厦门大学信息科学与技术学院计算机科学系导师介绍：曲延云

  曲延云教授
  西安交通大学 博士 （2006）
  研究方向: 计算机视觉模式识别图像处理
  所属部门: 计算机科学系
  联系电话:
  +86-592-258-0133
  电子邮件:
  yyqu (AT) xmu.edu.cn
  个人网址:
  http://www.quyanyun.com
  主讲课程:
  计算方法
  数据压缩
  视觉目标检测与跟踪（研究生课）
  指导研究生:
  2011:硕士生：廖梦杰，廖威明，宋书阳
  2010:硕士生：方素文，顾盈，魏乐义，杨江军，杨小清，吴少杰
  2009:硕士生：方天柱，刘晗，卢珅
  学术兼职:
  IEEE 会员， 2005-
  ACM会员， 2010-
  IEEE Transaction on Circuits and Systems for Video Technology 审稿人
  IET computer vision 审稿人
  在研项目:
  基于层次化学习算法的大规模目标识别，面上项目，2014-2017
  基于网络的图像搜集与标记，中央高校科研基本业务费项目，2010-2013
  代表性论文:
  X. Yang, Y. Qu*, and S. Fang, Color fused multiple features for traffic sign recognition,2013 ACM International Conference on Internet Multimedia Computing and Service
  Y. Qu, et al, Instance-Level Landmark Labeling via Multi-layer Superpixels,PCM2012
  H. Liu, Y.-Y. Qu*,et al",Class-specified Segmentation with Multi-scale Superpixels," ACCV2012
  Y. Gu, Y.-Y. Qu*, T.-Z. Fang, C.-H. Li, and H.-Z. Wang,Image Super-Resolution based on Multikernel Regression,ICPR2012
  S. Fang, Y. Qu*, et al, Object Localization Based on Discriminative Visual Words,ICMLC2012
  Evaluation of local features and classifiers in BOW model for image classification,Multimedia Tools and Applications(2012)
  Y. Xie, Y. Qu*,and et al,Online multiple instance gradient feature selection for robust visual tracking,Pattern Recogntion Letter,33,1075-1082(2012)
  Y. Qu,and et al,Weakly-supervised object localization in unlabeled image collection,Multimedia System,19,,51-62(2012)
  Yanyun Qu, Yanyun Cheng, Diwei Wu, Yi Xie, Component Localization in Face Alignment, 2010 IEEE International Conference on Systems, Man, and Cybernetics, Turkey. Pages: 3874-3880, ISBN-13:9781424465880. (EI:20110413608188)
  Yanyun Cheng, Yanyun Qu*, Hua Shi, Yi Xie, ID Number Recognition by Similarity Voting, 2010 IEEE International Conference on?Systems, Man, and Cybernetics, Turkey. Pages: 3881-3888, ISBN-13:9781424465880. (EI:20110413608179)
  Yanyun Qu, Diwei Wu, Yanyun Cheng, Cheng Chen, Two-stage Localization for Image Labeling, The 2010 Pacific-Rim Conference on Multimedia, Shanghai. Pages: 568-577, ISBN-10:3642157017, ISBN-13:9783642157011. (EI: 20104513357455)
  Yanyun Qu, Cheng Chen, Diwei Wu, Yi Xie, Image Labeling via Incremental Model Learinging, 2010 International Conference on Image Processing, HongKong. Pages: 1573-1576, ISBN-13:9781424479948. (EI:20110213575171)
  Yanyun Qu, Xiaofeng Du, Zejian Yuan, Cuihua Li, Discriminative Visual Words Selection for Visual Object Categorization, ACCV workshop VEC TaR 2009, Xi’an.
  曲延云,郑南宁,李翠华,袁泽剑,叶聪颖, 基于支持向量机的显著性建筑物检测,《计算机研究与发展》，vol.44（1）,pp.141-147,2007.(EI: 071710561899)
  Yuan Zejian, Qu Yanyun, Yang Chao, Liu Yuehu, A sequential subspace learning method and its application to dynamic texture analysis, Applied Mathematics and Computation (New York), v 185, n 2, Feb 15, 2007, p 834-843. (SCI: 158AI, EI: 070910463533)
  曲延云，郑南宁，李翠华，Karhunen-Loeve展开基函数的小波分解算法， 《自然科学进展》2005,vol.15, 第3期,pp. 357—362.
  Qu Y, Liu H, Yang X, Fang S, *Wang H, 2013. Weakly-supervised object localization in unlabeled image collection, Multimedia Systems, 19(1): 51-63
  Xie Y, Zhang W, Li C, Lin S, Qu Y, Zhang Y, 2014. Discriminative object tracking via sparse representation and online dictionary learning，IEEE Transactions On Cybernectics, 44(4): 539-553 (IEEE: SCI/EI) .
  Xie Y, Zhang W, Qu Y, Zhang Y, 2014. Discriminative subspace learning with sparse representation view-based model for robust visual tracking，Pattern Recognition, 47(3):1383-1394 (SCI/EI).
  Li J, *Qu Y, Li C, 2014. Learning local Guassian Process regression for image super-resolution. Neurocomputing, doi:10.1016/j.neucom.2014.11.064 (SCI/EI) .
  Qu Y, Wu S, Liu H, Xie Y, *Wang H, 2014. Evaluation of local features and classifiers in BOW model for image classification, Multimedia Tools and Applications, 70(2):605-624 (SCI/EI)
  Xie Y，*Zhang W，Qu Y，Zhang Y，2014，Discriminative subspace learning with sparse representation view-based model for robust visual tracking， Pattern Recognition（JCR2），47（3）:1383-1394.
  Xie Y，*Zhang W, Li C, Lin S, Qu Y, Zhang Y,2014，Discriminative object tracking via sparse representation and online dictionary learning，IEEE TRANSACTIONS ON CYBERNETICS（JCR2），44(4): 539-553.
  Li J,*Qu Y,Li C,Learning local Gaussian process regression for image super-resolution,Neurocomputing(JCR3),DOI:10.1016/j.neucom.2014.11.064.
  Qu Y,Wu S,Liu H,Xie Y,*Wang H, 2014, Evaluation of local features and classifiers in BOW model for image classification, Multimedia Tools and Applications, 70(2):605-624.