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 251–300 of 419 papers

TitleStatusHype
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition—0
PoTion: Pose MoTion Representation for Action Recognition—0
Proving the Potential of Skeleton Based Action Recognition to Automate the Analysis of Manual Processes—0
PYSKL: a toolbox for skeleton-based video understanding—0
PYSKL: Towards Good Practices for Skeleton Action Recognition—0
Recognizing Human Actions as the Evolution of Pose Estimation Maps—0
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition—0
Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data—0
SAR-NAS: Skeleton-based Action Recognition via Neural Architecture Searching—0
What and Where: Modeling Skeletons from Semantic and Spatial Perspectives for Action Recognition—0
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition—0
Self-attention based anchor proposal for skeleton-based action recognition—0
Self-Attention Network for Skeleton-based Human Action Recognition—0
Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization—0
Self-Supervised 3D Skeleton Action Representation Learning With Motion Consistency and Continuity—0
Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition—0
Skeletal quads: Human action recognition using joint quadruples—0
Skeleton-based action analysis for ADHD diagnosis—0
Skeleton-based Action Recognition of People Handling Objects—0
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks—0
Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates—0
10,000+ Times Accelerated Robust Subset Selection (ARSS)—0
Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information—0
Skeleton-based Action Recognition Using LSTM and CNN—0
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention—0
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning—0
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN)—0
Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks—0
Skeleton-Based Online Action Prediction Using Scale Selection Network—0
Relational Network for Skeleton-Based Action Recognition—0
SkeletonMAE: Spatial-Temporal Masked Autoencoders for Self-supervised Skeleton Action Recognition—0
Skeletonnet: Mining deep part features for 3-d action recognition—0
SkeleTR: Towards Skeleton-based Action Recognition in the Wild—0
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild—0
Sparse Semi-Supervised Action Recognition with Active Learning—0
Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition—0
Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition—0
Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition—0
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semi-Supervised Skeleton-based Action Recognition—0
Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition—0
SpatioTemporal Focus for Skeleton-based Action Recognition—0
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition—0
Spatiotemporal graph routing for skeleton-based action recognition—0
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition—0
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation—0
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection—0
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction—0
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition—0
Temporal Extension Module for Skeleton-Based Action Recognition—0
Temporal Graph Modeling for Skeleton-based Action Recognition—0
Show:102550
← PrevPage 6 of 9Next →

No leaderboard results yet.