Visual-semantic graph neural network with pose-position attentive learning for group activity recognition
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference50 articles.
1. Coherence constrained graph lstm for group activity recognition;Tang;IEEE Transactions on Pattern Analysis and Machine Intelligence,2019
2. Fast collective activity recognition under weak supervision;Zhang;IEEE Transactions on Image Processing,2020
3. Dynamic video mix-up for cross-domain action recognition;Wu;Neurocomputing,2022
4. Integrating vertex and edge features with graph convolutional networks for skeleton-based action recognition;Liu;Neurocomputing,2021
5. Spatial-temporal pooling for action recognition in videos;Wang;Neurocomputing,2021
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