RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos

Recent studies demonstrate the effectiveness of Recurrent Neural Networks (RNNs) for action recognition in videos. However, previous works mainly utilize video-level category as supervision to train RNNs, which may prohibit RNNs to learn complex motion structures along time. In this paper, we propos...

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Bibliographic Details
Published inProceedings / IEEE International Conference on Computer Vision pp. 3745 - 3754
Main Authors Wenbin Du, Yali Wang, Yu Qiao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
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