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arXiv · 2204.09875

Persistent-Transient Duality in Human Behavior Modeling

Hung Tran·Vuong Le·Svetha Venkatesh·Truyen Tran
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Abstract

We propose to model the persistent-transient duality in human behavior using a parent-child multi-channel neural network, which features a parent persistent channel that manages the global dynamics and children transient channels that are initiated and terminated on-demand to handle detailed interactive actions. The short-lived transient sessions are managed by a proposed Transient Switch. The neural framework is trained to discover the structure of the duality automatically. Our model shows superior performances in human-object interaction motion prediction.

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Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran. 2022-04-21. Persistent-Transient Duality in Human Behavior Modeling. https://arxiv.org/abs/2204.09875

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