IEEE

Enhancing Skeleton-Based Action Recognition With Language Descriptions From Pre-Trained Large Multimodal Models

Abstract: Skeleton data has become popular in human action recognition because of its efficacy in capturing human motion patterns while mitigating the influence of environmental noise. However, ...
GitHub

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

PyTorch version should be 0.3! For PyTorch0.4 or higher, the codes need to be modified. Now we have updated the code to >=Pytorch0.4. A new model named AAGCN is added, which can achieve better ...
BBC

Skeleton

'Wild & shameful' - Ukrainian athlete on IOC decision. Video, 00:00:30'Wild & shameful' - Ukrainian athlete on IOC decision Olympic goldrush kick-starts interest in skeleton Team Bath gold medallists ...
IEEE

SelfGCN: Graph Convolution Network With Self-Attention for Skeleton-Based Action Recognition

Abstract: Graph Convolutional Networks (GCNs) are widely used for skeleton-based action recognition and achieved remarkable performance. Due to the locality of graph convolution, GCNs can only utilize ...