no code implementations • 27 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.
no code implementations • 29 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.
1 code implementation • 23 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.
Ranked #3 on Action Anticipation on EPIC-KITCHENS-100