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Vision-Based Occlusion Handling and Vehicle Classification for Traffic Surveillance Systems 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2018, 卷号: 10, 期号: 2, 页码: 80-92
作者:  Chang, Jianlong;  Wang, Lingfeng;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(789Kb)  |  收藏  |  浏览/下载：434/161  |  提交时间：2018/01/16
Visual Occlusion  Recursive Segmentation  Vehicle Classification  Deep Convolutional Neural Network  
Blind Image Quality Assessment via Vector Regression and Object Oriented Pooling 期刊论文
IEEE Transactions on Multimedia, 2018, 卷号: 20, 期号: 5, 页码: 1140-1153
作者:  Jie, Gu;  Gaofeng, Meng;  Judith A., Redi;  Shiming, Xiang;  Chunhong, Pan
浏览  |  Adobe PDF(1379Kb)  |  收藏  |  浏览/下载：467/162  |  提交时间：2017/09/15
Convolutional neural network  image quality assessment  perceptual image quality  object oriented pooling  vector regression  
Ordinal pyramid coding for rotation invariant feature extraction 期刊论文
NEUROCOMPUTING, 2017, 卷号: 242, 期号: 242, 页码: 150-160
作者:  Wang, Guoli;  Fan, Bin;  Zhou, Zhili;  Pan, Chunhong
浏览  |  Adobe PDF(4195Kb)  |  收藏  |  浏览/下载：400/155  |  提交时间：2017/05/09
Rotation Invariant  Ordinal Pyramid Pooling  Fisher Vector  Feature Extraction  
Learning Relationship for Very High Resolution Image Change Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 卷号: 9, 期号: 8, 页码: 3384-3394
作者:  Huo, Chunlei;  Chen, Keming;  Ding, Kun;  Zhou, Zhixin;  Pan, Chunhong
Adobe PDF(969Kb)  |  收藏  |  浏览/下载：437/166  |  提交时间：2017/02/14
Change Detection  Distance Tuning  Interclass Couple  Intraclass Couple  Relationship Learning  Target Neighborhood  
Cross-Modal Retrieval via Deep and Bidirectional Representation Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 7, 页码: 1363-1377
作者:  He, Yonghao;  Xiang, Shiming;  Kang, Cuicui;  Wang, Jian;  Pan, Chunhong;  Xiang,Shiming
浏览  |  Adobe PDF(11388Kb)  |  收藏  |  浏览/下载：472/128  |  提交时间：2016/06/22
Bidirectional Modeling  Convolutional Neural Network  Cross-modal Retrieval  Representation Learning  Word Embedding