60 citations · 63 across the 3 of their papers we have counts for
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cs.CV2018★ 2 cited
AutoLoc: Weakly-supervised Temporal Action Localization
Zheng Shou, Hang Gao, Lei Zhang +2
Temporal Action Localization (TAL) in untrimmed video is important for many applications. But it is very expensive to annotate the segment-level ground truth (action class and temp…
cs.CV2018★ 1 cited
Online Detection of Action Start in Untrimmed, Streaming Videos
Zheng Shou, Junting Pan, Jonathan Chan +5
We aim to tackle a novel task in action detection - Online Detection of Action Start (ODAS) in untrimmed, streaming videos. The goal of ODAS is to detect the start of an action ins…
cs.CV2017★ 60 cited
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
Zheng Shou, Jonathan Chan, Alireza Zareian +2
Temporal action localization is an important yet challenging problem. Given a long, untrimmed video consisting of multiple action instances and complex background contents, we need…