Journal of Computer Applications ›› 2020, Vol. 40 ›› Issue (5): 1243-1252.DOI: 10.11772/j.issn.1001-9081.2019091703
• Artificial intelligence • Next Articles
YANG Feng1,2, XU Yu1, YIN Mengxiao1,2, FU Jiacheng1, HUANG Bing1, LIANG Fangxuan1
Received:
2019-10-10
Revised:
2019-12-16
Online:
2020-05-10
Published:
2020-05-15
Contact:
YANG Feng, born in 1979, Ph. D., associate professor. His research interests include artificial intelligence, network information security, big data and high-performance computing, precision medicine.
About author:
YANG Feng, born in 1979, Ph. D., associate professor. His research interests include artificial intelligence, network information security, big data and high-performance computing, precision medicine.XU Yu, born in 1993, M. S. candidate. Her research interests include deep learning, pedestrian re-identification.YIN Mengxiao, born in 1978,Ph. D., associate professor. Her research interests include computer graphics and virtual reality, digital geometry processing, image and video editing, graph theory.FU Jiacheng, born in 1995, M. S. candidate. His research interests include deep learning, medical image registration.HUANG Bing, born in 1993, M. S. candidate. Her research interests include medical image fusion.LIANG Fangxuan, born in 1994, M. S. candidate. Her research interests include deep learning, image segmentation.
Supported by:
杨锋1,2, 许玉1, 尹梦晓1,2, 符嘉成1, 黄冰1, 梁芳烜1
通讯作者:
杨锋(1979—)
作者简介:
杨锋(1979—),男,广西玉林人,副教授,博士,CCF会员,主要研究方向:人工智能、网络信息安全、大数据与高性能计算、精准医学; 许玉(1993—),女,广西百色人,硕士研究生,主要研究方向:深度学习、行人重识别; 尹梦晓(1978—),女,河南南阳人,副教授,博士, CCF会员,主要研究方向:计算机图形学与虚拟现实、数字几何处理、图像与视频编辑、图论; 符嘉成(1995—),男,广西柳州人,硕士研究生,主要研究方向:深度学习、医学图像配准; 黄冰(1993—),女,广西南宁人,硕士研究生,主要研究方向:医学图像融合; 梁芳烜(1994—),女,广西横县人,硕士研究生,主要研究方向:深度学习、图像分割。
基金资助:
CLC Number:
YANG Feng, XU Yu, YIN Mengxiao, FU Jiacheng, HUANG Bing, LIANG Fangxuan. Review on deep learning-based pedestrian re-identification[J]. Journal of Computer Applications, 2020, 40(5): 1243-1252.
杨锋, 许玉, 尹梦晓, 符嘉成, 黄冰, 梁芳烜. 基于深度学习的行人重识别综述[J]. 计算机应用, 2020, 40(5): 1243-1252.
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URL: http://www.joca.cn/EN/10.11772/j.issn.1001-9081.2019091703
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