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Nonlinear Asymmetric Multi-Valued Hashing 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 11, 页码: 2660-2676
Authors:  Da, Cheng;  Meng, Gaofeng;  Xiang, Shiming;  Ding, Kun;  Xu, Shibiao;  Yang, Qing;  Pan, Chunhong
View  |  Adobe PDF(2583Kb)  |  Favorite  |  View/Download:141/33  |  Submit date:2018/10/07
Asymmetric hashing  multi-valued embeddings  binary sparse representation  nonlinear transformation  
Weakly Semantic Guided Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2504-2517
Authors:  Yu, Tingzhao;  Wang, Lingfeng;  Da, Cheng;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
View  |  Adobe PDF(18774Kb)  |  Favorite  |  View/Download:67/18  |  Submit date:2019/05/15
Semantic guided module  action recognition  cross domain  3D convolution  attention model  
Blind image quality assessment via learnable attention-based pooling 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 91, 页码: 332-344
Authors:  Gu, Jie;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
View  |  Adobe PDF(3081Kb)  |  Favorite  |  View/Download:163/71  |  Submit date:2019/05/15
Image quality assessment  Perceptual image quality  Visual attention  Convolutional neural network  Learnable pooling  
Semantic labeling in very high resolution images via a self-cascaded convolutional neural network 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 卷号: 145, 期号: 1, 页码: 78-95
Authors:  Liu, Yongcheng;  Fan, Bin;  Wang, Lingfeng;  Bai, Jun;  Xiang, Shiming;  Pan, Chunhong
View  |  Adobe PDF(1679Kb)  |  Favorite  |  View/Download:36/1  |  Submit date:2019/01/08
Semantic labeling  Convolutional neural networks (CNNs)  Multi-scale contexts  End-to-end  
Self-Paced AutoEncoder 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2018, 卷号: 25, 期号: 7, 页码: 1054-1058
Authors:  Yu, Tingzhao;  Guo, Chaoxu;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
View  |  Adobe PDF(14078Kb)  |  Favorite  |  View/Download:43/8  |  Submit date:2019/05/06
Autoencoder (AE)  self-paced learning (SPL)  temporal encoding (TE)  video analysis