Hybrid Directed Hypergraph Learning and Forecasting of Skeleton-Based Human Poses
Forecasting 3-dimensional skeleton-based human poses from the historical sequence is a classic task, which shows enormous potential in robotics, computer vision, and graphics. Currently, the state-of-the-art methods resort to graph convolutional networks (GCNs) to access the relationships of human j...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2024-01-01
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| Series: | Cyborg and Bionic Systems |
| Online Access: | https://spj.science.org/doi/10.34133/cbsystems.0093 |