Image-based action recognition using hint-enhanced deep neural networks-Reference-Cited by-同舟云学术

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Image-based action recognition using hint-enhanced deep neural networks

Published:2017-12 Issue: Volume:267 Page:475-488
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Qi Tangquan,Xu Yong,Quan Yuhui,Wang Yaodong,Ling Haibin

Funder

National Natural Science Foundation of China

Science and Technology Program of Guangzhou

South China University of Technology

Guangdong Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference35 articles.

1. Statistical computations on Grassmann and Stiefel manifolds for image and video-based recognition;Turaga;IEEE Trans. Softw. Eng.,2011

2. Detecting People Using Mutually Consistent Poselet Activations;Bourdev,2010

3. Spatio-temporal relationship match: video structure comparison for recognition of complex human activities;Ryoo,2009

4. Action recognition with actons;Zhu,2013

5. Modeling geometric-temporal context with directional pyramid co-occurrence for action recognition.;Yuan;IEEE Trans. Image Process.,2014

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