+
当前您的位置: 首页 > 关于我们 > 成员简介 > 教师 > 正文

周飞

更新时间:2024-03-07 浏览量:

64f7cf323c4fa.jpg

个人简介:

周飞,深圳大学电子与信息工程学院副教授、特聘研究员、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”,电信学院博士后党支部书记。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,同时担任国际著名期刊Neurocomputing和Signal Processing: Image Communication的客座编辑。

联系方式:

邮箱:fei.zhou@szu.edu.cn 或 flying.zhou@163.com

电话:18038153981

地址:致信楼N901

研究兴趣:

图像/视频处理、机器视觉、模式识别,尤其是图像/视频超分辨率、逆色调映射和质量评价。

部分重要论文:

  • [1] Gaofeng Cao,Fei Zhou*, Kanglin Liu, Anjia Wang, Leidong Fan, "A decoupled kernel prediction network guided by soft mask for single image HDR reconstruction, " ACM Transactions on Multimedia Computing Communications and Applications, Just Accepted. July 2022.

  • [2] Gaofeng Cao,Fei Zhou*, Han Yan, Anjie Wang, and Leidong Fan, "KPN-MFI: A kernel prediction network with multi-frame interaction for video inverse tone mapping, " in Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), 2022, pp. 806–812.

  • [3]Fei Zhou, Rongguo Yao, Guangsen Liao, Bozhi Liu, and Guoping Qiu. "Visual saliency via embedding hierarchical knowledge in a deep neural network," IEEE Transactions on Image Processing, vol. 29, pp. 8490-8505, Aug. 2020.

  • [4]Fei Zhou, Qun Chen, Bozhi Liu, Guoping Qiu. "Structure and texture-aware image decomposition via training a neural network," IEEE Transactions on Image Processing, vol. 29, pp. 3458–3473, 2020.

  • [5]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.

  • [6] 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.

  • [7] W. Yang, T. Yuan, W. Wang,Fei Zhou*and Q. Liao, "Single-Image Super-Resolution by Subdictionary Coding and Kernel Regression," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 9, pp. 2478-2488, Sept. 2017.

  • [8] 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.

  • [9] 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.

  • [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, 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.

  • [12]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.

  • [13] Shaojun Liu, Qingmin Liao, Jing-Hao Xue,Fei Zhou*, "Defocus map estimation from a single image using improved likelihood feature and edge-based basis," Pattern Recognition, vol. 107, pp. 107485: 1–17, 2020.

  • [14] 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.

  • [15] Wen Sun,Fei Zhou*, Qingmin Liao, "MDID: A multiply distorted image database for quality assessment," Pattern Recognition, vol.61, 2017, pp. 153-168.

  • [16] Hongming Luo, Guangsen Liao, Xianxu Hou, Bozhi Liu,Fei Zhou*, Guoping Qiu. "VHS to HDTV video translation using multi-task adversarial learning," in Proceedings of International Conference on Multimedia Modeling (MMM), 2020, pp. 77-86.

  • [17]Fei Zhou, Guangsen Liao, Jiang Duan, Bozhi Liu, Guoping Qiu, "Tone mapping high dynamic range images based on region-adaptive self-supervised deep learning," Signal Processing: Image Communication, vol.102, pp. 116595, 2022.

  • [18] Shuhong Yuan andFei Zhou*, "Multiple clues inspired banding detector in high dynamic range videos," Electronics Letters, 2022.

  • [19]Fei Zhou, Jinghua Chen, Bozhi Liu, "Visual saliency via selecting and reweighting festures in hierarchical fusion network," IEEE Signal Processing Letters, vol. 28, pp. 1749-1753, 2021.

  • [20]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.

  • [21]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.

  • [22]Fei Zhouand Qingmin Liao, "Single-frame image super-resolution inspired by perceptual criteria," IET Image Processing, vol. 9, no. 1, pp. 1-11, Jan. 2015.

  • [23]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.

  • [24]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.

  • [25]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.

  • [26] 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.

  • [27] Xiaomin Zhang,Fei Zhou*, Yang Dong, Hui Ma, and Qingmin Liao, "Microstructure analysis of silk samples using Mueller matrix determination and sparse representation," IEEE International Conference on Image Processing (ICIP), pp. 4108-4112, 2017.

  • [28] Shuo Chen,Fei Zhou*, Qingmin Liao, "Visual domain adaptation using weighted subspace alignment, " Visual Communications and Image Processing (VCIP), Nov. 2016,pp. 1-5.

  • [29] 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.

  • [30] Tingrong Yuan, Wenming Yang,Fei Zhou*, and Qingmin Liao, "Single image super-resolution via sparse KPCA and regression," IEEE International Conference on Image Processing (ICIP), Paris, Oct2014, pp.2130-2134.

  • [31] 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.

  • [32]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.

  • [33] Kanglin Liu, Gaofeng Cao,Fei Zhou, Bozhi Liu, Jiang Duan, Guoping Qiu, "Towards disentangling latent space for unsupervised semantic face editing," IEEE Transactions on Image Processing, 2022.

  • [34] Yurong Ling,Fei Zhou, Kun Guo, Jing-Hao Xue, "ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment," Elsevier Neurocomputing, 2022.

  • [35] Gaofeng Cao,Fei Zhou, Kanglin Liu, Bozhi Liu, "A brightness-adaptive kernel prediction network for inverse tone mapping," Elsevier Neurocomputing, vol. 464, pp. 1-14, 2021.

  • [36] Wei Liu,Fei Zhou, T. Lu, Jiang Duan, and Guoping Qiu, "Image defogging quality assessment: Real-world database and method," IEEE Transactions on Image Processing, vol. 30, pp. 176-190, 2021.

  • [37] R. Zhu,Fei Zhou, and J.-H. Xue, "MvSSIM: A quality assessment index for hyperspectral images," Neurocomputing, vol. 272, pp. 250–257, 2018.

  • [38] 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.

  • [39] 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.

  • [40] 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.

  • [41] Xiangyi Fu,Fei Zhou, and Qingmin Liao, "Image amplification based on pixel-splitting, " IEEE International Conference on Image Processing (ICIP), Oct. 2014, pp.3919-3923.

  • [42] 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.

部分重要专利和软件著作权:

- 授权专利/软著

(1)周飞;姚荣国;谢锐涛;刘博智;邱国平;一种超分辨率图像的图像质量分析方法及系统, 2018-9-28,中国, ZL201811140284.9

(2)周飞;陈群;刘博智;邱国平;一种图像分解方法及装置, 2019-8-22,中国, CN201910776892.7

(3)罗鸿铭;周飞;廖广森;侯贤旭;邱国平;基于多任务对抗学习的视频转换方法、存储介质及终端, 2020-12-29,中国, ZL201910333132.9

(4)姚荣国;周飞;张邦文;陈群;邱国平;图像质量主观评价软件,2018SR915204,原始取得,全部权利,2018-9-8

- 在审专利/软著

(1)刘康淋;曾高峰;周飞;刘博智;段江;邱国平;一种人脸属性编辑方法、装置、智能终端及存储介质,2020-11-4,中国,CN202011219024.8

(2)康波;周飞;陈绵毅;邱国平;基于浅层与深度结构纹理特征的超分图像质量评价方法, 2021-12-3,中国, CN 202111470801.0

(3)梁志坚;周飞;袁树鸿;邱国平;一种能够去除带状伪像的视频逆色调映射方法及相关设备, 2021-12-2,中国, CN202111460080.5

(4)廖广森;周飞;罗鸿铭;刘博智;邱国平;一种基于区域自适应自监督学习的图像色调映射的方法, 2020-8-14,中国, CN202010817616.3

获批/在研/结题-科研项目:

国家自然科学基金面上项目:面向逆色调映射视频感知质量的半参考客观质量评价模型研究(62271323),2023.01-2026.12,已获批,主持

广东省自然科学基金面上项目:基于场景结构提取和分层知识嵌入的视觉显著性预测(2021A1515011584),2021.01至2023.12,在研,主持

高端人才科研启动项目:图像超分辨率研究及其质量评价(000466),2020.01至2022.12,在研,主持

腾讯基础平台技术犀牛鸟专项研究计划:面向修复视频的感知质量评价模型研究(014215),2020.10至2021.10,结题,主持

国家自然科学基金面上项目:基于局部视图的超高分辨率RGB-D全景图像的融合与生成(61771276),2017.01至2020.12,结题,参加

深圳市自由探索项目: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(JCYJ20150331151358138),2015.08至2017.08,结题,主持

国家自然科学基金青年科学基金项目:基于多边亲和度函数和序列图像的人脸超分辨率研究(61301183),2014.01至2016.12,结题,主持

博士后基金特别资助项目:基于邻域结构和局部特征的图像质量评估方法研究(2014T70083),2014至2016,结题,主持

国家自然科学基金面上项目:基于多曲面拟合和单帧学习信息的图像超分辨率方法(61271393),2013.01至2016.12,结题,参加

博士后基金面上项目:基于多边亲和度函数和多表面拟合的人脸超分辨率方法(2013M540947),2013至2016,结题,主持

国家自然科学基金青年科学基金项目:面向参数测量的无规则非周期性纹理图像分析方法研究(61007004),2011.01至2013.12,结题,参加

其他获奖情况

  • 深圳人工智能自然科学奖(第三顺位),图像超分辨率复原关键理论与技术研究,2022.03,深圳市人工智能学会

  • 考核优秀奖(个人),2020-2021学年工作考核优秀,2021.09,深圳大学

联系电话:0755-86716669

联系地址:深圳市南山区深圳大学南区致信楼N801