个人基本信息

赵凡 副教授
导师级别:硕导
学科:光学工程(人工智能,图像处理)
职务:
社会兼职:

联系方式

通信地址:理化608
电子邮件:Fan_Zhao20@163.com
办公电话:15326163325
办公地点:

个人简介

       本人长期从事深度学习在计算机视觉、图像处理方面的基础与应用研究,包括多模态图像融合、目标分割与检测等。近年来,在包括《IEEE Transactions on Pattern Analysis and Machine Intelligence》、《IEEE Transactions on Multimedia》、《IEEE ACCESS》、《TALANTA》、《Optics & Laser Technology》、《Applied Optics》和《IEEE Conference on Computer Vision and Pattern Recognition (CVPR)》等著名期刊及顶会发表论文二十余篇。主持国家自然科学基金一项,大连市人才项目一项,参与多项国家级、省部级项目。
 
      欢迎对我研究方向感兴趣的同学与我联系!邮箱:Fan_Zhao20@163.com.
 

个人学习经历

2014.03-2017.01 中国科学院长春光机所 博士研究生 获得博士研究生国家奖学金 中科院朱李月华奖学金(仅一人获得)
2011.08-2014.01 中国科学院长春光机所 硕士研究生

个人工作经历

2017.01-2020.07 中国科学院大连化学物理研究所 
2020.07-至今       辽宁师范大学

研究工作概况

一、 部分已发表文章:
1. Fan Zhao, et al. Self-supervised feature adaption for infrared and visible image fusion[J]. Information Fusion (2021).(一区,TOP期刊, 影响因子13.6)
2. Fan Zhao, Wenda Zhao. Learning Specific and General Realm Feature Representations for Image Fusion[J]. IEEE Transactions on Multimedia, 2020. DOI: 10.1109/TMM.2020.3016123.(一区,TOP期刊
3. Fan Zhao, et al. Image-Scale-Symmetric Cooperative Network for Defocus Blur Detection[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2021.(一区,TOP期刊
4. Fan Zhao, Shuai Huang, Xiaozhe Zhang. High sensitivity and specificity feature detection in liquid chromatography–mass spectrometry data: A deep learning framework[J]. Talanta, 2021, 222121580.(一区,TOP期刊
5. Fan Zhao, Guiying Xu, Wenda Zhao. CT and MR Image Fusion Based on Adaptive Structure Decomposition[J]. IEEE Access, 2019, 7: 44002-44009.
6. Fan Zhao, Haipeng Hu, Wenda Zhao. Deep Direction-Context-Inspiration Network for Defocus Region Detection in Natural Images[J]. IEEE Access, 2019, 7: 64737-64743.
7. Wenda Zhao, Fan Zhao, Dong Wang, Huchuan Lu. Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019..(一区,TOP期刊
8. Wenda Zhao, Fan Zhao, Dong Wang, Huchuan Lu. Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 3080-3088. (CCF A,顶级会议)
9. Fan Zhao, Jian Zhao, Wenda Zhao, Feng Qu, Long Sui. Local region statistics combining multi-parameter intensity fitting module for medical image segmentation with intensity inhomogeneity and complex composition, Optics & Laser Technology, 2016, 82: 17-27.
10. Fan Zhao, Jian Zhao, Wenda Zhao, Feng Qu. Guide filter-based gradient vector flow module for infrared image segmentation, Applied Optics, 2015, 54(33): 9809-9817.
11. Fan Zhao, Jian Zhao, Feng Qu, He Wang. Gaussian mixture model-based infrared image reconstruction enhancement and denoising, Infrared Physics & Technology, 2016, (76): 408-414.
12. Fan Zhao, Jian Zhao, Xizhen Han, He Wang, Bochao Liu. Robust image reconstruction enhancement based on Gaussian mixture model estimation, Journal of Electronic Imaging, 2016, 25(2): 023007.
13. Wenda Zhao, Zhijun Xu, Jian Zhao, Fan Zhao, Xizhen Han. Infrared image detail enhancement based on the gradient field specification, Applied Optics, 2014, 53(19): 4141-4149.
14. 赵凡,张葆,赵建,曲锋. 基于分层最大熵的航拍图像增强.光电子.激光,2015.
15.  赵凡,赵建,张葆,尹传历. 结合子层分割和自适应函数引导的规定化图像增强. 计算机辅助设计与图形学学报, 2014, 26(11): 2016-2022.
 
二、 获批项目:
深度目标级特征激励的质谱图像与显微图像多级别融合,国家自然科学基金委青年项目,24万,在研,主持人。