A lightweight MLP-based architecture with cross-level interaction and hip-distance embedding reports state-of-the-art multi-person motion prediction errors with 1-10 percent of transformer baseline parameters.
Discrete cosine transform
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Efficient Multi-Person Motion Prediction by Lightweight Spatial and Temporal Interactions
A lightweight MLP-based architecture with cross-level interaction and hip-distance embedding reports state-of-the-art multi-person motion prediction errors with 1-10 percent of transformer baseline parameters.