周飞，深圳大学助理教授、特聘副研究员、硕士生导师，深圳市高层次人才（后备级）和海外高层次人才（C类），南山区“领航人才”。2007年毕业于华中科技大学电信系，获学士学位；2013年毕业于清华大学电子系，获博士学位，获清华大学优秀博士学位论文；2013年至2016年于清华大学深圳研究生院从事科研工作；2017年至伦敦大学学院（UCL）统计系从事学术访问一年；2018年3月起在深圳大学信息工程学院任教。主要图像处理和模式识别领域的研究，曾主持和参与国家、深圳市的多个科研项目，发表学术论文50余篇，其中以第一或通讯作者身份在IEEE Signal Processing Magazine、IEEE Trans. Image Processing、IEEE Trans. Multimedia、Pattern Recognition等国际著名刊物上发表了多篇学术论文。他是多个国际一流期刊的审稿人，包括IEEE Trans. Image Processing、IEEE Trans. on Human-Machine Systems、Information Science、IEEE Signal Processing Letters，等等担任国际著名期刊Neurocomputing和Signal Processing: Image Communication的客座编辑。
研究兴趣：图像处理、机器视觉、模式识别，尤其是超分辨率和图像质量评价。
地址：信工楼N901
电话：**
E-mail：fei.zhou@szu.edu.cn或flying.zhou@163.com
部分重要论文
[1]FeiZhou, Rongguo Yao, Bozhi Liu, and Guoping Qiu, “Visual quality assessment for super-resolved images: Database and method,”IEEE Transactions on Image Processing,vol. 28, no. 7, pp. 3528–3541, 2019.
[2]Rui Zhu,Fei Zhou*, Wenming Yang, and Jing-Hao Xue. “On Hypothesis Testing for Comparing Image Quality Assessment Metrics”,IEEE Signal Processing Magazine, vol. 35, no. 4, Jul. 2018, pp. 133-136. (通讯作者)
[3]Wen Sun, Qingmin Liao, Jing-Hao Xue,Fei Zhou*. “SPSIM: A superpixel-based similarity index for full-reference image quality assessment,”IEEE Transactions on Image Processing, vol. 27, no. 9, Sept. 2018, pp. 4232-4244.(通讯作者)
[4]R. Zhu,Fei Zhou, and J.-H. Xue, “MvSSIM: A quality assessment index for hyperspectral images,”Neurocomputing, vol. 272, pp. 250–257, 2018.
[5]Wen Sun,Fei Zhou*, Qingmin Liao, “MDID: A multiply distorted image database for quality assessment”,Pattern Recognition, vol.61, 2017, pp. 153-168.(通讯作者)
[6]Shaojun Liu,Fei Zhou*, and Qingmin Liao. “Defocus map estimation from a single image based on two-parameter defocus model”,IEEE Transactions on Image Processing, vol. 25, no. 12, pp. Dec, 2016.(通讯作者)
[7]Wenming Yang, Yapeng Tian,Fei Zhou*, Qingmin Liao, Hai Chen, and Chenglin Zheng.“Consistent coding scheme for single-imagesuper-resolution via independent dictionaries”IEEE Transactions on Multimedia,vol. 18,no. 3,pp. 313-325, Mar2016.(通讯作者)
[8]Can Wang, Xiangjun Dong,Fei Zhou, Longbing Cao, and Chi-Hung Chi,“Coupledattributesimilaritylearningoncategoricaldata”,IEEE Transactions onNeural Networks and Learning Systems, vol. 26,no. 4,pp. 781-796,Apr.2015.
[9]Fei Zhou, Tingrong Yuan, Wenming Yang,andQingmin Liao.“Single-Image super-resolution based on compact KPCA coding and kernel regression”,IEEE Signal Processing Letters, vol. 22, no. 3, pp. 336-340, Mar 2015.
[10]Fei Zhou,Shu-Tao Xia,andQingmin Liao“Nonlocal pixel selection for multisurface fitting based super-resolution”,IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no.12, pp. 2013-2017. Dec 2014.
[11]Fei Zhou,Zongqing Lu,Can Wang, Wen Sun, Shu-Tao Xia, andQingmin Liao,“Imagequalityassessmentbased oninter-patch andintra-patchsimilarity”,Plos One, vol. 10, no. 3, e**, Mar 2015.
[12]Fei ZhouandQingmin Liao.“Single-frame image super-resolution inspired by perceptual criteria”,IETImageProcessing, vol. 9, no. 1, pp. 1-11, Jan 2015.
[13]Fei Zhou, Biao Wang,andQingmin Liao.“Super-resolution for facial image using multilateral affinity function”,Neurocomputing, vol.133, no. 10, pp. 194–208, Jun 2014.
[14]Wenming Yang, Xiaola Huang,Fei Zhou,andQingmin Liao.“Comparative competitive coding for personal identification by using finger vein and finger dorsal texture fusion”,Information Sciences, vol.268,pp.20–32,June 2014.
[15]Fei Zhou,Wenming Yang,andQingmin Liao.“A coarse-to-fine subpixel registration method to recover local perspective deformation in image super-resolution”,IEEE Transactions on Image Processing, vol.21, no.1, pp.53-66, Jan. 2012.
[16]Fei Zhou,Wenming Yang,andQingmin Liao.“Interpolation-based image super-resolution using multisurface fitting”,IEEE Transactions on Image Processing, vol. 21, no. 7, pp.3312-3318, Jul. 2012.
[17]Fei Zhou, Wenming Yang,andQingmin Liao.“Single image super-resolution using incoherent sub-dictionaries learning”,IEEE Transactions on Consumer Electronics,vol.58, no.3,pp.891-897, Aug2012.
[18]Fei Zhou, Wenming Yang,andQingmin Liao.“Super-resolution for face image by bilateral patches”,Electronics Letters,vol. 48, no. 18, pp.1125-1126, Aug2012.
[19]Wen Sun,Wenming Yang,Fei Zhou*, and Qingmin Liao “Full-reference quality assessment of contrast changed images based on local linear model”,IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 2018, pp. 1228-1232.(通讯作者)
[20]Xiaomin Zhang,Fei Zhou*,Yang Dong, Hui Ma, and Qingmin Liao. “Microstructure analysis of silk samples using Mueller matrix determination and sparse representation”, 2017IEEE International Conference on Image Processing, pp. 4108-4112.(通讯作者)
[21]Shuo Chen,Fei Zhou*, Qingmin Liao. “Visual domain adaptation using weighted subspace alignment”,Visual Communications and Image Processing(VCIP), Nov 2016，pp. 1-5.
[22]TaoWu,Fei Zhou, QingminLiao. “A fast 3D face reconstruction method from a single image using adjustable model”,IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 2016, pp. 1656-1660.
[23]Wenming Yang, Yapeng Tian,Fei Zhou*, and Qingmin Liao. “Single-Image Super-Resolution Using Clustering-Based Global Regression and Propagation Filtering”,3rdAsian Conference on Pattern Recognition(ACPR), Kuala Lumpur Malaysia, pp.296-300.
[24]Tingrong Yuan, Wenming Yang,Fei Zhou*, and Qingmin Liao.“Single image super-resolution via sparse KPCA and regression”,IEEE International Conference onImageProcessing（ICIP）,Paris,Oct2014, pp.2130-2134.(通讯作者)
[25]Wenming Yang, Tingrong Yuan,Fei Zhou*, and Qingmin Liao.“Facehallucination via position-based dictionaries coding in kernel feature space”,IEEE International Conference on Smart Computing,Hong Kong,Nov. 2014, pp.131-135.(通讯作者)
[26]Xiangyi Fu,Fei Zhou,andQingmin Liao.“Image amplification based on pixel-splitting”,IEEE International Conference onImageProcessing, Oct2014, pp.3919-3923.
[27]Tingrong Yuan,Fei Zhou, Wenming Yang,andQingmin Liao.“Image super-resolution via Kernel regression of sparse coefficients”,IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), May 2014,pp.5794-5798.
[28]Fei Zhou, Biao Wang, Wenming Yang,andQingmin Liao.“Iterativesuper-resolution forfacialimage bylocal andglobalregression”,19thInternational Conference on Multimedia Modeling, 2013,pp.414-424.
部分主要项目
国家自然科学基金青年基金项目：基于多边亲和度函数和序列图像的人脸超分辨率研究
深圳市基础研究项目：基于非局部像素选择和非线性编码系数映射的超分辨率方法