Hybrid Directed Hypergraph Learning and Forecasting of Skeleton-Based Human Poses
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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... ...
