Spatiotemporal distilled dense-connectivity network for video action recognition-Reference-Cited by-同舟云学术

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Spatiotemporal distilled dense-connectivity network for video action recognition

Published:2019-08 Issue: Volume:92 Page:13-24
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Hao Wangli,Zhang Zhaoxiang

Funder

National Key R&D Program of China

Beijing Municipal Natural Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference63 articles.

1. On space-time interest points;Laptev;Int. J. Comput. Vis.,2005

2. Action recognition with improved trajectories;Wang,2013

3. Motionlets: Mid-level 3d parts for human motion recognition;Wang,2013

4. Mofap: a multi-level representation for action recognition;Wang;Int. J. Comput. Vis.,2016

5. An evaluation of bags-of-words and spatio-temporal shapes for action recognition;Campos,2011

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