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曲延云 教授、博士生导师

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

电子邮件:yyqu (AT) xmu.edu.cn

个人主页:http://www.quyanyun.com

个人简历:

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.

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