Learning attentive dynamic maps (ADMs) for Understanding Human Actions

Author:

Li ChuankunORCID,Hou Yonghong,Li WanqingORCID,Wang Pichao

Funder

National Natural Science Foundation of China

Tianjin Science & Technology Pillar Program

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference68 articles.

1. Two-stream convolutional networks for action recognition in videos;Simonyan,2014

2. Spatiotemporal multiplier networks for video action recognition;Feichtenhofer,2017

3. Learning spatiotemporal features with 3d convolutional networks;Tran,2015

4. Convolutional lstm network: a machine learning approach for precipitation nowcasting;Xingjian,2015

5. Dynamic image networks for action recognition;Bilen,2016

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