FesianXu / SkeletonGCNLinks
Skeleton Graph Convolution Network is based on the Deep Graph Library and inspired by ST-GCN network designing.
☆16Updated 6 years ago
Alternatives and similar repositories for SkeletonGCN
Users that are interested in SkeletonGCN are comparing it to the libraries listed below
Sorting:
- Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition☆156Updated 6 years ago
- A reimplementation of "Spatial-Temporal Graph Convolutional Networks for Action Recognition" (Yan et al., 2018) in PyTorch, developed for…☆11Updated 4 years ago
- Skeleton-Based Emotion Recognition Based on Two-Stream Self-Attention Enhanced Spatial-Temporal Graph Convolutional Network☆12Updated 4 years ago
- Unofficial Tensorflow implementation of the AAAI'18 paper "Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recogn…☆68Updated 5 years ago
- skeleton-based action recognition☆19Updated 3 years ago
- Skeleton-based action segmentation with multi-stage spatial-temporal graph convolutional neural networks (MS-GCN)☆36Updated 2 years ago
- The implementation for "Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition" (ECCV2020).☆102Updated 4 years ago
- Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19☆688Updated 3 years ago
- View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition☆130Updated 2 years ago
- The model architecture of AS-GCN (for human action recognition)☆297Updated 3 years ago
- PyTorch implementation of Two-stream CNN for 3D action recognition☆154Updated 4 years ago
- The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020 oral).☆277Updated last year
- NTU RGB+D Dataset Action Recognition with GNNs and CNNs☆28Updated 3 years ago
- Skeleton-Based Action Recognition with Local Dynamic Spatial-Temporal Aggregation (Expert Systems with Applications 2023) (Previous name:…☆39Updated last year
- This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”.☆197Updated 5 years ago
- Spatial Temporal Transformer Network for Skeleton-Based Activity Recognition☆315Updated 2 years ago
- Source code for "Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching", AAAI2020☆152Updated 5 years ago
- The implementation for "Extremely Lightweight Skeleton-Based Action Recognition with ShiftGCN++." (TIP 2021).☆22Updated 3 years ago
- ST-GCN-5-25☆8Updated 6 years ago
- Unofficial PyTorch implementation of the CVPR'19 paper "Skeleton-Based Action Recognition with Directed Graph Neural Networks".☆241Updated 4 years ago
- Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.☆43Updated 2 years ago
- ☆20Updated 3 years ago
- Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits☆76Updated 2 years ago
- Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition☆32Updated 4 years ago
- 改进的st-GCN代码☆24Updated 4 years ago
- [CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"☆449Updated 10 months ago
- ☆63Updated 4 years ago
- ☆17Updated 4 years ago
- ST-GCN-5-25☆33Updated 6 years ago
- ☆19Updated 5 years ago