tailin1009 / DualHead-NetworkLinks
The implementation for "Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition"(ACM Multimedia 2021)
☆24Updated 2 years ago
Alternatives and similar repositories for DualHead-Network
Users that are interested in DualHead-Network are comparing it to the libraries listed below
Sorting:
- Sourcecode for the TNNLS 2022 paper: Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition☆32Updated 2 years ago
- ☆44Updated 2 years ago
- ☆61Updated 4 years ago
- Official codebase for "Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks"☆26Updated 2 years ago
- Predictively Encoded Graph Convolutional Network☆16Updated 5 years ago
- [BMVC 2021 Oral] Official implementation of our paper "A Unified Framework for Real-world Skeleton-based Action Recognition" on Toyota Sm…☆51Updated 2 years ago
- Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition☆57Updated 3 years ago
- Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition☆32Updated 4 years ago
- NTU-X, which is an extended version of popular NTU dataset☆82Updated 2 years ago
- The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021☆71Updated 4 years ago
- Code for "TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potent…☆34Updated last year
- The Official PyTorch implementation of "Learning Multi-View Interactional Skeleton Graph for Action Recognition" in TPAMI 2020☆24Updated 4 years ago
- Signal Level Deep Metric Learning for One-Shot Action Recognition☆22Updated 10 months ago
- ☆42Updated 4 years ago
- ☆19Updated last year
- Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.☆42Updated 2 years ago
- ☆19Updated 3 years ago
- ☆12Updated 3 years ago
- This is an official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Actio…☆65Updated 3 years ago
- The Pytorch implementation for "GraFormer: Graph Convolution Transformer for 3D Pose Estimation" https://arxiv.org/pdf/2109.08364.pdf☆52Updated 3 years ago
- ☆15Updated 2 years ago
- Code for the paper "Generative Adversarial Graph Convolutional Networks for Human Action Synthesis", WACV 2022☆74Updated 2 years ago
- This is the official implementation of the paper "MotionMixer: MLP-based 3D Human Body Pose Forecasting" (IJCAI 2022, oral-presentation).☆51Updated 2 years ago
- The source codes of 'Skeleton-parted graph scattering networks for 3D human motion prediction'. ECCV 2022☆29Updated 2 years ago
- Code for skeleton image representations based on spatial structure of the skeleton joints (AVSS 2019 and SIBGRAPI 2019).☆45Updated 5 years ago
- ☆20Updated 3 years ago
- Official PyTorch code for the ICIP 2021 paper 'Syntactically Guided Generative Embeddings For Zero Shot Skeleton Action Recognition'☆29Updated 2 years ago
- The implementation for "Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition" (ECCV2020).☆104Updated 3 years ago
- ☆24Updated 3 years ago
- [ACMMM 2023] Skeleton-MixFormer: Multivariate Topology Representation for Skeleton-based Action Recognition☆22Updated last year