CASIA OpenIR
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Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-Scale Image Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 6, 页码: 1551-1562
Authors:  Xu, Jian;  Wang, Chunheng;  Qi, Chengzuo;  Shi, Cunzhao;  Xiao, Baihua
Favorite  |  View/Download:9/0  |  Submit date:2019/07/11
Iterative manifold embedding layer  image retrieval  incomplete data  
Unsupervised Semantic-Based Aggregation of Deep Convolutional Features 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 2, 页码: 601-611
Authors:  Xu, Jian;  Wang, Chunheng;  Qi, Chengzuo;  Shi, Cunzhao;  Xiao, Baihua
Favorite  |  View/Download:6/0  |  Submit date:2019/07/12
Unsupervised  semantic-based aggregation  semantic detectors  
A Selection Criterion for the Optimal Resolution of Ground-Based Remote Sensing Cloud Images for Cloud Classification 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 期号: 3, 页码: 1358-1367
Authors:  Wang Y(王钰);  Wang CH(王春恒);  Shi CZ(史存召);  Xiao BH(肖柏华)
View  |  Adobe PDF(4352Kb)  |  Favorite  |  View/Download:47/15  |  Submit date:2019/05/06
Cloud Image Classification  Local Binary Patterns  Resolution Selection  Kullback– Leibler (Kl) Divergence  
Integration of cloud top heights retrieved from FY-2 meteorological satellite, radiosonde, and ground-based millimeter wavelength cloud radar observations 期刊论文
ATMOSPHERIC RESEARCH, 2018, 卷号: 214, 页码: 284-295
Authors:  Wang, Yu;  Wang, Chunheng;  Shi, Cunzhao;  Xiao, Baihua
View  |  Adobe PDF(763Kb)  |  Favorite  |  View/Download:23/5  |  Submit date:2019/05/06
Cloud top height  Bayesian decision theory  Data integration  Satellite observation  Radiosonde observation  Radar observation  
CRF based text detection for natural scene images using convolutional neural network and context information 期刊论文
NEUROCOMPUTING, 2018, 卷号: 295, 页码: 46-58
Authors:  Wang, Yanna;  Shi, Cunzhao;  Xiao, Baihua;  Wang, Chunheng;  Qi, Chengzuo
Favorite  |  View/Download:44/0  |  Submit date:2018/10/10
Scene Text Detection  Mser  Cnn  Crf  Context Information  Shape-specific Classifiers  
Degraded document image binarization using structural symmetry of strokes 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 74, 期号: 2018, 页码: 225-240
Authors:  Jia, Fuxi;  Shi, Cunzhao;  He, Kun;  Wang, Chunheng;  Xiao, Baihua
View  |  Adobe PDF(4351Kb)  |  Favorite  |  View/Download:169/88  |  Submit date:2018/01/03
Document Image Binarization  Structural Symmetry Of Strokes  Local Threshold  Stroke Width Estimation  
Short-term Cloud Coverage Prediction Using the ARIMA Time Series Model 期刊论文
Remote Sensing Letters, 2018, 期号: 3, 页码: 275-284
Authors:  Wang Y(王钰);  Wang CH(王春恒);  Shi CZ(史存召);  Xiao BH(肖柏华)
View  |  Adobe PDF(1479Kb)  |  Favorite  |  View/Download:31/13  |  Submit date:2019/05/06
Cloud Coverage  Arima Time Series Model  
Fisher vector for scene character recognition: A comprehensive evaluation 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 72, 期号: 2017, 页码: 1-14
Authors:  Shi, Cunzhao;  Wang, Yanna;  Jia, Fuxi;  He, Kun;  Wang, Chunheng;  Xiao, Baihua
View  |  Adobe PDF(2285Kb)  |  Favorite  |  View/Download:108/37  |  Submit date:2018/01/02
Character Representation  Character Recognition  Fisher Vector (Fv)  Gaussian Mixture Models (Gmm)  Bag Of Visual Words (Bow)  
Multi-order co-occurrence activations encoded with Fisher Vector for scene character recognition 期刊论文
PATTERN RECOGNITION LETTERS, 2017, 卷号: 97, 期号: 2017, 页码: 69-76
Authors:  Wang, Yanna;  Shi, Cunzhao;  Wang, Chunheng;  Xiao, Baihua;  Qi, Chengzuo
View  |  Adobe PDF(1105Kb)  |  Favorite  |  View/Download:85/21  |  Submit date:2018/01/03
Scene Character Recognition  Multi-order Co-occurrence Activations  Fisher Vector  Cnn  
Deep Convolutional Activations-Based Features for Ground-Based Cloud Classification 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 6, 页码: 816-820
Authors:  Shi, Cunzhao;  Wang, Chunheng;  Wang, Yu;  Xiao, Baihua
View  |  Adobe PDF(755Kb)  |  Favorite  |  View/Download:125/53  |  Submit date:2017/07/18
Cloud Classification  Convolutional Activations  Convolutional Neural Network (Cnn)  Fine-tune  Max Pooling  Sum Pooling