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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 101–150 of 419 papers

TitleStatusHype
B2C-AFM: Bi-Directional Co-Temporal and Cross-Spatial Attention Fusion Model for Human Action RecognitionCode1
Navigating Open Set Scenarios for Skeleton-based Action RecognitionCode1
NTU-X: An Enhanced Large-scale Dataset for Improving Pose-based Recognition of Subtle Human ActionsCode1
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology AwarenessCode1
Continual Spatio-Temporal Graph Convolutional NetworksCode1
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action RecognitionCode1
Part Aware Contrastive Learning for Self-Supervised Action RecognitionCode1
PointNet: Deep Learning on Point Sets for 3D Classification and SegmentationCode1
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action RecognitionCode1
Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing AugmentationsCode1
Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action RecognitionCode1
Delving Deep into One-Shot Skeleton-based Action Recognition with Diverse OcclusionsCode1
Skeleton-Based Action Recognition With Shift Graph Convolutional NetworkCode1
Subspace Clustering for Action Recognition with Covariance Representations and Temporal PruningCode1
A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton ModalitiesCode1
Quo Vadis, Skeleton Action Recognition ?Code1
Quo Vadis, Action Recognition? A New Model and the Kinetics DatasetCode1
SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational AutoencodersCode1
VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily LivingCode1
BST: Badminton Stroke-type Transformer for Skeleton-based Action Recognition in Racket SportsCode1
Skeleton-OOD: An End-to-End Skeleton-Based Model for Robust Out-of-Distribution Human Action DetectionCode0
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and DetectionCode0
Relational Autoencoder for Feature ExtractionCode0
ADG-Pose: Automated Dataset Generation for Real-World Human Pose EstimationCode0
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video SurveillanceCode0
Richly Activated Graph Convolutional Network for Action Recognition with Incomplete SkeletonsCode0
Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action RecognitionCode0
PYSKL: Towards Good Practices for Skeleton Action RecognitionCode0
Pyramid Self-attention Polymerization Learning for Semi-supervised Skeleton-based Action RecognitionCode0
PYSKL: a toolbox for skeleton-based video understandingCode0
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep NetworksCode0
Finding Action TubesCode0
Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action RecognitionCode0
Richly Activated Graph Convolutional Network for Robust Skeleton-based Action RecognitionCode0
Expressive Keypoints for Skeleton-based Action Recognition via Skeleton TransformationCode0
Part-based Graph Convolutional Network for Action RecognitionCode0
Bayesian Hierarchical Dynamic Model for Human Action RecognitionCode0
Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM NetworksCode0
On Geometric Features for Skeleton-Based Action Recognition using Multilayer LSTM NetworksCode0
NTU RGB+D: A Large Scale Dataset for 3D Human Activity AnalysisCode0
Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-SupervisionCode0
Balanced Representation Learning for Long-tailed Skeleton-based Action RecognitionCode0
Pose And Joint-Aware Action RecognitionCode0
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture SearchCode0
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action RecognitionCode0
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
Attack-Augmentation Mixing-Contrastive Skeletal Representation LearningCode0
Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognitionCode0
Do You Act Like You Talk? Exploring Pose-based Driver Action Classification with Speech Recognition NetworksCode0
Non-Local Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
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