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Adaptive super -resolution for person re-identification with low-resolution images 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 114, 页码: 107682
作者:  Han, Ke;  Huang, Yan;  Song, Chunfeng;  Wang, Liang;  Tan, Tieniu
Adobe PDF(2944Kb)  |  收藏  |  浏览/下载：358/42  |  提交时间：2021/05/06
Person re-identification  Super-resolution  Body regions  Adaptive feature integration  
Part-based Structured Representation Learning for Person Re-identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 22
作者:  Li, Yaoyu;  Yao, Hantao;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(19052Kb)  |  收藏  |  浏览/下载：313/46  |  提交时间：2021/03/08
Person re-identification  representation learning  graph convolutional network  
High-speed rail pole number recognition through deep representation and temporal redundancy 期刊论文
NEUROCOMPUTING, 2020, 卷号: 415, 页码: 201-214
作者:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Li, Ding
Adobe PDF(2751Kb)  |  收藏  |  浏览/下载：318/58  |  提交时间：2021/01/07
Region-based convolutional neural network  Context information  Object detection  Number recognition  Pole number  High-speed rail  
CADN: A weakly supervised learning-based category-aware object detection network for surface defect detection 期刊论文
Pattern Recognition, 2020, 卷号: 109, 期号: 0, 页码: 10
作者:  Zou W(邹伟)
浏览  |  Adobe PDF(1839Kb)  |  收藏  |  浏览/下载：175/50  |  提交时间：2020/10/22
Weakly supervised learning, Automated surface inspection, Defect detection, Knowledge distillation  
High-fidelity View Synthesis for Light Field Imaging With Extended Pseudo 4DCNN 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2020, 卷号: 6, 页码: 830-842
作者:  Wang, Yunlong;  Liu, Fei;  Zhang, Kunbo;  Wang, Zilei;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(7054Kb)  |  收藏  |  浏览/下载：211/40  |  提交时间：2020/09/28
View synthesis  light field reconstruction  end-to-end  structure preserving  extended pseudo 4DCNN  
Improve Person Re-Identification With Part Awareness Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7468-7481
作者:  Huang, Houjing;  Yang, Wenjie;  Lin, Jinbin;  Huang, Guan;  Xu, Jiamiao;  Wang, Guoli;  Chen, Xiaotang;  Huang, Kaiqi
Adobe PDF(3927Kb)  |  收藏  |  浏览/下载：343/66  |  提交时间：2020/08/31
Person re-identification  part awareness  part segmentation  multi-task learning  
Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7019-7031
作者:  Zhang, Yuyang;  Xu, Shibiao;  Wu, Baoyuan;  Shi, Jian;  Meng, Weiliang;  Zhang, Xiaopeng
Adobe PDF(8221Kb)  |  收藏  |  浏览/下载：332/73  |  提交时间：2020/08/03
Estimation  Training  Feature extraction  Geometry  Computer vision  Cameras  Unsupervised learning  Unsupervised learning  DenseDepthNet  multi-view geometry constraint  depth consistency  
Visual Defect Inspection for Deep-Aperture Components With Coarse-to-Fine Contour Extraction 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 6, 页码: 3262-3274
作者:  Gong, Xinyi;  Su, Hu;  Xu, De;  Zhang, Jiabin;  Zhang, Lei;  Zhang, Zhengtao
浏览  |  Adobe PDF(1324Kb)  |  收藏  |  浏览/下载：368/78  |  提交时间：2020/08/03
Coarse-fine positioning  deep-hole component  defect inspection  edge grouping  image processing  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
浏览  |  Adobe PDF(2315Kb)  |  收藏  |  浏览/下载：366/67  |  提交时间：2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
浏览  |  Adobe PDF(2315Kb)  |  收藏  |  浏览/下载：332/51  |  提交时间：2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography