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、 近五年发表文章:
1.F. Zhao(通讯). "MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding from Object Detection," 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 13955-13965.(CCF A类)
2. F. Zhao(通讯),"Nowhere to Disguise: Spot Camouflaged Objects via Saliency Attribute Transfer," in IEEE Transactions on Image Processing, vol. 32, pp. 3108-3120, 2023.(一区,TOP期刊 IF=10.8
3. F. Zhao(通讯). Diversity Consistency Learning for Remote-Sensing Object Recognition With Limited Labels. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-10, 2022.(一区,TOP期刊
4 .F. Zhao, et al. "Interactive Feature Embedding for Infrared and Visible Image Fusion," in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2023.3264911.一区,TOP期刊 IF=10.4
5. F. Zhao, et al. "Depth-Distilled Multi-Focus Image Fusion," in IEEE Transactions on Multimedia, vol. 25, pp. 966-978, 2023.一区,TOP期刊 IF=8.4)
6. 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)
7. 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
8. 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
9. 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
10. 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
11. 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)
 
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。
大连市科技之星,主持人。