EventsMOL2NET'16, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 2nd ed.
Event submissions
Published
with-doi10.3390/mol2net-02-03852
This submission belongs to the session 03. USEDAT-02: USA-Europe Data Analysis Training Program Workshop, Cambridge, UK-Bilbao, Spain-Miami, USA, 2016 of the event MOL2NET'16, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 2nd ed.
Published date
30 Dec, 2016
Citation
Rui Ge, Xiaoyi Wan, Yi Ji, Chunping Liu, Shengrong Gong, Fusing Augmented Spatio-temporal Features for Action Recognition, in Proceedings of MOL2NET'16, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 2nd ed., 15 October–20 October 2022, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-02-03852
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Fusing Augmented Spatio-temporal Features for Action Recognition

Rui Ge 1
Xiaoyi Wan 1
Yi Ji 1
Chunping Liu 1,2,3
Shengrong Gong 1,4
1. School of Computer Science and Technology, Soochow University
2. Collaborative Innovation Center of Novel Software Technology and Industrialization
3. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University
4. School of Computer Science and Engineering, Changshu Institute of Technology
Abstract
Keywords
action recognition
CNN features
fourier temporal pyramid
CCA fusion
Poster
paper.pdf
paper.pdf