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;20183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 MagazineIEEE Trans. Image ProcessingIEEE Trans. MultimediaPattern 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 ProcessingIEEE Trans. on Human-Machine SystemsInformation ScienceIEEE Signal Processing Letters,等等担任国际著名期刊NeurocomputingSignal 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:18038153981

E-mailfei.zhou@szu.edu.cn  flying.zhou@163.com

 

部分重要论文

[1] Fei Zhou, 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-image super-resolution via independent dictionaries” IEEE Transactions on Multimedia, vol. 18, no. 3, pp. 313-325, Mar 2016. (通讯作者)

[8] Can Wang, Xiangjun Dong, Fei Zhou, Longbing Cao, and Chi-Hung Chi, “Coupled attribute similarity learning on categorical data”, IEEE Transactions on Neural Networks  and Learning Systems, vol. 26, no. 4, pp. 781-796, Apr. 2015. 

[9] Fei Zhou, Tingrong Yuan, Wenming Yang, and Qingmin 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, and Qingmin 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, and Qingmin Liao, “Image quality assessment based on inter-patch and intra-patch similarity”, Plos One, vol. 10, no. 3, e0116312, Mar 2015.

[12] Fei Zhou and Qingmin Liao. “Single-frame image super-resolution inspired by perceptual criteria”, IET Image Processing, vol. 9, no. 1, pp. 1-11, Jan 2015. 

[13] Fei Zhou, Biao Wang, and Qingmin 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, and Qingmin 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, and Qingmin 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, and Qingmin 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, and Qingmin Liao. “Single image super-resolution using incoherent sub-dictionaries learning”, IEEE Transactions on Consumer Electronics, vol. 58, no. 3, pp. 891-897, Aug 2012.

[18] Fei Zhou, Wenming Yang, and Qingmin Liao. “Super-resolution for face image by bilateral patches”, Electronics Letters, vol. 48, no. 18, pp. 1125-1126, Aug 2012.

[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”, 2017 IEEE 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] Tao Wu, Fei Zhou, Qingmin Liao. “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”, 3rd Asian 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 on Image ProcessingICIP, Paris, Oct 2014, pp. 2130-2134. (通讯作者)

[25] Wenming Yang, Tingrong Yuan, Fei Zhou*, and Qingmin Liao. “Face hallucination 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, and Qingmin Liao. “Image amplification based on pixel-splitting”, IEEE International Conference on Image Processing, Oct 2014, pp. 3919-3923. 

[27] Tingrong Yuan, Fei Zhou, Wenming Yang, and Qingmin 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, and Qingmin Liao.“Iterative super-resolution for facial image by local and global regression”, 19th International 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