Make Skeleton-based Action Recognition Model Smaller, Faster and Better-Reference-Cited by-同舟云学术

Make Skeleton-based Action Recognition Model Smaller, Faster and Better

Published:2019-12-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Multimedia Asia
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Author:

Yang Fan¹,Wu Yang²,Sakti Sakriani¹,Nakamura Satoshi¹

Affiliation:

1. Nara Institute of Science and Technology, Japan, RIKEN, Center for Advanced Intelligence Project, Japan

2. Kyoto University, Japan

Funder

Japan Society for the Promotion of Science

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3338533.3366569

Reference39 articles.

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3. Yao-Jen Chang Shu-Fang Chen and Jun-Da Huang. 2011. A Kinect-based system for physical rehabilitation: A pilot study for young adults with motor disabilities. Research in developmental disabilities 32 6 (2011) 2566--2570. Yao-Jen Chang Shu-Fang Chen and Jun-Da Huang. 2011. A Kinect-based system for physical rehabilitation: A pilot study for young adults with motor disabilities. Research in developmental disabilities 32 6 (2011) 2566--2570.

4. Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor

5. MFA-Net: Motion Feature Augmented Network for Dynamic Hand Gesture Recognition from Skeletal Data

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