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ORCIDYongqiang Kong
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2020 – today
- 2023
[j6]Yongqiang Kong
, Yunhong Wang, Annan Li, Qiuyu Huang:
Self-Sufficient Feature Enhancing Networks for Video Salient Object Detection. IEEE Trans. Multim. 25: 557-571 (2023)- 2022
- [j5]Yongqiang Kong, Yunhong Wang, Annan Li:
Spatiotemporal Saliency Representation Learning for Video Action Recognition. IEEE Trans. Multim. 24: 1515-1528 (2022) - 2020
- [j4]Yuhai Cui, Yongqiang Kong, Rui Xia:
Modelling and experimental study on hierarchical throttling water distributor. Int. J. Model. Identif. Control. 36(2): 126-135 (2020) - [j3]Yuhai Cui, Rui Xia, Yongqiang Kong:
Modelling and structure optimisation on throttle tube of pre-throttle water distributor. Int. J. Model. Identif. Control. 36(3): 248-255 (2020)
2010 – 2019
- 2019
- [j2]Yongqiang Kong, Jianhui Huang, Shanshan Huang, Zhengang Wei, Shengke Wang:
Learning spatiotemporal representations for human fall detection in surveillance video. J. Vis. Commun. Image Represent. 59: 215-230 (2019) - 2018
- [j1]Yongqiang Kong, Zhengang Wei, Shanshan Huang:
Automatic analysis of complex athlete techniques in broadcast taekwondo video. Multim. Tools Appl. 77(11): 13643-13660 (2018) - [c2]Yongqiang Kong, Jianhui Huang, Shanshan Huang, Zhengang Wei, Shengke Wang:
Dynamic Representation Learning for Video Action Recognition Using Temporal Residual Networks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 331-337 - 2017
- [c1]Yongqiang Kong, Zhaoqiang Wei, Zhengang Wei, Shengke Wang, Feng Gao:
Exploiting Sub-region Deep Features for Specific Action Recognition in Combat Sports Video. PCM (2) 2017: 192-201
Coauthor Index
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