A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning. - Jingjia Huang; Nannan Li 001; Tao Zhang 069; Ge Li 002 (CoRR, 2017)

SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning. - Jingjia Huang; Nannan Li 001; Tao Zhang 069; Ge Li 002; Tiejun Huang 001; Wen Gao 001 (AAAI, 2018)

An Active Action Proposal Method Based on Reinforcement Learning. - Tao Zhang 069; Nannan Li 001; Jingjia Huang; Jia-Xing Zhong; Ge Li 002 (ICIP, 2018)

Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. - Jia-Xing Zhong; Nannan Li 001; Weijie Kong; Tao Zhang 069; Thomas H. Li; Ge Li 002 (ACM Multimedia, 2018)

Boundary Information Matters More: Accurate Temporal Action Detection with Temporal Boundary Network. - Tao Zhang 069; Shan Liu 001; Thomas H. Li; Ge Li 002 (ICASSP, 2019)

ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. - Zhangheng Li; Jia-Xing Zhong; Jingjia Huang; Tao Zhang 069; Thomas H. Li; Ge Li 002 (IJCAI, 2019)

Regression Before Classification for Temporal Action Detection. - Cece Jin; Tao Zhang 069; Weijie Kong; Thomas H. Li; Ge Li 002 (ICASSP, 2020)

Low Pass Filter for Anti-aliasing in Temporal Action Localization. - Cece Jin; Yuanqi Chen; Ge Li 002; Tao Zhang 069; Thomas H. Li (CoRR, 2021)