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    徐邁 (教授)

    教授 博士生導師 碩士生導師

    性別:男

    出生年月:1981-02-08

    畢業院校:Imperial College London

    所在單位:電子信息工程學院

    辦公地點:北航 IRC 403

    聯系方式:82314663

    Email:

    個人簡歷

    教育部青年長江學者,中國圖像圖形學學會青工委副主任。2016年獲教育部霍英東青年基金資助,2017年獲人工智能學會技術發明一等獎(第二完成人),2018年獲中國電子學會優秀科技工作者,2019年獲國家優秀青年基金、2020年獲北京市杰出青年基金、教育部技術發明一等獎(第一完成人),2021年獲中國計算機學會杰出演講者榮譽。研究興趣為圖像處理、計算機視覺與人工智能、及在視頻壓縮與通信、生物醫學工程領域的應用。學術方面:近五年,在IJCV、IEEE TPAMI、JSAC、TIP、TMI、JSTSP、TCSVT等國際頂級期刊及CVPR、ICCV、ECCV、AAAI、DCC、ACM MM等頂級會議上發表論文100余篇(均為SCI/EI檢索),其中SCI檢索60+篇(JCR1區50+篇,IEEE期刊論文40+篇),谷歌引用3千余次,SCI他引千余次,多篇論文入選ESI高被引論文/熱點論文。獲IEEE視頻處理領域頂級期刊IEEE TCSVT最佳論文獎提名1次,獲IEEE國際會議最佳論文獎3次,會議最佳論文提名1項。作為負責人承擔項目10余項,包括國家自然科學基金首批原創探索項目、優青項目、2項面上項目、青年項目,軍委科技委創新特區項目、863項目3項。擔任圖像處理領域頂級期刊IEEE TIP編委(Associate Editor)、IEEE TMM編委(Associate Editor)、信號處理領域權威期刊IEEE J-STSP的首席客座編委(Lead Guest Editor)。2013年起承擔本科生“數字圖像處理”及研究生“機器學習”、“科技論文寫作”教學工作,2014年獲北京航空航天大學“我愛我師”十佳教師獎。指導的本科生獲北航“金質獎章”/“沈元獎章”2人(北航本科生最高榮譽),北航優秀本科畢業設計3人次。指導的研究生獲中國電子學會優秀碩士論文獎2項、提名獎1項,北航“研究生十佳”4人(北航研究生最高榮譽)、提名1人,北航優秀碩士畢業論文3人,國家獎學金9人。主頁:http://www.buaamc2.net/
     
    近三年,二十篇代表性論文(2018年以來)

    [20] Xin Deng; Wenzhe Yang, Ren Yang, Mai Xu*; Enpeng Liu; Qianhan Feng; Radu Timofte: Deep Homography for Efficient Stereo Image Compression,the Proceeding of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral, 2021.

    [19] Xin Deng, Yutong Zhang, Mai Xu*, Shuanghang Gu, Yiping Duan, Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution, IEEE Transactions on Image Processing, Early Access, 2021.

    [18] Mai Xu*, Li Yang, Xiaoming Tao, Yiping Duan, Zulin Wang, Saliency Prediction on Omnidirectional Image with Generative Adversarial Imitation Learning, IEEE Transactions on Image Processing, Early Access, 2021.

    [17] Mai Xu, Lai Jiang, Chen Li, Zulin Wang, Xiaoming Tao*, Viewport-based CNN: A Multi-task Approach for Assessing 360° Video Quality, IEEE Transactions on Pattern Analysis and Machine Intelligence, Early Access, 2020.

    [16] Lai Jiang, Mai Xu*, Zulin Wang, Leonid Sigal, DeepVS2.0: A Saliency-Structured Deep Learning Method for Predicting Dynamic Visual Attention, International Journal of Computer Vision, Early Access, 2020.

    [15] Mai Xu, Chen Li, Shanyi Zhang, Patrick Le Callet, State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression, IEEE Journal of Selected Topics on Signal Processing, 14(1), 2020.

    [14] Zhenyu Guan; Qunliang Xing; Mai Xu*; Ren Yang; Tie Liu; Zulin Wang: MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video, IEEE Transactions on Pattern Analysis and Machine Intelligence, Early Access, 2019.

    [13] Xiaoming Tao; Zhao Chen; Mai Xu*; Jianhua Lu, Rebuffering Optimization for DASH via Pricing and EEG-Based QoE Modeling, IEEE Journal on Selected Areas in Communications, 37(7), 2019.

    [12] Liu Li, Mai Xu*, Hanruo Liu, Yang Li, Xiang Fan, Zulin Wang and Lingli Wang, A Large-scale Database and a CNN Model for Attention Based Glaucoma Detection, IEEE Transactions on Medical Imaging, Early Access, 2019.

    [11] Tianyi Li, Mai Xu*, Ce Zhu, Ren Yang, Zulin Wang and Zhenyu Guan, A Deep Learning Approach for Multi-Frame In-Loop Filter of HEVC, IEEE Transactions on Image Processing, Early Access, 2019.

    [10] Chen Li; Mai Xu*; Lai Jiang; Shanyi Zhang; Xiaoming Tao: Viewport Proposal CNN for 360° Video Quality Assessment,the Proceeding of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

    [9] Xu, Mai*; Song, Yuhang; Wang, Jianyi; Qiao, MingLang; Huo, Liangyu; Wang, Zulin, Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018. (SCI, Q1)
    [8] Mai Xu,Yufan Liu; Haoji Hu; Feng He, A Deep Learning Approach Find Who to Look at: Turning from Action to Saliency, IEEE Transactions on Image Processing, 2018. (SCI, Q1)
    [7] Mai Xu*, Tianyi Li; Zulin Wang; Xin Deng; Zhenyu Guan, Reducing Complexity of HEVC: A Deep Learning Approach, IEEE Transactions on Image Processing, 2018. (SCI, Q1)

    [6] Mai Xu; Chen Li; Zulin Wang; Zhenyu Guan; Assessing Visual Quality of Omnidirectional Videos, IEEE Transactions on Circuits and Systems for Video Technology, Early Access, 2018.

    [5] Jingyao Xu, Mai Xu*, Yanan Wei, Zulin Wang and Zhengyu Guan, Fast H.264 to HEVC Transcoding: A Deep Learning Method, IEEE Transactions on Multimedia, 2018. (SCI, Q1)
    [4] Ren Yang,Mai Xu*,Zulin Wang,Tianyi Li, Multi-Frame Quality Enhancement for Compressed Video, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (
    計算機視覺領域頂級會議,CCF A)
    [3] Lai Jiang, Mai Xu*, Tie Liu, Minglang Qiao and Zulin Wang, Deepvs: A deep learning based video saliency prediction approach, European Conference on Computer Vision (ECCV), 2018. (
    計算機視覺領域頂級會議)
    [2] Shengxi Li, Mai Xu*, Yun Ren and Zulin Wang, Closed-form Optimization on Saliency-guided Image Compression for HEVC-MSP, IEEE Transactions on Multimedia, 2018. (SCI, Q1)
    [1] Ren Yang; Mai Xu*; Tie Liu; Zhengyu Guan, Enhancing quality for HEVC compressed videos, IEEE Transactions on Circuits and Systems for Video Technology, 2018. (SCI, Q1)

     

     




     

     

     


    研究方向

  • [1]   視頻編碼、視頻通信、計算機視覺、機器學習、人工智能

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