CASIA OpenIR

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Cross-modality interactive attention network for multispectral pedestrian detection 期刊论文
INFORMATION FUSION, 2019, 卷号: 50, 页码: 20-29
Authors:  Zhang, Lu;  Liu, Zhiyong;  Zhang, Shifeng;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir
Favorite  |  View/Download:25/0  |  Submit date:2019/07/11
Pedestrian detection  Modality fusion  Cross-modality attention  Deep neural networks  
Caging a novel object using multi-task learning method 期刊论文
NEUROCOMPUTING, 2019, 卷号: 351, 页码: 146-155
Authors:  Su, Jianhua;  Chen, Bin;  Qiao, Hong;  Liu, Zhi-yong
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Multi-task learning  Grasping  Kernel regression  
Analysis and design method of a combined radial-axial magnetic bearing based on asymmetric factor 期刊论文
IET ELECTRIC POWER APPLICATIONS, 2019, 卷号: 13, 期号: 5, 页码: 686-693
Authors:  Ren, Xiaojun;  Sung, Jinji;  Peng, Cong;  Qiao, Hong
Favorite  |  View/Download:8/0  |  Submit date:2019/07/11
magnetic bearings  magnetic circuits  magnetic flux  magnetic fields  axial bias magnetic flux  separate MBs  constraint relation  radial bias flux  radial bearing capacity  axial maximum bearing capacity  design method  radial-axial MB  CRAMB  asymmetric factor  axial magnetic flux  weak magnetic field  asymmetry factor  combined radial-axial magnetic bearing  common bias magnetic circuit  radial bias magnetic flux  CRAMB design method  saturation region  
Realizing human-like manipulation with a musculoskeletal system and biologically inspired control scheme 期刊论文
NEUROCOMPUTING, 2019, 卷号: 339, 页码: 116-129
Authors:  Chen, Jiahao;  Zhong, Shanlin;  Kang, Erlong;  Qiao, Hong
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Human-like manipulation  Musculoskeletal system  Biologically inspired  Muscle synergy  Attractive region in environment  
Un-supervised and semi-supervised hand segmentation in egocentric images with noisy label learning 期刊论文
NEUROCOMPUTING, 2019, 卷号: 334, 页码: 11-24
Authors:  Li, Yinlin;  Jia, Lihao;  Wang, Zidong;  Qian, Yang;  Qiao, Hong
Favorite  |  View/Download:16/0  |  Submit date:2019/07/12
Hand segmentation  Un-supervised  Semi-supervised  Deep convolutional neural network  Noisy label  
Enhanced biologically inspired model for image recognition based on a novel patch selection method with moment 期刊论文
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2019, 卷号: 17, 期号: 2, 页码: 16
Authors:  Lu, Yanfeng;  Jia, Lihao;  Qiao, Hong;  Li, Yi;  Qi, Zongshuai
Favorite  |  View/Download:23/0  |  Submit date:2019/04/23
Image recognition  classification  BIM  oriented Gaussian-Hermite moment  Gabor features  patch selection  
Rough extreme learning machine: A new classification method based on uncertainty measure 期刊论文
NEUROCOMPUTING, 2019, 卷号: 325, 页码: 269-282
Authors:  Feng, Lin;  Xu, Shuliang;  Wang, Feilong;  Liu, Shenglan;  Qiao, Hong
Favorite  |  View/Download:32/0  |  Submit date:2019/01/08
Extreme learning machine  Rough set  Attribute reduction  Classification  Neural network  
Salient object detection based on an efficient End-to-End Saliency Regression Network 期刊论文
NEUROCOMPUTING, 2019, 卷号: 323, 期号: 1, 页码: 265-276
Authors:  Xi, Xuanyang;  Luo, Yongkang;  Wang, Peng;  Qiao, Hong
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Salient object detection  Saliency regression  Deep convolutional neural networks  Fully convolutional networks  
An Online Multiview Learning Algorithm for PolSAR Data Real-Time Classification 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 1, 页码: 302-320
Authors:  Nie, Xiangli;  Ding, Shuguang;  Huang, Xiayuan;  Qiao, Hong;  Zhang, Bo;  Jiang, Zhong-Ping
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Multiview learning  online classification  passive-aggressive (PA) algorithm  polarimetric synthetic aperture radar (PolSAR)  
Guided Policy Search for Sequential Multitask Learning 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 卷号: 49, 期号: 1, 页码: 216-226
Authors:  Xiong, Fangzhou;  Sun, Biao;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir;  Liu, Zhiyong
Favorite  |  View/Download:12/0  |  Submit date:2019/07/12
Elastic weight consolidation (EWC)  guided policy search (GPS)  reinforcement learning (RL)  sequential multitask learning