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CASIA OpenIR
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Weakly Semantic Guided Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2504-2517
作者:  Yu, Tingzhao;  Wang, Lingfeng;  Da, Cheng;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(18774Kb)  |  收藏  |  浏览/下载：433/112  |  提交时间：2019/05/15
Semantic guided module  action recognition  cross domain  3D convolution  attention model  
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
Adobe PDF(1379Kb)  |  收藏  |  浏览/下载：478/163  |  提交时间：2017/09/15
Convolutional neural network  image quality assessment  perceptual image quality  object oriented pooling  vector regression  
Aggregating Rich Hierarchical Features for Scene Classification in Remote Sensing Imagery 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 卷号: 10, 期号: 9, 页码: 4104-4115
作者:  Wang, Guoli;  Fan, Bin;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(878Kb)  |  收藏  |  浏览/下载：519/217  |  提交时间：2017/05/09
Convolutional Neural Networks (Cnns)  Mixed-resolution Representation  Remote Sensing Scene Classification  Vector Of Locally Aggregated Descriptors (Vlad)  
Feature Extraction by Rotation-Invariant Matrix Representation for Object Detection in Aerial Image 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 6, 页码: 851-855
作者:  Wang, Guoli;  Wang, Xinchao;  Fan, Bin;  Pan, Chunhong
Adobe PDF(1324Kb)  |  收藏  |  浏览/下载：416/172  |  提交时间：2017/05/09
Feature Extraction  Fisher Vector  Object Detection  Ring Pyramid Pooling (Rpp)  Rotation-invariant Matrix (Rim)  
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
Adobe PDF(4195Kb)  |  收藏  |  浏览/下载：414/156  |  提交时间：2017/05/09
Rotation Invariant  Ordinal Pyramid Pooling  Fisher Vector  Feature Extraction  
Efficient Multiple Feature Fusion With Hashing for Hyperspectral Imagery Classification: A Comparative Study 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 卷号: 54, 期号: 8, 页码: 4461-4478
作者:  Zhong, Zisha;  Fan, Bin;  Ding, Kun;  Li, Haichang;  Xiang, Shiming;  Pan, Chunhong;  zszhong@nlpr.ia.ac.cn
浏览  |  Adobe PDF(4943Kb)  |  收藏  |  浏览/下载：429/125  |  提交时间：2016/12/26
Binary Codes  Classification  Feature Fusion  Hashing  Hyperspectral Images  
Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning 期刊论文
Scientific World Journal, 2015, 期号: 2014, 页码: 1-15
作者:  Xu Y(徐元);  Ding Kun;  Huo Chunlei;  Zhong Zisha;  Li Haichang;  Pan Chunhong;  Xu Yuan
Adobe PDF(16412Kb)  |  收藏  |  浏览/下载：237/30  |  提交时间：2016/06/23
Change Detection  
Manifold Regularized Local Sparse Representation for Face Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2015, 卷号: 25, 期号: 4, 页码: 651-659
作者:  Wang, Lingfeng;  Wu, Huaiyu;  Pan, Chunhong
浏览  |  Adobe PDF(2100Kb)  |  收藏  |  浏览/下载：316/88  |  提交时间：2015/09/21
Face Recognition  Manifold Regularization  Sparse Representation  
Discriminant Tensor Spectral-Spatial Feature Extraction for Hyperspectral Image Classification 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 卷号: 12, 期号: 5, 页码: 1028-1032
作者:  Zhong, Zisha;  Fan, Bin;  Duan, Jiangyong;  Wang, Lingfeng;  Ding, Kun;  Xiang, Shiming;  Pan, Chunhong;  zszhong@nlpr.ia.ac.cn
Adobe PDF(789Kb)  |  收藏  |  浏览/下载：444/130  |  提交时间：2015/09/21
Discriminative Tensor Representation  Hyperspectral Classification  Spectral-spatial Feature Extraction  
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2012, 卷号: 23, 期号: 11, 页码: 1738-1754
作者:  Xiang, Shiming;  Nie, Feiping;  Meng, Gaofeng;  Pan, Chunhong;  Zhang, Changshui
Adobe PDF(725Kb)  |  收藏  |  浏览/下载：675/217  |  提交时间：2015/09/18
Feature Selection  Least Squares Regression  Multiclass Classification  Sparse Learning