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Skeleton Based Action Recognition

Skeleton-based Action Recognition is a computer vision task that involves recognizing human actions from a sequence of 3D skeletal joint data captured from sensors such as Microsoft Kinect, Intel RealSense, and wearable devices. The goal of skeleton-based action recognition is to develop algorithms that can understand and classify human actions from skeleton data, which can be used in various applications such as human-computer interaction, sports analysis, and surveillance.

( Image credit: View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition )

Papers

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Showing 351–375 of 419 papers

TitleStatusHype
Spatial-Temporal Decoupling Contrastive Learning for Skeleton-based Human Action RecognitionCode0
Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognitionCode0
Expressive Keypoints for Skeleton-based Action Recognition via Skeleton TransformationCode0
Multigrid Predictive Filter Flow for Unsupervised Learning on VideosCode0
Part-based Graph Convolutional Network for Action RecognitionCode0
Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM NetworksCode0
Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action RecognitionCode0
View Adaptive Neural Networks for High Performance Skeleton-based Human Action RecognitionCode0
Pose And Joint-Aware Action RecognitionCode0
Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-SupervisionCode0
Do You Act Like You Talk? Exploring Pose-based Driver Action Classification with Speech Recognition NetworksCode0
Tracking Emerges by Colorizing VideosCode0
Balanced Representation Learning for Long-tailed Skeleton-based Action RecognitionCode0
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture SearchCode0
Memory Attention Networks for Skeleton-based Action RecognitionCode0
Mask and Compress: Efficient Skeleton-based Action Recognition in Continual LearningCode0
LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action RecognitionCode0
Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action RecognitionCode0
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton DataCode0
Local Spherical Harmonics Improve Skeleton-Based Hand Action RecognitionCode0
Pyramid Self-attention Polymerization Learning for Semi-supervised Skeleton-based Action RecognitionCode0
UCF101: A Dataset of 101 Human Actions Classes From Videos in The WildCode0
Domain and View-point Agnostic Hand Action RecognitionCode0
Learning Skeletal Graph Neural Networks for Hard 3D Pose EstimationCode0
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural SearchingCode0
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