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Human Action Recognition of Spatiotemporal Parameters for Skeleton Sequences Using MTLN Feature Learning Framework

https://doi.org/10.3390/electronics10212708

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What this work says

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

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Multitask Learning

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CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples

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Real-Time RGB-D Activity Prediction by Soft Regression

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Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

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Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition

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Human Interaction Prediction Using Deep Temporal Features

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Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification

inferredcites →https://doi.org/10.1007/978-3-642-24797-2openalex-snapshot

Supervised Sequence Labelling with Recurrent Neural Networks

inferredcites →https://doi.org/10.1016/j.cviu.2017.01.011openalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.jvcir.2013.03.001openalex-snapshot

Effective 3D action recognition using EigenJoints

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.2020.107511openalex-snapshot

Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network

inferredcites →https://doi.org/10.1016/j.procs.2020.06.110openalex-snapshot

Skeleton Based Abnormal Behavior Recognition Using Spatio-Temporal Convolution and Attention-Based LSTM

inferredcites →https://doi.org/10.1109/access.2020.2992740openalex-snapshot

Global Spatio-Temporal Attention for Action Recognition Based on 3D Human Skeleton Data

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Multi-column deep neural networks for image classification

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Is Rotation a Nuisance in Shape 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.2015.7298878openalex-snapshot

Long-term recurrent convolutional networks for visual recognition and description

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Beyond short snippets: Deep networks for video classification

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Jointly learning heterogeneous features for RGB-D activity recognition

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Modeling video evolution for action recognition

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NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

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Convolutional Two-Stream Network Fusion for Video Action Recognition

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Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields

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

inferredcites →https://doi.org/10.1109/cvpr.2017.391openalex-snapshot

Global Context-Aware Attention LSTM Networks for 3D 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.2017.55openalex-snapshot

Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/cvprw.2010.5543273openalex-snapshot

Action recognition based on a bag of 3D points

inferredcites →https://doi.org/10.1109/cvprw.2012.6239234openalex-snapshot

Two-person interaction detection using body-pose features and multiple instance learning

inferredcites →https://doi.org/10.1109/cvprw.2014.131openalex-snapshot

CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

inferredcites →https://doi.org/10.1109/icassp.2013.6638947openalex-snapshot

Speech recognition with deep recurrent neural networks

inferredcites →https://doi.org/10.1109/icassp.2015.7178838openalex-snapshot

Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks

inferredcites →https://doi.org/10.1109/iccv.2015.460openalex-snapshot

Differential Recurrent Neural Networks for Action Recognition

inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot

Learning Spatiotemporal Features with 3D Convolutional Networks

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.2017.138openalex-snapshot

An Empirical Study of Language CNN for Image Captioning

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.2017.256openalex-snapshot

RMPE: Regional Multi-person Pose Estimation

inferredcites →https://doi.org/10.1109/icpr.2018.8546012openalex-snapshot

Action Recognition with Visual Attention on Skeleton Images

inferredcites →https://doi.org/10.1109/iros.2004.1389447openalex-snapshot

Dynamic robot programming by FDNet - design of FDNet programming environment

inferredcites →https://doi.org/10.1109/lsp.2017.2690339openalex-snapshot

SkeletonNet: Mining Deep Part Features for 3-D Action Recognition

inferredcites →https://doi.org/10.1109/tcsvt.2019.2914137openalex-snapshot

Action Recognition Scheme Based on Skeleton Representation With DS-LSTM Network

inferredcites →https://doi.org/10.1109/tip.2013.2295753openalex-snapshot

Latent Hierarchical Model of Temporal Structure for Complex Activity Classification

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

Action-Attending Graphic Neural Network

inferredcites →https://doi.org/10.1109/tip.2018.2818328openalex-snapshot

Spatio-Temporal Attention-Based LSTM Networks for 3D Action Recognition and Detection

inferredcites →https://doi.org/10.1109/tpami.2013.198openalex-snapshot

Learning Actionlet Ensemble for 3D Human Action Recognition

inferredcites →https://doi.org/10.1109/tpami.2013.65openalex-snapshot

Temporal Localization of Actions with Actoms

inferredcites →https://doi.org/10.1109/tpami.2017.2771306openalex-snapshot

Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates

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/10.1145/2964284.2967191openalex-snapshot

Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep 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/10.1609/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.v33i01.33018762openalex-snapshot

Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos

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.1411.1792openalex-snapshot

How transferable are features in deep neural networks?

inferredcites →https://doi.org/10.5555/303568.303704openalex-snapshot

Convolutional networks for images, speech, and time series

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s00500-023-08008-zopenalex-snapshot

RETRACTED ARTICLE: Automatically human action recognition (HAR) with view variation from skeleton means of adaptive transformer network

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STO-CVAE: state transition-oriented conditional variational autoencoder for data augmentation in disability classification

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The Impact of Blockchain Technology for Evaluation of Electronic Medical Certification

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Artificial intelligence in judicial adjudication: Semantic biasness classification and identification in legal judgement (SBCILJ)

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A Novel Approach for Skeleton-based Human Action Recognition: EMC-AAGCN

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Extended Multi-Stream Adaptive Graph Convolutional Networks (EMS-AAGCN) for Skeleton-Based Human Action Recognition

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Improving Arabic Text Sentiment Analysis using Aspect-based

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Meta and Multi-Task Learning: An Overview for Action Recognition

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Human action recognition based on skeleton features

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Seq2seq model for human action recognition based on skeleton and two-layer bidirectional LSTM

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DeBERTa-GRU: Sentiment Analysis for Large Language Model

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Multitasking Learning Model Based on Hierarchical Attention Network for Arabic Sentiment Analysis Classification

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Advanced Sensing Techniques for Intelligent Human Activity Recognition Using Machine Learning

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