Graph-based High-order Relation Modeling for Long-term Action Recognition
Author:
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9577055/9577056/09578047.pdf?arnumber=9578047
Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention;Proceedings of the 2024 Symposium on Eye Tracking Research and Applications;2024-06-04
2. Multiscale knowledge distillation with attention based fusion for robust human activity recognition;Scientific Reports;2024-05-30
3. SEMA: Semantic Attention for Capturing Long-Range Dependencies in Egocentric Lifelogs;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
4. Human Action Recognition Systems: A Review of the Trends and State-of-the-Art;IEEE Access;2024
5. Are current long-term video understanding datasets long-term?;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02
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