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Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456
作者:  Ai-Hua Zheng;  Zi-Han Chen;  Cheng-Long Li;  Jin Tang;  Bin Luo
Adobe PDF(1832Kb)  |  收藏  |  浏览/下载：244/48  |  提交时间：2021/05/24
Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning  
Deep Audio-Visual Learning: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 351-376
作者:  Hao Zhu;  Man-Di Luo;  Rui Wang;  Ai-Hua Zheng;  Ran He
Adobe PDF(1864Kb)  |  收藏  |  浏览/下载：187/34  |  提交时间：2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
A Comprehensive Review on Group Activity Recognition in Videos 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 334-350
作者:  Li-Fang Wu;  Qi Wang;  Meng Jian;  Yu Qiao;  Bo-Xuan Zhao
Adobe PDF(1415Kb)  |  收藏  |  浏览/下载：258/61  |  提交时间：2021/05/24
Group activity recognition (GAR)  human activity recognition  scene understanding  video analysis  computer vision  
Camera-based Basketball Scoring Detection Using Convolutional Neural Network 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 266-276
作者:  Xu-Bo Fu
Adobe PDF(4945Kb)  |  收藏  |  浏览/下载：150/49  |  提交时间：2021/04/22
Computer vision  convolutional neural network (CCN)  frame difference  motion detection  object detection  real-time system  
Structured Computational Modeling of Human Visual System for No-reference Image Quality Assessment 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 204-218
作者:  Wen-Han Zhu
Adobe PDF(1343Kb)  |  收藏  |  浏览/下载：154/53  |  提交时间：2021/04/22
Image quality assessment (IQA)  no-reference (NR)  structural computational modeling  human visual system  visual feature extraction  
Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 期号: 17, 页码: 1
作者:  Wang, Weining;  Li, Qi;  Wang, Liang
浏览  |  Adobe PDF(9045Kb)  |  收藏  |  浏览/下载：171/50  |  提交时间：2020/09/03
Object tracking, information theoretic measures, correntropy, template update, robust to complex noises  
Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 652-666
作者:  Wei-Ning Wang;  Qi Li;  Liang Wang
Adobe PDF(1855Kb)  |  收藏  |  浏览/下载：139/13  |  提交时间：2021/02/22
Object tracking  information theoretic measures  correntropy  template update  robust to complex noises.