Multi-modality learning for human action recognition-Reference-Cited by-同舟云学术

Multi-modality learning for human action recognition

Published:2020-03-02 Issue:11 Volume:80 Page:16185-16203
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Ren Ziliang,Zhang Qieshi,Gao Xiangyang,Hao Pengyi,Cheng Jun^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-019-08576-z.pdf

Reference42 articles.

1. Asadi-Aghbolaghi M, Kasaei S (2018) Supervised spatio-temporal kernel descriptor for human action recognition from RGB-depth videos. Multimed Tools Appl 77(11):14115–14135

2. Baradel F, Wolf C, Mille J (2018) Human activity recognition with pose-driven attention to RGB. In: British machine vision conference (BMVC), pp 1–14

3. Bilen H, Fernando B, Gavves E, Vedaldi A, Gould S (2016) Dynamic image networks for action recognition. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 3034–3042

4. Deng J, Dong W, Socher R, Li L, Li K, Li F (2009) Imagenet: a large-scale hierarchical image database. In: IEEE Conference on computer vision and pattern recognition (CVPR), pp 248–255

5. Donahue J, Hendricks LA, Rohrbach M, Venugopalan S, Guadarrama S, Saenko K, Darrell T (2017) Long-term recurrent convolutional networks for visual recognition and description. IEEE Trans Pattern Anal Mach Intell (TPAMI) 39 (4):677–691

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