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End-to-end learning interpolation for object tracking in low frame-rate video 期刊论文
IET Image Processing, 2020, 卷号: 14, 期号: 6, 页码: 1066-1072
作者:  Liu, Liqiang;  Cao, Jianzhong
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载：179/3  |  提交时间：2020/05/20
video signal processing  learning (artificial intelligence)  object tracking  interpolation  mobile computing  low frame rates  implicit video frame interpolation sub-network  object tracking  low frame-rate video  high frame-rate latent video  effective end-to-end optimisation  frame rate  tracking accuracy  semantic video analytics  end-to-end learning interpolation  subsequent semantic analytics  bandwidth constraints  analytics performance  
Collect and select: Semantic alignment metric learning for few-shot learning 会议论文
Proceedings - 2019 International Conference on Computer Vision, ICCV 2019, Seoul, Korea, Republic of, 2019-10-27
作者:  Hao, Fusheng;  He, Fengxiang;  Cheng, Jun;  Wang, Lei;  Cao, Jianzhong;  Tao, Dacheng
Adobe PDF(591Kb)  |  收藏  |  浏览/下载：439/0  |  提交时间：2020/04/09
Optimization of PID parameters based on improved particle-swarm-optimization 会议论文
, Guangzhou, China, 2013-12-07
作者:  Fan, Xinming;  Cao, Jianzhong;  Yang, Hongtao;  Dong, Xiaokun;  Liu, Chen;  Gong, Zhendong;  Wu, Qingquan
Adobe PDF(207Kb)  |  收藏  |  浏览/下载：289/1  |  提交时间：2015/03/31