JiaqiShi / S-STGCN
Skeleton-Based Emotion Recognition Based on Two-Stream Self-Attention Enhanced Spatial-Temporal Graph Convolutional Network
☆12Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for S-STGCN
- A reimplementation of "Spatial-Temporal Graph Convolutional Networks for Action Recognition" (Yan et al., 2018) in PyTorch, developed for…☆11Updated 3 years ago
- Predictively Encoded Graph Convolutional Network☆16Updated 4 years ago
- skeleton-based action recognition☆18Updated 2 years ago
- Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition☆147Updated 5 years ago
- Read the skeleton files provided in NTU RGB skeleton dataset and draw the skeleton on the corresponding RGB video.☆20Updated 5 years ago
- This is the official implemntation for "Multi-scale spatial temporal graph convolutional network for skeleton-based action recognition" A…☆36Updated 2 years ago
- Skeleton-Based Action Recognition with Local Dynamic Spatial-Temporal Aggregation (Expert Systems with Applications 2023) (Previous name:…☆37Updated last year
- 3d skeleton visualization is used for NTU RGB+D dataset.☆15Updated 4 years ago
- ☆58Updated 4 years ago
- Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits☆70Updated last year
- ☆27Updated 2 years ago
- Compute action classification accuracy from skeleton joints using LSTM☆14Updated 4 years ago
- Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition☆55Updated 2 years ago
- ☆19Updated last year
- This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition."☆85Updated last year
- Official implementation for "InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition"☆119Updated 2 years ago
- Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition☆32Updated 3 years ago
- The implementation for "Extremely Lightweight Skeleton-Based Action Recognition with ShiftGCN++." (TIP 2021).☆21Updated 2 years ago
- The repository is the implementation of ICLR 2023 paper "Graph Contrastive Learning for Skeleton-based Action Recognition".☆47Updated 10 months ago
- ☆19Updated last year
- Skeleton-based action segmentation with multi-stage spatial-temporal graph convolutional neural networks (MS-GCN)☆33Updated 2 years ago
- Official implementation of MSR-GCN (ICCV2021 paper)☆66Updated last year
- Zero shot action recognition using spatial temporal graph convolutional networks☆17Updated 6 years ago
- The implementation for "Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition" (ECCV2020).☆101Updated 3 years ago
- Signal Level Deep Metric Learning for One-Shot Action Recognition☆21Updated 4 months ago
- [CVPR 2023] Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition☆35Updated last month
- Spatial Temporal Transformer Network for Skeleton-Based Activity Recognition☆300Updated last year
- Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.☆40Updated last year