2 citations · 3 across the 2 of their papers we have counts for
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cs.CV2023★ 1 cited
DiffAnt: Diffusion Models for Action Anticipation
Zeyun Zhong, Chengzhi Wu, Manuel Martin +3
Anticipating future actions is inherently uncertain. Given an observed video segment containing ongoing actions, multiple subsequent actions can plausibly follow. This uncertainty…
cs.CV2023★ 2 cited
A Survey on Deep Learning Techniques for Action Anticipation
Zeyun Zhong, Manuel Martin, Michael Voit +2
The ability to anticipate possible future human actions is essential for a wide range of applications, including autonomous driving and human-robot interaction. Consequently, numer…