部门： 电子科学与技术系
姓名： 田昕
邮箱： xin.tian@whu.edu.cn
性别： 男
职称： 副教授
学历学位： 博士
导师类型： 博导/硕导
办公电话：
通信地址： 武汉市武昌区武汉大学计算机大楼G座3楼
邮政编码： 430072
主要经历：
学习经历： 2000/09-2004/06，华中科技大学，电子科学与技术系，学士
2004/09-2010/01，华中科技大学，图像识别与人工智能研究所，博士

任职经历： 2010/03-2012/09，华中科技大学，信息与通信工程，博士后
2012/09至今，武汉大学，电子信息学院，讲师/副教授
2015/08-2016/08，美国佐治亚理工学院 (Georgia Tech)，School of Electrical and Computer Engineering，Visiting Scholar

主讲课程：
本科生课程： 数字图像处理

研究生课程： 多媒体信息处理技术

科学研究：
主要研究方向： 计算成像、图像融合、深度学习、信息论与编码

主要科研课题及项目： ² 2019/09-，国家自然科学基金面上项目，阵列成像中基于先验知识进行张量字典学习的统一理论模型及应用方法，主持
² 2017/06-2019/07，深圳市自由探索项目，亿级像素光学成像系统多视点分布式视频编码关键技术研究，主持
² 2016/06-2017/07，企业合作项目，低成本多线车载激光雷达技术，主要参与者
² 2015/01-2016/12，国家测绘局行业公益项目，面向大比例尺测图的并行激光雷达技术及其应用，主要参与者
² 2014/01-2015/12，武汉市青年科技晨光计划，多视点全景成像图像处理关键技术研究，已结题，主持
² 2014/01-2015/12，企业合作项目，基于多源信息智能感知的电力高清视频会议音视频质量评价系统研究，已结题，主要参与者
² 2014/01-2014/12，航天创新基金，基于双正交重叠变换的高动态范围遥感图像分类编码技术，已结题，主持
² 2013/01-2014/12，湖北省自然科学基金，基于图像活跃度的多视点全景成像编码传输关键技术研究，已结题，主持
² 2012/01-2014/12，国家自然科学基金青年基金项目，低复杂度的高动态范围空间图像编码关键技术研究，已结题，主持
² 2011/09-2012/09，中国博士后科学基金重点资助项目，面向深空探测的分布式压缩采样视频编码技术研究，已结题，主持
² 2010/12-2011/12，中国博士后科学基金面上资助，深空探测中基于可伸缩的高可靠性小波变换VLSI结构设计方法研究，已结题，主持
² 2011/03-2011/08，航天院所合作项目，激光雷达成像信息处理系统，已结题，主要参与者
² 2010/06-2011/06，航天院所合作项目，图像编码器测试设备，已结题，主持
² 2010/09-2011/03，航天院所合作项目，红外自动目标识别验证技术：图像采集系统，已结题，主要参与者
² 2009/06-2010/02，航天院所合作项目，红外与微光融合技术，已结题，主要参与者

主要论文及著作： ~X. Tian, W. Chen, Z. Wang, J. Ma. "Polarization prior to single-photon counting image denoising, " Optics Express, 2021, 29 (14), 21664-21682
~R. Liu, X. Tian*, S. Li. "Polarisation-modulated photon-counting 3D imaging based on a negative parabolic pulse model, " Optics Express, 2021, 29 (13): 20577-20589
~X. Tian, K. Li, Z. Wang, and J. Ma. "VP-Net: An Interpretable Deep Network for Variational Pansharpening", IEEE Transactions on Geoscience and Remote Sensing, 2021, In Press.
~H. Zhang, H. Xu, X. Tian, J. Jiang, andJ Ma. "Image fusion meets deep learning: A survey and perspective",Information Fusion, 2021, In Press.
~J. Ma, C. Peng, X. Tian*, and J. Jiang. "DBDnet: A Deep Boosting Strategy for Image Denoising",IEEE Transactions on Multimedia, 2021, In Press.
~K. Li, W. Zhang, X. Tian*, J. Ma, H. Zhou, and Z. Wang. "Variation-Net: Interpretable Variation-Inspired Deep Network for Pansharpening, " In IEEE International Conference on Multimedia and Expo (ICME), 2021, pp.1-6
~B. Huang, Z. Wang, G. Wang, K. Jiang, K. Zeng, Z. Han, X. Tian, and Y. Yang. "When Face Recognition Meets Occlusion: A New Benchmark, " In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 4240-4244.
~X. Tian, Y. Chen, C. Yang, and J. Ma. "Variational Pansharpening by Exploiting Cartoon-Texture Similarities, "IEEE Transactions on Geoscience and Remote Sensing, 2021, In Press.
~J. Ma, Z. Le, X. Tian, and J. Jiang. "SMFuse: Multi-focus Image Fusion via Self-supervised Mask-optimization", IEEE Transactions on Computational Imaging, 2021, 7, pp. 309-320.
~Q. Hong, Z. Wang, Z. He, N. Wang,X. Tian, and T. Lu. "Masked Face Recognition with Identification Association, " In IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), 2020, pp.731-735.
~Y. Chen, M. Zhang, S. Li, Z. Wang, andX. Tian*. "Cartoon-Texture Decomposition-Based Variational Pansharpening," In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 2688-2692.
~M. Zhang, Z. Zhao, Y. Chen, Z. Wang, andX. Tian*. "FusionNDVI: A Novel Fusion Method for NDVI in Remote Sensing," In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 4816-4820.
~M. Zhang, S. Li, F. Yu, andX. Tian*. "Image fusion employing adaptive spectral-spatial gradient sparse regularization in UAV remote sensing,"Signal Processing, 2020, (170): 107434.
~W. Chen, S. Li, andX. Tian*. "Robust single-photon counting imaging with spatially correlated and total variation constraints,"Optics Express, 2020, 28(2): 2625-2639.
~X. Tian, W. Chen, F. Zhao, B. Li, Z. Wang. “Robust CBCT reconstruction based on low-rank tensor decomposition and total variation regularization,” In IEEE International Conference on Image Processing (ICIP), 2020, 330-334.
~X. Tian,M. Zhang, C. Yang, J. Ma. “FusionNDVI: a computational fusion approach for high-resolution normalized difference vegetation index,”IEEE Transactions on Geoscience and Remote Sensing, 2020, 59 (6), 5258-5271.
~X. Tian,Y. Chen, C. Yang, X. Gao, J. Ma. “A variational pansharpening method based on gradient sparse representation,”IEEE Signal Processing Letters, 2020, 27, 1180-1184.
~Z. Le, J. Huang, F. Fan,X. Tian, J. Ma. “A generative adversarial network for medical image fusion,” In IEEE International Conference on Image Processing (ICIP), 2020, 330-334.
~H. Zhang, J. Ma, C. Chen,X. Tian*.“NDVI-Net: A fusion network for generating high-resolution normalized difference vegetation index in remote sensing,”ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 168, 182-196.
~X. Jiang, J. Ma, A. Fan, H. Xu, G. Lin, T. Lu,X. Tian.“Robust feature matching for remote sensing image registration via linear adaptive filtering,”IEEE Transactions on Geoscience and Remote Sensing, 2020.
~M. Zhang, Y. Chen, S. Li,X. Tian*. “Sparse representation-based image fusion for multi-source NDVI change detection,” In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020.
~K. Jiang, Z. Wang, P. Yi, C. Chen, Y. Yang,X. Tian, J. Jiang. “Attention-guided deraining network via stage-wise learning,” In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 2618-2622.
~X. Tian. "Fourier ptychographic reconstruction using mixed Gaussian–Poisson likelihood with total variation regularization,"Electronics Letters, 2019, 55(19): 1041-1043.
~ X. Tian. "Multiscale sparse dictionary learning with rate constraint for seismic data compression,"IEEE Access, 2019, 7: 86651-86663.
~X. Tian, A. Abdi, E. Liu, and F. Fekri. "Seismic signal compression through delay compensated and entropy constrained dictionary learning," In IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2018, pp. 1-5.
~A. Payani, A. Abdi,X. Tian, F. Fekri, and M. Mohandes. "Advances in seismic data compression via learning from data: Compression for seismic data acquisition,"IEEE Signal Processing Magazine, 2018, 35(2): 51-61.
~X. Tian, A. Abdi, E. Liu, and F. Fekri. "Memory-assisted seismic signal compression based on dictionary learning and sparse coding," In IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017, pp. 358-362.
~S. Zhang,X. Tian, C. Xiong, J. Tian, and D. Ming. "Fast implementation for the singular value and eigenvalue decomposition based on FPGA,"电子学报(英文版), 2017, 26(1): 132-136.
~T. Li,X. Tian*, C. Xiong, and J. Tian. "A coding scheme for noisy image based on layer segmentation,"电子学报(英文版), 2016, 25(4): 700-705.


其它：
获奖情况： 全国研究生电子设计竞赛一等奖(优秀指导教师)、全国研究生数学建模大赛二等奖(指导教师)、全国大学生FPGA创新设计竞赛三等奖(指导教师)、全国光电设计大赛华中赛区三等奖(指导教师)、测绘科技进步一等奖、电力行业信息化优秀成果一等奖、华中科技大学优秀博士后、华中科技大学三好研究生、航天科技集团“一等奖学金”、华中科技大学“优秀论文奖”以及华中科技大学“科研成果奖”等

主要社会及学术兼职： IEEE会员，IEEE Trans. on Signal Processing，Digital Signal Processing等国际权威杂志的审稿人

所带研究生情况： 欢迎有志青年报考我的研究生，满足以下条件者优先考虑：
² 有志科学研究，对算法研究兴趣浓厚者；
² 具有较好数学基础者；
² 具有良好英语水平者。
有意报考研究生的同学请提前通过电子邮箱（xin.tian@whu.edu.cn）与我联系，进行初步面试。就读研究生期间将提供参加国内外高水平学术会议等多种机会。