Xiaofen Xing

 

Name: Xiaofen Xing

Introduction:

 

Xiaofen Xing  received the Ph.D. degree from the South China University of Technology, Guangzhou, China. She is currently an associate professor of the School of Electronic and Information Engineering in the South China University of Technology. Her current research interests include signal processing and computer vision.


Email:   xfxing@scut.edu.cn,

Mobile: +86 15322076680

Address:  Room 6265, 30th Building,

School of Electronic and Information Engineering,
 South China University of Technology (SCUT),
 Guangzhou, China, 510640.

Research Interest

signal processing and computer vision.

Publications(recent three years):http://dblp.dagstuhl.de/img/n.png

[1]Bolun CaiXiangmin Xu, Xiaofen Xing, Kui Jiaand Dacheng Tao, “BIT: biologically inspired tracker,” IEEE Transactions on Image Processing, vol.25, no.3, pp.1327-1339, 2016.

[2]Xiaofen Xing, Fuhao Qiu, Xiangmin Xu, Chunmei Qing, Yinrong Wu, “Robust object tracking based on sparse representation and incremental weighted PCA”. Multimedia Tools and Applications, vol.76,no.2,pp.2039-2057, 2017.

[3]Guicong Xu, Xingmin Xu, Xiaofen Xing, BolunCai, and Chunmei Qing, “Multi-invariance appearance model for object tracking,” IEEE International Conference on Digital Signal Processing (DSP), pp. 347-351, 2015.

[4]Xiaoyi Zou, Xiangmin Xu, Chunmei Qing, and Xiaofen Xing, “High speed deep networks based on discrete cosine transformation,” IEEE International Conference on Image Processing(ICIP), pp. 5921-5925, 2014.

[5]Xing, Xiaofen(#)Zhang, NanhaiGuo, KailingQing, Chunmei(*)Deng, JialiQin, HuipingBlurred Target Tracking Based on Sparse Representation of Online Updated Templates10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), 2016 Prague2016.7.20-2016.7.23

[6]X. XingK. GuoS. QiuX. XuHand Tracking by Combined Enhanced Incremental Learning and Background ModelInternational Conference on Mechatronic Science, Engineering and Computer, MECChangchun, China2011.8.19-2011.8.22

[7]X. XingS.QiuVisual Tracking Based on Biologically Inspired C2 Feature and Whole ConstraintIEEE International Conference on Consumer Electronics-China ICCC-CShenzhen, China2014.4.9-2014.4.13

[8]X. XingK. GuoS. Qiuetc.Hand Tracking Based on Multi-cluesInformation-An International Interdisciplinary Journal2012.12.201512A):5379~5386