Search Results for author: Zeyun Zhong

Found 3 papers, 1 papers with code

DiffAnt: Diffusion Models for Action Anticipation

no code implementations27 Nov 2023 Zeyun Zhong, Chengzhi Wu, Manuel Martin, Michael Voit, Juergen Gall, Jürgen Beyerer

However, the majority of existing action anticipation models adhere to a deterministic approach, neglecting to account for future uncertainties.

Action Anticipation

A Survey on Deep Learning Techniques for Action Anticipation

no code implementations29 Sep 2023 Zeyun Zhong, Manuel Martin, Michael Voit, Juergen Gall, Jürgen Beyerer

The ability to anticipate possible future human actions is essential for a wide range of applications, including autonomous driving and human-robot interaction.

Action Anticipation Autonomous Driving

Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation

1 code implementation23 Oct 2022 Zeyun Zhong, David Schneider, Michael Voit, Rainer Stiefelhagen, Jürgen Beyerer

Although human action anticipation is a task which is inherently multi-modal, state-of-the-art methods on well known action anticipation datasets leverage this data by applying ensemble methods and averaging scores of unimodal anticipation networks.

Action Anticipation

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