SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 419 papers

TitleStatusHype
Leveraging Spatio-Temporal Dependency for Skeleton-Based Action RecognitionCode1
Hierarchical Contrast for Unsupervised Skeleton-based Action Representation LearningCode1
Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing AugmentationsCode1
Hypergraph Transformer for Skeleton-based Action RecognitionCode1
ViA: View-invariant Skeleton Action Representation Learning via Motion RetargetingCode1
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionCode1
Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionCode1
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action RecognitionCode1
Generative Action Description Prompts for Skeleton-based Action RecognitionCode1
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action RecognitionCode1
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action RecognitionCode1
Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action RecognitionCode1
Skeleton-based Action Recognition via Temporal-Channel AggregationCode1
MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D VideosCode1
A Spatio-Temporal Multilayer Perceptron for Gesture RecognitionCode1
Continual Spatio-Temporal Graph Convolutional NetworksCode1
Delving Deep into One-Shot Skeleton-based Action Recognition with Diverse OcclusionsCode1
Spatio-Temporal Tuples Transformer for Skeleton-Based Action RecognitionCode1
InfoGCN: Representation Learning for Human Skeleton-Based Action RecognitionCode1
Topology-aware Convolutional Neural Network for Efficient Skeleton-based Action RecognitionCode1
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action RecognitionCode1
Anonymization for Skeleton Action RecognitionCode1
Logsig-RNN: a novel network for robust and efficient skeleton-based action recognitionCode1
Sign Language Recognition via Skeleton-Aware Multi-Model EnsembleCode1
Fusion-GCN: Multimodal Action Recognition using Graph Convolutional NetworksCode1
Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional ConnectivityCode1
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action RecognitionCode1
Skeleton-Contrastive 3D Action Representation LearningCode1
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionCode1
UNIK: A Unified Framework for Real-world Skeleton-based Action RecognitionCode1
Constructing Stronger and Faster Baselines for Skeleton-based Action RecognitionCode1
VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily LivingCode1
Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action RecognitionCode1
Revisiting Skeleton-based Action RecognitionCode1
Skeleton Aware Multi-modal Sign Language RecognitionCode1
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial AttackCode1
NTU-X: An Enhanced Large-scale Dataset for Improving Pose-based Recognition of Subtle Human ActionsCode1
Tensor Representations for Action RecognitionCode1
Spatial Temporal Transformer Network for Skeleton-based Action RecognitionCode1
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action RecognitionCode1
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action RecognitionCode1
MS^2L: Multi-Task Self-Supervised Learning for Skeleton Based Action RecognitionCode1
Skeleton-based Action Recognition via Spatial and Temporal Transformer NetworksCode1
Graph Convolution with Low-rank Learnable Local FiltersCode1
Decoupling GCN with DropGraph Module for Skeleton-Based Action RecognitionCode1
Traffic Control Gesture Recognition for Autonomous VehiclesCode1
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action RecognitionCode1
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action RecognitionCode1
VPN: Learning Video-Pose Embedding for Activities of Daily LivingCode1
Quo Vadis, Skeleton Action Recognition ?Code1
Show:102550
← PrevPage 2 of 9Next →

No leaderboard results yet.