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中级

黄源飞

  时间:2024-02-20  浏览:



  • 姓名:黄源飞

  • 职称:讲师

  • 邮箱:yfhuang@bnu.edu.cn


    教育背景

  • 2016.09—2021.06 西安电子科技大学  博士

  • 2012.09—2016.06 河北工业大学  学士


    工作经历

  • 2024.01至今   北京师范大学  讲师

  • 2021.7—2024.01  北京师范大学 博士后


    研究领域

  • 计算机视觉-底层视觉处理(图像超分辨率、图像去噪)

    (随时欢迎感兴趣的研究生、本科生、实习生通过邮件联系合作、交流)


    学术成果

  • 最新论文成果详见个人主页:https://yfhuang.com

  • Yuanfei Huang, Jie Li, Yanting Hu, Xinbo Gao, and Hua Huang, “Transitional Learning: Exploring the Transition States of Degradation for Blind Super-resolution,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, 45(5): 6495-6510.

  • Yuanfei Huang, Jie Li, Yanting Hu, Hua Huang, and Xinbo Gao, “Deep Convolution Modulation for Image Super-resolution,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, Early Access.

  • Yanting Hu, Yuanfei Huang*, and Kaibing Zhang, “Multi-scale information distillation network for efficient image super-resolution”, Knowledge-Based Systems (KBS), 2023, 275: 110718.

  • Yanting Hu, Jie Li, Yuanfei Huang, and Xinbo Gao, “Image Super-Resolution with Self-Similarity Prior Guided Network and Sample-Discriminating Learning,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022, 32(4): 1966-1985.

  • Yuanfei Huang, Jie Li, Xinbo Gao, Yanting Hu, and Wen Lu, “Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution,” IEEE Transactions on Image Processing (TIP), 2021, 30: 2325-2339.

  • Yanting Hu, Jie Li, Yuanfei Huang, and Xinbo Gao, “Channel-Wise and Spatial Feature Modulation Network for Single Image Super-Resolution,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020, 30(11): 3911-3927.

  • Yuanfei Huang, Jie Li, Xinbo Gao, Wen Lu, and Yanting Hu, “Improving Image Super-Resolution via Feature Re-Balancing Fusion,” in IEEE International Conference on Multimedia and Expo (ICME), 2019, pp. 580-585.

  • Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, and Xinbo Gao, “Un-Paired Real World Super-Resolution with Degradation Consistency,” in IEEE/CVF International Conference on Computer Vision Workshop (ICCV Worksh.), 2019, pp. 3458-3466.

  • Yuanfei Huang, Jie Li, Xinbo Gao, Lihuo He, and Wen Lu, “Single Image Super-Resolution via Multiple Mixture Prior Models,” IEEE Transactions on Image Processing (TIP), 2018, 27(12): 5904-5917.


    科研项目

  • 基于降质机理表征的红外视频盲超分辨率研究,国家自然科学基金青年科学基金,主持


    荣誉奖励

  • 2024年 北京科协2024-2026年度青年人才托举工程


    学术兼职

  • 担任IEEE TPAMI、IEEE TIP、IEEE TCSVT、IEEE TMM、IEEE TITS、IEEE TIM、IEEE TIV、CVIU、CVPR、AAAI、《自动化学报》等国内外期刊和会议审稿人