邓欣查看源代码讨论查看历史
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邓欣，女，北京航空航天大学教授。
人物简历
教育经历
[1].2016.8 -- 2020.3 伦敦帝国理工学院 信息与通信工程 博士研究生毕业 工学博士学位
[2].2013.9 -- 2016.1 北京航空航天大学 信息与通信工程 硕士研究生毕业 工学硕士学位
[3].2009.9 -- 2013.6 北京航空航天大学 信息与通信工程 大学本科毕业 工学学士学位
工作经历
[1].2020.4 -- 至今 北京航空航天大学
社会任职
作为项目负责人承担国家自然科学基金青年项目一项，作为子课题负责人参与国家自然科学基金首批原创探索项目一项,承担中国人工智能学会-华为MindSpore基金一项。承担本科生课程“图像信号处理”及研究生课程“图像处理与信息隐藏”相关教学工作。担任IEEE TPAMI, TIP, TIT，JSTSP, TCSVT等国际知名期刊审稿人。
学术成果
论文
[13] Zhenyu Guan, Junpeng Jing, Xin Deng*, Mai Xu, et al. “ DeepMIH: Deep Invertible Network for Multiple Image Hiding”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)，2022, early access.
[12] Fangyuan Gao, Xin Deng*, Mai Xu and Jingyi Xu, “ Multi-modal Convolutional Dictionary Learning”，IEEE Transactions on Image Processing (TIP), 2022, early access.
[11] Xin Deng, Yutong Zhang, Mai Xu, Shuhang Gu, and Yiping Duan, “ Deep Coupled Feedback Network for Exposure Fusion and Image Super-Resolution”，IEEE Transactions on Image Processing (TIP), vol.30, pp 3098-3112，2021.
[10] Xin Deng, Wenzhe Yang, Ren Yang, Mai Xu, Enpeng Liu, Qianhan Feng, and Radu Timofte, “ Deep Homography for Efficient Stereo Image Compression”, Computer Vision and Pattern Recognition (CVPR), 2021. ORAL (计算机视觉领域顶级会议,CCF A类)
[9] Xin Deng, Hao Wang, Mai Xu, Yichen Guo, Yuhang Song, Yang Li. "LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-resolution." Computer Vision and Pattern Recognition (CVPR), 2021. (计算机视觉领域顶级会议，CCF A类)
[8] Junpeng Jing, Xin Deng (共一), Mai Xu, Jianyi Wang, Zhenyu Guan,. "HiNet: Deep Image Hiding by Invertible Network." IEEE International Conference on Computer Vision (ICCV), 2021. (计算机视觉领域顶级会议，CCF A类)
[7] Xiaofei Wang, Lai Jiang, Liu Li, Mai Xu, Xin Deng*， “Joint learning of 3D lesion segmentation and classification for explainable COVID-19 diagnosis”，IEEE Transactions on Medical Imaging (TMI), 2021, 40(9): 2463-2476.
[6] Xin Deng and Pier Luigi Dragotti, “ Deep Convolutional Neural Network for Multi-modal image restoration and fusion”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)，2020.
[5] Pingfan Song, Xin Deng (共一), Joao F.C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, and Miguel Rodrigues, “Multimodal Image Super resolution via Joint Sparse Representations induced by Coupled Dictionaries”, IEEE Transactions on Computational Imaging (TCI), vol 6，pp 57-72, 2020.
[4] Xin Deng and Pier Luigi Dragotti, “Deep Coupled ISTA Network for Multi-modal Image Super-resolution”, IEEE Transactions on Image Processing (TIP), vol.29, pp 1683 –1698, 2019.
[3 Xin Deng, Ren Yang, Mai Xu and Pier Luigi Dragotti, “Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-resolution”, IEEE International Conference on Computer Vision (ICCV) 2019, ORAL (计算机视觉领域顶级会议，CCF A类)
[2] Xin Deng, Pingfan Song, Miguel R. D. Rodrigues and Pier Luigi Dragotti, “RADAR: Robust Algorithm for Depth Image Super Resolution Based on FRI Theory and Multimodal Dictionary Learning”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019
[1] Xin Deng, “Enhancing Image Quality via Style Transfer for Single Image Super-Resolution”, IEEE Signal Processing Letters, vol. 25, pp 571-575, 2018.
获奖情况
获得伦敦帝国理工学院 Eryl Cadwallader Davies Prize （优秀博士论文奖），以及2021年度中国图象图形学学会石青云女科学家奖（青英组）。[1]