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Energy-based Periodicity Mining with Deep Features for Action Repetition
  Counting in Unconstrained Videos

Energy-based Periodicity Mining with Deep Features for Action Repetition Counting in Unconstrained Videos

15 March 2020
Jianqin Yin
Yanchun Wu
Huaping Liu
Yonghao Dang
Zhiyi Liu
Jun Liu
ArXivPDFHTML

Papers citing "Energy-based Periodicity Mining with Deep Features for Action Repetition Counting in Unconstrained Videos"

2 / 2 papers shown
Title
GMFL-Net: A Global Multi-geometric Feature Learning Network for
  Repetitive Action Counting
GMFL-Net: A Global Multi-geometric Feature Learning Network for Repetitive Action Counting
Jun Li
Jinying Wu
Qiming Li
Feifei Guo
52
0
0
31 Aug 2024
IVAC-P2L: Leveraging Irregular Repetition Priors for Improving Video
  Action Counting
IVAC-P2L: Leveraging Irregular Repetition Priors for Improving Video Action Counting
Hang Wang
Zhi-Qi Cheng
Youtian Du
Lei Zhang
38
1
0
18 Mar 2024
1