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、博士生导师，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，同时担任国际著名期刊Neurocomputing和Signal Processing: Image Communication的客座编辑。

研究兴趣：图像/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]Jiawan Li, Fei Zhou*, Zhipeng Zhong, Jiongzhi Lin, Guoping Qiu*. Towards Smart Point-and-Shoot Photography[C]. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2025: 28242-28251.

[2]Fei Zhou*, Tianhao Gu, Zhicong Huang, Guoping Qiu. Vision Language Modeling of Content, Distortion and Appearance for Image Quality Assessment[J]. IEEE Journal of Selected Topics in Signal Processing, 2025, 19(1): 234-247.

[3]Cuixin Yang, Rongkang Dong, Jun Xiao, Cong Zhang, Kin-Man Lam, Fei Zhou, Guoping Qiu. Geometric distortion guided transformer for omnidirectional image super-resolution[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2025, 35(6):

[4]Fei Zhou, Zikang Zheng, Guoping Qiu. Removing Banding Artifacts in HDR Videos Generated From Inverse Tone Mapping[J]. IEEE Transactions on Broadcasting, 2024, 70(2): 753-762.

[5] Fei Zhou, Shuhong Yuan, Zhijie Liang, Jiang Duan, Guoping Qiu. A Dataset and Model for the Visual Quality Assessment of Inversely Tone-Mapped HDR Videos[J]. IEEE Transactions on Image Processing, 2024, 33: 366-381.

[6]Fei Zhou, Wei Sheng, Zitao Lu, Guoping Qiu. A Database and Model for the Visual Quality Assessment of Super-Resolution Videos[J]. IEEE Transactions on Broadcasting, 2024, 70(2): 516-532.

[7]Lingkai Zhu, Fei Zhou, Bozhi Liu, Orcun Goksel. HDRfeat: A feature-rich network for high dynamic range image reconstruction[J]. Pattern Recognition Letters, 2024, 184: 148-154.

[8]Zehong Zhou, Fei Zhou*, Guoping Qiu. Blind Image Quality Assessment Based on Separate Representations and Adaptive Interaction of Content and Distortion[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(4): 2484-2497.

[9]Hongming Luo, Fei Zhou*, Guangsen Liao, Guoping Qiu. Super-resolving compressed images via parallel and series integration of artefacts removal and resolution enhancement[J]. Signal Processing, 2023, 205: 108861.

[10]Hongming Luo, Fei Zhou, Zehong Zhou, Kin-Man Lam, Guoping Qiu. Restoration of Multiple Image Distortions using a Semi-dynamic Deep Neural Network[C]. Proceedings of the 31st ACM International Conference on Multimedia, 2023: 7871-7880.

[11]Zhipeng Zhong, Fei Zhou, Guoping Qiu. Aesthetically relevant image captioning[C]. Proceedings of the AAAI Conference on Artificial Intelligence(AAAI), 2023, 37(3): 3733-3741.

[12]Gaofeng Cao, Fei Zhou*, Kanglin Liu, Anjia Wang, Leidong Fan. A decoupled kernel prediction network guided by soft mask for single image HDR reconstruction[C]. ACM Transactions on Multimedia Computing Communications and Applications, 2022: 1551-6857.

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

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

[15]Shuhong Yuan and Fei Zhou*. Multiple clues inspired banding detector in high dynamic range videos[J]. Electronics Letters, 2022, 58(7): 280-282.

[16]Kanglin Liu, Gaofeng Cao, Fei Zhou, Bozhi Liu, Jiang Duan, Guoping Qiu. Towards disentangling latent space for unsupervised semantic face editing[J]. IEEE Transactions on Image Processing, 2022, 31: 1475-1489.

[17]Yurong Ling, Fei Zhou, Kun Guo, Jing-Hao Xue. ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment[J]. Neurocomputing, 2022, 493: 568-582.

[18]Luo, Hongming and Zhou, Fei and Lam, Kin-man Qiu, Guoping. Restoration of User Videos Shared on Social Media[C]. ACM International Conference on Multimedia, 2022: 2749-2757.

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

[20]Gaofeng Cao, Fei Zhou, Kanglin Liu, Bozhi Liu. A brightness-adaptive kernel prediction network for inverse tone mapping[J]. Neurocomputing, 2021, 464: 1-14.

[21]Wei Liu, Fei Zhou, Tao Lu, Jiang Duan, Guoping Qiu. Image defogging quality assessment: Real-world database and method[J]. IEEE Transactions on Image Processing, 2021, 30: 176-190.

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

[23]Fei Zhou, Rongguo Yao, Guangsen Liao, Bozhi Liu, Guoping Qiu. Visual saliency via embedding hierarchical knowledge in a deep neural network [J]. IEEE Transactions on Image Processing, 2020, 29: 8490-8505.

[24]Fei Zhou, Qun Chen, Bozhi Liu, Guoping Qiu. Structure and texture-aware image decomposition via training a neural network[J]. IEEE Transactions on Image Processing, 2020, 29: 3458-3473.

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

[26]Kanglin Liu, Wenming Tang, Fei Zhou, Qiu, Guoping. Spectral Regularization for Combating Mode Collapse in GANs[C]. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019: 6382-6390.

[27]Fei Zhou, Rongguo Yao, Bozhi Liu, Guoping Qiu. Visual quality assessment for super-resolved images: Database and method[J]. IEEE Transactions on Image Processing, 2019, 28(7): 3528-3541.

[28]Rui Zhu, Fei Zhou, Jinghao Xue. MvSSIM: A quality assessment index for hyperspectral images[J]. Neurocomputing, 2018, 272: 250-257.

[29]Rui Zhu, Fei Zhou*, Wenming Yang, Jinghao Xue. On Hypothesis Testing for Comparing Image Quality Assessment Metrics[J]. IEEE Signal Processing Magazine, 2018, 35(4): 133-136.

[30]Wen Sun, Wenming Yang, Fei Zhou*, Qingmin Liao. Full-reference quality assessment of contrast changed images based on local linear model[C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018: 1228-1232.

[31]Wen Sun, Qingmin Liao, Jing-Hao Xue, Fei Zhou*. SPSIM: A superpixel-based similarity index for full-reference image quality assessment [J]. IEEE Transactions on Image Processing, 2018, 27(9): 4232-4244.

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

[33]Wenming Yang, Tingrong Yuan, Wei Wang, Fei Zhou*, Qingmin Liao. Single-Image Super-Resolution by Subdictionary Coding and Kernel Regression[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(9): 2478-2488.

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

[35]Shuo Chen, Fei Zhou*, Qingmin Liao. Visual domain adaptation using weighted subspace alignment[J]. Visual Communications and Image Processing (VCIP), 2016: 1-5.

[36]Shaojun Liu, Fei Zhou*, Qingmin Liao. Defocus map estimation from a single image based on two-parameter defocus model[J]. IEEE Transactions on Image Processing, 2016, 25(12): 5943-5956.

[37]Wenming Yang, Yapeng Tian, Fei Zhou*, Qingmin Liao, Hai Chen,  Chenglin Zheng. Consistent coding scheme for single-image super-resolution via independent dictionaries[J]. IEEE Transactions on Multimedia, 2016, 18(3): 313-325.

[38]Tao Wu, Fei Zhou, Qingmin Liao. A fast 3D face reconstruction method from a single image using adjustable model[C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016: 1656-1660.

[39]Can Wang, Xiangjun Dong, Fei Zhou, Longbing Cao, Chi-Hung Chi. Coupled attribute similarity learning on categorical data[J]. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(4): 781-796.

[40]Wenming Yang, Yapeng Tian, Fei Zhou*, Qingmin Liao. Single-image super-resolution using clustering-based global regression and propagation filtering[C]. 3rd Asian Conference on Pattern Recognition (ACPR), 2015: 296-300.

[41]Fei Zhou, Qingmin Liao. Single-frame image super-resolution inspired by perceptual criteria[J]. IET Image Processing, 2015, 9(1): 1-11.

[42]Fei Zhou, Tingrong Yuan, Wenming Yang, Qingmin Liao. Single-Image super-resolution based on compact KPCA coding and kernel regression, IEEE Signal Processing Letters[J]. 2015, 22(3): 336-340.

[43]Fei Zhou, Zongqing Lu, Can Wang, Wen Sun, Shutao Xia, Qingmin Liao. Image quality assessment based on inter-patch and intra-patch similarity[J]. Plos One, 2015, 10(3): e0116312.

[44]Wenming Yang, Xiaola Huang, Fei Zhou, Qingmin Liao. Comparative competitive coding for personal identification by using finger vein and finger dorsal texture fusion[J]. Information Sciences, 2014, 268: 20–32.

[45]Xiangyi Fu, Fei Zhou, Qingmin Liao. Image amplification based on pixel-splitting[C]. IEEE International Conference on Image Processing (ICIP), 2014: 3919-3923.

[46]Wenming Yang, Tingrong Yuan, Fei Zhou*, Qingmin Liao. Face hallucination via position-based dictionaries coding in kernel feature space[C]. IEEE International Conference on Smart Computing, 2014: 131-135.

[47]Tingrong Yuan, Fei Zhou, Wenming Yang, Qingmin Liao. Image super-resolution via Kernel regression of sparse coefficients[C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014: 5794-5798.

[48]Tingrong Yuan, Wenming Yang, Fei Zhou*, Qingmin Liao. Single image super-resolution via sparse KPCA and regression[C]. IEEE International Conference on Image Processing (ICIP), 2014: 2130-2134.

[49]Fei Zhou, Shutao Xia, Qingmin Liao. Nonlocal pixel selection for multisurface fitting based super-resolution, IEEE Transactions on Circuits and Systems for Video Technology, 2014, 24(12): 2013-2017.

[50]Fei Zhou, Biao Wang, Qingmin Liao. Super-resolution for facial image using multilateral affinity function[J]. Neurocomputing, 2014, 133(10): 194-208.

[51]Fei Zhou, Biao Wang, Wenming Yang, Qingmin Liao. Iterative super-resolution for facial image by local and global regression[C]. 19th International Conference on Multimedia Modeling, 2013: 414-424.

[52]Fei Zhou, Wenming Yang, Qingmin Liao. Super-resolution for face image by bilateral patches[J]. Electronics Letters, 2012, 48(18): 1125-1126.

[53]Fei Zhou, Wenming Yang, Qingmin Liao. Single image super-resolution using incoherent sub-dictionaries learning[J]. IEEE Transactions on Consumer Electronics, 2012, 58(3): 891-897.

[54]Fei Zhou, Wenming Yang, Qingmin Liao. Interpolation-based image super-resolution using multisurface fitting[J]. IEEE Transactions on Image Processing, 2012, 21(7): 3312-3318.

[55]Fei Zhou, Wenming Yang, Qingmin Liao. A coarse-to-fine subpixel registration method to recover local perspective deformation in image super-resolution[J]. IEEE Transactions on Image Processing, 2012, 21(1): 53-66.

部分重要专利和软件著作权

授权专利/软著

（1）周飞;魏广顺;黎冰;黄磊;赵博;毛军发;袁智健;输入前端电路、单比特时间交织模数转换电路及电子设备, 2024-06-18, 中国, ZL 2024 1 0326924.4

（2）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, 2024-11-19, 中国, ZL202111460080.5

（3）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, 中国, ZL202011219024.8

（4）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, 2024-04-02, 中国, ZL202111470801.0

（5）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

（6）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

（7）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

（8）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)黄磊; 赵海辰; 周飞; 一种微多普勒雷达数据增强方法、系统、终端及存储介质, 2024-07-30, 中国, CN202411029218.X

(2)周泽宏; 周飞; 盛巍; 邱国平; 基于自监督特征提取的质量评价方法、存储介质及终端, 2023-02-17, 中国, CN2023101886907

(3)黄培焕; 周飞; 刘博智; 一种基于 ICTCP空间的逆色调映射方法、终端及存储介质, 2023-08-09 , 中国, CN202311002174.7

(4)周飞,黄柏涛,邱国平一种基于视觉语言交互的视觉显著性预测方法及终端2024-04-29, 中国, CN202410531854.6

获批/在研/结题-科研项目

国家自然科学基金面上项目：面向多源SDR视频的逆色调映射方法研究（62571340），2025至2028，已获批，主持

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，在研，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，结题，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，结题，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

考核优秀奖（个人）,2023-2024学年工作考核优秀,2024.09,深圳大学

获2024年深圳大学优秀党务工作者称号

指导学生获2025年正大杯第十五届全国大学生市场调查与分析大赛本科组总决赛，一等奖

更新于2025/9/12