We propose the Edge-to-Edge-Node-to-Node Graph Convolution (E2E-N2N-GCN), a novel dual-graph network that jointly models explicit N2N social interactions among pedestrians and implicit E2E influence ...

This leads to increased labor costs and produces suboptimal or even incorrect results. In this article, we propose an end-to-end method for fusing learnable node-level and edge-level augmentation in ...

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