Search Results for author:
Found 4 papers, 2 papers with code
AutoLoc: Weakly-supervised Temporal Action Localization
In this paper, we first develop a novel weakly-supervised TAL framework called AutoLoc to directly predict the temporal boundary of each action instance.
Weakly-supervised Temporal Action Localization
Weakly Supervised Temporal Action Localization
Online Detection of Action Start in Untrimmed, Streaming Videos
We aim to tackle a novel task in action detection - Online Detection of Action Start (ODAS) in untrimmed, streaming videos.
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
Temporal action localization is an important yet challenging problem.
Ranked #27 on
Temporal Action Localization
on THUMOS’14
(mAP IOU@0.6 metric)
AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos
In this paper, we first develop a novel weakly-supervised TAL framework called AutoLoc to directly predict the temporal boundary of each action instance.
Ranked #16 on
Weakly Supervised Action Localization
on ActivityNet-1.2
(mAP@0.5 metric)
Weakly Supervised Action Localization
Weakly-supervised Temporal Action Localization
+1
