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A Gallery-Guided Graph Architecture for Sequential Impurity Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: 0, 页码: 149105-149116
作者:  He, Wenhao;  Song, Haitao;  Guo, Yue;  Yin, Xiaoyi;  Wang, Xiaonan;  Bian, Guibin;  Qian, Wen
浏览  |  Adobe PDF(3588Kb)  |  收藏  |  浏览/下载：349/60  |  提交时间：2020/03/30
Impurities  Proposals  Feature extraction  Training  Convolutional neural networks  Task analysis  Impurity detection  gallery-guided graph  feature embedding  graph convolutional neural network  
An Enhanced Feature Pyramid Object Detection Network for Autonomous Driving 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 20, 页码: 15
作者:  Wu, Yutian;  Tang, Shuming;  Zhang, Shuwei;  Ogai, Harutoshi
浏览  |  Adobe PDF(6078Kb)  |  收藏  |  浏览/下载：333/74  |  提交时间：2020/03/30
object detection  feature pyramid network  feature recalibration  context embedding  autonomous driving systems  augmented reality  
Scalable volumetric imaging for ultrahigh-speed brain mapping at synaptic resolution 期刊论文
NATIONAL SCIENCE REVIEW, 2019, 卷号: 6, 期号: 5, 页码: 982-992
作者:  Wang, Hao;  Zhu, Qingyuan;  Ding, Lufeng;  Shen, Yan;  Yang, Chao-Yu;  Xu, Fang;  Shu, Chang;  Guo, Yujie;  Xiong, Zhiwei;  Shan, Qinghong;  Jia, Fan;  Su, Peng;  Yang, Qian-Ru;  Li, Bing;  Cheng, Yuxiao;  He, Xiaobin;  Chen, Xi;  Wu, Feng;  Zhou, Jiang-Ning;  Xu, Fuqiang;  Han, Hua;  Lau, Pak-Ming;  Bi, Guo-Qiang
浏览  |  Adobe PDF(25368Kb)  |  收藏  |  浏览/下载：456/73  |  提交时间：2020/03/30
fluorescence microscopy  brain mapping  tissue clearing  immunostaining  activity trace mapping  
A Novel and Efficient CVAE-GAN-Based Approach With Informative Manifold for Semi-Supervised Anomaly Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 2019, 期号: 7, 页码: 88903-88916
作者:  Bian, Jiang;  Hui, Xiaolong;  Sun, Shiying;  Zhao, Xiaoguang;  Tan, Min
浏览  |  Adobe PDF(31078Kb)  |  收藏  |  浏览/下载：336/47  |  提交时间：2019/12/16
Semi-supervised anomaly detection  conditional variational auto-encoder  generative adversarial networks  informative manifold  structural similarity loss  
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 4774-4789
作者:  Fan, Bin;  Kong, Qingqun;  Wang, Xinchao;  Wang, Zhiheng;  Xiang, Shiming;  Pan, Chunhong;  Fua, Pascal
浏览  |  Adobe PDF(3986Kb)  |  收藏  |  浏览/下载：353/79  |  提交时间：2019/12/16
Local feature  image reconstruction  structure from motion (SFM)  3D vision  image matching  
Progression of cognitive decline before and after incident stroke 期刊论文
NEUROLOGY, 2019, 卷号: 93, 期号: 1, 页码: E20-E28
作者:  Zheng, Fanfan;  Yan, Li;  Zhong, Baoliang;  Yang, Zhenchun;  Xie, Wuxiang
收藏  |  浏览/下载：227/0  |  提交时间：2019/12/16
BitStream: An efficient framework for inference of binary neural networks on CPUs 期刊论文
PATTERN RECOGNITION LETTERS, 2019, 卷号: 125, 页码: 303-309
作者:  Jiang, Yanshu;  Zhao, Tianli;  He, Xiangyu;  Leng, Cong;  Cheng, Jian
Adobe PDF(1252Kb)  |  收藏  |  浏览/下载：304/43  |  提交时间：2019/12/16
Convolutional neural networks  Binary neural networks  Image classification  
A pose estimation system based on deep neural network and ICP registration for robotic spray painting application 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 卷号: 104, 期号: 1-4, 页码: 285-299
作者:  Wang, Zhe;  Fan, Junfeng;  Jing, Fengshui;  Liu, Zhaoyang;  Tan, Min
Adobe PDF(1920Kb)  |  收藏  |  浏览/下载：387/50  |  提交时间：2019/12/16
Pose estimation  Spray painting  RGB-D sensor  Deep neural network  ICP registration  
Faceboxes: A CPU real-time and accurate unconstrained face detector 期刊论文
NEUROCOMPUTING, 2019, 期号: 364, 页码: 297-309
作者:  Zhang, Shifeng;  Wang, Xiaobo;  Lei, Zhen;  Li, Stan Z.
浏览  |  Adobe PDF(5723Kb)  |  收藏  |  浏览/下载：322/51  |  提交时间：2019/12/16
Face detection  CPU real-time  Convolutional neural network  
Cognitive Decline Before and After Incident Coronary Events 期刊论文
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2019, 卷号: 73, 期号: 24, 页码: 3041-3050
作者:  Xie, Wuxiang;  Zheng, Fanfan;  Yan, Li;  Zhong, Baoliang
收藏  |  浏览/下载：278/0  |  提交时间：2019/09/30
cognitive decline  coronary heart disease  English Longitudinal Study of Ageing  linear mixed model