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Disentangled Representation Learning for Cross-modal Biometric Matching 期刊论文
IEEE Transactions on Multimedia, 2022, 卷号: 24, 页码: 1763-1774
作者:  Ning, Hailong;  Zheng, Xiangtao;  Lu, Xiaoqiang;  Yuan, Yuan
Adobe PDF(6109Kb)  |  收藏  |  浏览/下载：158/1  |  提交时间：2021/05/07
Cross-modal biometric matching  Disentangled representation learning  Latent identity factors  Modalitydependent factors  
Local and correlation attention learning for subtle facial expression recognition 期刊论文
Neurocomputing, 2021, 卷号: 453, 页码: 742-753
作者:  Wang, Shaocong;  Yuan, Yuan;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(2425Kb)  |  收藏  |  浏览/下载：174/0  |  提交时间：2020/10/30
Facial expression recognition  Feature extraction  Neural network  Attention mechanism  
Bio-Inspired Representation Learning for Visual Attention Prediction 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 7, 页码: 3562-3575
作者:  Yuan, Yuan;  Ning, Hailong;  Lu, Xiaoqiang
Adobe PDF(2877Kb)  |  收藏  |  浏览/下载：155/0  |  提交时间：2021/07/12
Bio-inspired  center-bias prior  contrast features  densely connected  reduction-attention  semantic features  visual attention prediction (VAP)  
Audio description from image by modal translation network 期刊论文
Neurocomputing, 2021, 卷号: 423, 页码: 124-134
作者:  Ning, Hailong;  Zheng, Xiangtao;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(1507Kb)  |  收藏  |  浏览/下载：167/0  |  提交时间：2020/11/30
Image-to-audio-description  Modal translation  Heterogeneous gap  
Attribute-Cooperated Convolutional Neural Network for Remote Sensing Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8358-8371
作者:  Zhang, Yuanlin;  Zheng, Xiangtao;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(5153Kb)  |  收藏  |  浏览/下载：158/0  |  提交时间：2020/12/21
Feature extraction  Task analysis  Convolutional neural networks  Remote sensing  Visualization  Semantics  Manuals  Attribute learning  convolutional neural networks (CNNs)  relationship learning  remote sensing image (RSI) classification  
Gated and Axis-Concentrated Localization Network for Remote Sensing Object Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 1, 页码: 179-192
作者:  Lu, Xiaoqiang;  Zhang, Yuanlin;  Yuan, Yuan;  Feng, Yachuang
Adobe PDF(6944Kb)  |  收藏  |  浏览/下载：232/1  |  提交时间：2020/04/14
Object detection  Feature extraction  Remote sensing  Deep learning  Detectors  Logic gates  Semantics  Deep learning  gated axis-concentrated localization network (GACL Net)  localization  remote sensing  small object detection  
Robust Space-Frequency Joint Representation for Remote Sensing Image Scene Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 10, 页码: 7492-7502
作者:  Fang, Jie;  Yuan, Yuan;  Lu, Xiaoqiang;  Feng, Yachuang
Adobe PDF(5771Kb)  |  收藏  |  浏览/下载：222/1  |  提交时间：2019/11/01
Frequency domain  joint representation  remote sensing image classification  robust  space domain  
Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 8, 页码: 5535-5548
作者:  Zhang, Yuanlin;  Yuan, Yuan;  Feng, Yachuang;  Lu, Xiaoqiang
Adobe PDF(11192Kb)  |  收藏  |  浏览/下载：347/3  |  提交时间：2019/08/13
Convolutional neural networks (CNNs)  hierarchical robust CNN (HRCNN)  hierarchical spatial semantic (HSS)  object detection  remote sensing images (RSIs)  rotation and scaling robust enhancement (RSRE)  
Remote Sensing Image Scene Classification Using Rearranged Local Features 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 3, 页码: 1779–1792
作者:  Yuan, Yuan;  Fang, Jie;  Lu, Xiaoqiang;  Feng, Yachuang
Adobe PDF(7201Kb)  |  收藏  |  浏览/下载：233/1  |  提交时间：2019/04/09
Feature fusion  rearranged local features  remote sensing image  representation scene classification  
Scene Recognition by Manifold Regularized Deep Learning Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 10, 页码: 2222-2233
作者:  Yuan, Y;  Mou, LC;  Lu, XQ
Adobe PDF(4686Kb)  |  收藏  |  浏览/下载：231/1  |  提交时间：2015/11/20