VideoLSTM Convolves, Attends and Flows for Action Recognition

Zhenyang Li, Efstratios Gavves, Mihir Jain +1

We present a new architecture for end-to-end sequence learning of actions in video, we call VideoLSTM. Rather than adapting the video to the peculiarities of established recurrent…