for skeleton-based action recognition

inferred← citeshttps://doi.org/10.1117/12.2641472openalex-snapshot

Human action recognition based on attention mechanism and two-stream non-local graph convolution

inferred← citeshttps://doi.org/10.1142/s021819402550041xopenalex-snapshot

APT: A Simple Adapter for Reusing RGB Video Transformers in Compressed Video Action Recognition

inferred← citeshttps://doi.org/10.1145/3412841.3441981openalex-snapshot

Adversarial feature refinement for cross-view action recognition

inferred← citeshttps://doi.org/10.1145/3436369.3436470openalex-snapshot

Generalized Graph Convolutional Networks for Action Recognition with Occluded Skeletons

inferred← citeshttps://doi.org/10.1145/3450410openalex-snapshot

Dual-Stream Structured Graph Convolution Network for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.1145/3633624.3633635openalex-snapshot

Integrating Dual-Stream Cross Fusion and Ambiguous Exclude Contrastive Learning for Enhanced Human Action Recognition

inferred← citeshttps://doi.org/10.1145/3703187.3703294openalex-snapshot

Human skeleton action recognition based on feature-enhanced spatiotemporal graph convolutional network

inferred← citeshttps://doi.org/10.11834/jig.230046openalex-snapshot

A review of skeleton-based human action recognition

inferred← citeshttps://doi.org/10.12680/balneo.2025.766openalex-snapshot

A New Approach for Quantification of Finger Angles with Applica-tions in Rehabilitation and Medical Assessment

inferred← citeshttps://doi.org/10.14313/jamris/3-2023/18openalex-snapshot

Skeleton-based Human Activity Classification in Sparse Image Sequences

inferred← citeshttps://doi.org/10.15439/2022f195openalex-snapshot

A lightweight approach to two-person interaction classification in sparse image sequences

inferred← citeshttps://doi.org/10.24963/ijcai.2023/95openalex-snapshot

Part Aware Contrastive Learning for Self-Supervised Action Recognition

inferred← citeshttps://doi.org/10.26599/bdma.2024.9020095openalex-snapshot

Lightweight Multiscale Spatio-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.31577/cai_2025_2_408openalex-snapshot

Lightweight Dual-Stream Human Behavior Inference Network Based on Multi-Layer Perceptron

inferred← citeshttps://doi.org/10.3389/fcomp.2023.1203901openalex-snapshot

SKELTER: unsupervised skeleton action denoising and recognition using transformers

inferred← citeshttps://doi.org/10.3390/app12031402openalex-snapshot

Multi-Scale Adaptive Aggregate Graph Convolutional Network for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.3390/app14020514openalex-snapshot

Action Detection for Wildlife Monitoring with Camera Traps Based on Segmentation with Filtering of Tracklets (SWIFT) and Mask-Guided Action Recognition (MAROON)

inferred← citeshttps://doi.org/10.3390/electronics11142145openalex-snapshot

Light-Weight Classification of Human Actions in Video with Skeleton-Based Features

inferred← citeshttps://doi.org/10.3390/electronics12214466openalex-snapshot

Non-Uniform Motion Aggregation with Graph Convolutional Networks for Skeleton-Based Human Action Recognition

inferred← citeshttps://doi.org/10.3390/s20247149openalex-snapshot

Whole and Part Adaptive Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.3390/s21144758openalex-snapshot

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

inferred← citeshttps://doi.org/10.3390/s23115121openalex-snapshot

Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study

inferred← citeshttps://doi.org/10.3390/s23146279openalex-snapshot

Human Interaction Classification in Sliding Video Windows Using Skeleton Data Tracking and Feature Extraction

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

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

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.