shahroudy / NTURGB-D
Info and sample codes for "NTU RGB+D Action Recognition Dataset"
☆772Updated 2 years ago
Alternatives and similar repositories for NTURGB-D:
Users that are interested in NTURGB-D are comparing it to the libraries listed below
- Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19☆670Updated 3 years ago
- Skeleton-based Action Recognition☆679Updated last year
- [CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"☆435Updated 4 months ago
- The model architecture of AS-GCN (for human action recognition)☆294Updated 2 years ago
- [ICCV2021] Official code for "Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition"☆278Updated 3 years ago
- The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020 oral).☆270Updated last year
- Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch☆1,541Updated last year
- The paper list about skeleton-based action recognition.☆282Updated 5 years ago
- Unofficial PyTorch implementation of the CVPR'19 paper "Skeleton-Based Action Recognition with Directed Graph Neural Networks".☆240Updated 3 years ago
- A simple baseline for 3d human pose estimation in PyTorch.☆371Updated 5 years ago
- Skeleton-based Action Recognition Papers and Small Notes and Top 2 Leaderboard for NTU-RGBD☆151Updated 4 years ago
- The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).☆469Updated 3 years ago
- Real-time pose estimation and action recognition☆409Updated 5 years ago
- Spatial Temporal Transformer Network for Skeleton-Based Activity Recognition☆305Updated 2 years ago
- Deep human action recognition and pose estimation☆401Updated 3 months ago
- This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”.☆191Updated 4 years ago
- A toolbox for skeleton-based action recognition.☆1,018Updated 10 months ago
- PyTorch implementation of Two-stream CNN for 3D action recognition☆151Updated 4 years ago
- Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models☆477Updated 3 years ago
- CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark, CVPR 2019, Oral☆314Updated last year
- View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition☆130Updated last year
- A pytorch reproduction of { Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Agg…☆220Updated 2 years ago
- Source code for "Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching", AAAI2020☆151Updated 4 years ago
- A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.☆2,960Updated 2 years ago
- The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".☆509Updated last year
- PyTorch implementation for 3D human pose estimation☆613Updated last year
- A lightweight network for body/hand action recognition☆269Updated 4 years ago
- Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition☆152Updated 5 years ago
- The implementation for "Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition" (ECCV2020).☆103Updated 3 years ago
- Human 3.6M 3D human pose dataset fetcher☆369Updated last year