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 |