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Fast Noninvasive Morphometric Characterization of Free Human Sperms Using Deep Learning 期刊论文
MICROSCOPY AND MICROANALYSIS, 2022, 页码: 13
作者:  Liu, Guole;  Shi, Hao;  Zhang, Huan;  Zhou, Yating;  Sun, Yujiao;  Li, Wei;  Huang, Xuefeng;  Jiang, Yuqiang;  Fang, Yaliang;  Yang, Ge
收藏  |  浏览/下载：242/0  |  提交时间：2022/07/25
bright-field microscopy  deep learning  human sperm  intracytoplasmic sperm injection  sperm morphology  
Visual Vehicle Tracking Based on Conditional Random Fields 会议论文
2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), Qingdao, China, Oct 08-11, 2014
作者:  Liu, Yuqiang;  Wang, Kunfeng(王坤峰);  Wang, Fei-Yue
浏览  |  Adobe PDF(1097Kb)  |  收藏  |  浏览/下载：411/123  |  提交时间：2016/04/06
Vehicle Tracking  Conditional Random Fields  Region-level Tracking  
Visual Tracking Based on Dynamic Coupled Conditional Random Field Model 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 3, 页码: 822-833
作者:  Liu, Yuqiang;  Wang, Kunfeng;  Shen, Dayong;  Wang, Kunfeng(王坤峰)
浏览  |  Adobe PDF(1757Kb)  |  收藏  |  浏览/下载：395/126  |  提交时间：2016/04/06
Coupled Conditional Random Field  Dynamic Models  Visual Tracking  Region-level Tracking  Spatiotemporal Context  
A Multi-view Learning Approach to Foreground Detection for Traffic Surveillance Applications 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 卷号: 65, 期号: 6, 页码: 4144-4158
作者:  Wang, Kunfeng;  Liu, Yuqiang;  Gou, Chao;  Wang, Fei-Yue;  Wang, Kunfeng(王坤峰)
浏览  |  Adobe PDF(1153Kb)  |  收藏  |  浏览/下载：421/115  |  提交时间：2016/04/06
Conditional Independence  Foreground Detection  Heterogeneous Features  Markov Random Field (Mrf)  Multi-view Learning  
Hierarchical and Networked Vehicle Surveillance in ITS: A Survey 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 1, 页码: 25-48
作者:  Tian, Bin;  Morris, Brendan Tran;  Tang, Ming;  Liu, Yuqiang;  Yao, Yanjie;  Gou, Chao;  Shen, Dayong;  Tang, Shaohu;  Bin Tian
浏览  |  Adobe PDF(1143Kb)  |  收藏  |  浏览/下载：548/163  |  提交时间：2015/09/22
Behavior Understanding  Computer Vision  Networked Surveillance System  Traffic Surveillance  Vehicle Detection  Vehicle Tracking