付莹

教授

出生年月：1987年08月

电子邮件：fuying@bit.edu.cn

所在学科

信息与通信工程

研究方向

计算摄像学、计算机视觉、机器学习、多媒体图像视频分析等

个人简历

2016.10 至今：任职于 金沙集团888881 金沙集团888881

2015.10-2016.09：东京大学 信息科学与技术专业 博士后

2012.10-2015.09：就读于 东京大学 信息科学与技术专业 博士

2009.09-2012.07：就读于 清华大学 自动化专业 硕士

2005.09-2009.07：就读于 西安电子科技大学 电子信息工程专业 本科

代表性学术成果

请在此处填写（代表性学术成果可综述，若列项填写最多不超过20项）

1. Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang*.. Joint Camera Spectral Response Selection and Hyperspectral Image Recovery. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 1, pp. 256-272, 2022. (CCF-A类期刊，IF="17.861)

2. Yunhao Zou, Yinqiang Zheng, Tsuyoshi Takatani. Ying Fu*. Learning to Reconstruct High Speed and High Dynamic Range Videos from Events. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.(CCF-A类会议)

3. Fan Zhang, Yu Li, Shaodi You, Ying Fu*. Learning Temporal Consistency for Low Light Video Enhancement from Single Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.(CCF-A类会议)

4. Yuxuan Han, Jiaolong Yang, Ying Fu. Disentangled Face Attribute Editing via Instance-Aware Latent Space Search. International Joint Conference on Artificial Intelligence (IJCAI), 2021.(CCF-A类会议)

5. Tao Zhang, Ying Fu*, Cheng Li. Hyperspectral Image Denoising With Realistic Data. Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2021.(CCF-A类会议)

6. Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang, Ying Fu*, Carola-Bibiane Schnlieb, Hua Huang. Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. International Conference on Machine Learning (ICML), Vienna, Austria, 2020. (CCF-A类会议，杰出论文奖，接受率0.04%)

7. Kaixuan Wei, Ying Fu*, Hua Huang. 3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020. (CCF-B类期刊, IF="8.793 )

8. Kaixuan Wei, Ying Fu*, Jiaolong Yang, Hua Huang. A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA,2020. (CCF-A类会议，口头报告，接收率5%)

9. Yixi Xiang, Ying Fu*, Lei Zhang, Hua Huang. An Effective Network With ConvLSTM for Low-Light Image Enhancemen, The 2nd Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Xi'an, China, 2019. (最佳论文奖)

10. Lizhi Wang, Tao Zhang, Ying Fu*, Hua Huang. HyperReconNet: Joint Coded Aperture Optimization and Image Reconstruction for Compressive Hyperspectral Imaging, IEEE Transactions on Image Processing (TIP), 2019,28(5): 2257-2270 (CCF-A类期刊，IF="9.34)

11. Ye Xiang, Ying Fu*, Hua Huang. Global Topology Constraint Network for Fine-Grained Vehicle Recognition, IEEE Transactions on Intelligent Transportation Systems (TITS), 2019 (CCF-B类期刊，IF="6.319)

12. Tao Zhang, Ying Fu*, Lizhi Wang, Hua Huang. Hyperspectral Image Reconstruction using Deep External and Internal Learning, IEEE International Conference on Computer Vision (ICCV), Seoul , 2019. (CCF-A类会议)

13. Ye Xiang, Ying Fu*, Pan Ji, Hua Huang. Incremental Learning Using Conditional Adversarial Networks, IEEE International Conference on Computer Vision (ICCV), Seoul , 2019. (CCF-A类会议)

14. Kaixuan Wei, Jiaolong Yang, Ying Fu*, David Wipf, Hua Huang. Single Image Reffection Removal Exploiting Misaligned Training Data and Network Enhancements, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, 2019. (CCF-A类会议)

15. Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang*. Hyperspectral Image Super-Resolution with Optimized RGB Guidance, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, 2019. (CCF-A类会议)

16. Ying Fu, Yinqiang Zheng, Hua Huang*, Imari Sato, Yoichi Sato. Hyperspectral Image Super-Resolution With a Mosaic RGB Image, IEEE Transactions on Image Processing (TIP), 2018,27(11): 5539-5552 (CCF-A类期刊，IF="9.34)

17. Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang*. Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery. European Conference on Computer Vision (ECCV), Munich, Germany, 2018. (CCF-B类会议)

18. Ying Fu, Antony Lam, Imari Sato, and Yoichi Sato. Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Restoration, International Journal of Computer Vision (IJCV), vol. 122, no. 5, pp. 228-245, 2017. (CCF-A类期刊，IF="5.698)

19. Ying Fu, Antony Lam, Imari Sato, Takahiro Okabe, and Yoichi Sato. Reflectance and Fluorescent Spectra Recovery via Actively Lit RGB Images, IEEE Trans. Pattern Analysis and Mahine Intelligence (TPAMI), vol. 38, no. 5, pp. 965-978,2016. (CCF-A类期刊，IF="17.861)

20. Ying Fu, Antony Lam, Imari Sato, Takahiro Okabe, and Yoichi Sato. Separating Reflective and Fluorescent Components using High Frequency Illumination in the Spectral Domain, IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), vol. 38, no. 7, pp. 1313-1326, 2016. (CCF-A类期刊，受邀投稿，IF="17.861)

荣誉奖励

2020年，获得国际会议ICML2020杰出论文奖

2019年，获得中国一级学会会议PRCV2019最佳论文奖

2017年，入选2017年国家海外高层次人才计划青年项目

学术兼职及其他