%0 Journal Article %1 journals/tcsv/YinWZYLDLL21 %A Yin, Jianqin %A Wu, Yanchun %A Zhu, Chaoran %A Yin, Zijin %A Liu, Huaping %A Dang, Yonghao %A Liu, Zhiyi %A Liu, Jun %D 2021 %J IEEE Trans. Circuits Syst. Video Technol. %K dblp %N 12 %P 4812-4825 %T Energy-Based Periodicity Mining With Deep Features for Action Repetition Counting in Unconstrained Videos. %U http://dblp.uni-trier.de/db/journals/tcsv/tcsv31.html#YinWZYLDLL21 %V 31

@article{journals/tcsv/YinWZYLDLL21, added-at = {2021-12-25T00:00:00.000+0100}, author = {Yin, Jianqin and Wu, Yanchun and Zhu, Chaoran and Yin, Zijin and Liu, Huaping and Dang, Yonghao and Liu, Zhiyi and Liu, Jun}, biburl = {https://www.bibsonomy.org/bibtex/29641799dc1b3d6f17d2f0de3239d1e52/dblp}, ee = {https://doi.org/10.1109/TCSVT.2021.3055220}, interhash = {b65894dc1ef0ff7ffcb7d0f7a518f469}, intrahash = {9641799dc1b3d6f17d2f0de3239d1e52}, journal = {IEEE Trans. Circuits Syst. Video Technol.}, keywords = {dblp}, number = 12, pages = {4812-4825}, timestamp = {2024-04-08T19:06:41.000+0200}, title = {Energy-Based Periodicity Mining With Deep Features for Action Repetition Counting in Unconstrained Videos.}, url = {http://dblp.uni-trier.de/db/journals/tcsv/tcsv31.html#YinWZYLDLL21}, volume = 31, year = 2021 }