葛仕明

中国科学院信息工程研究所 , 博士生导师
研究兴趣:计算机视觉深度学习人工智能安全

葛仕明,博士,中国科学院青年创新促进会成员,IEEE高级会员,中国计算机学会高级会员,中国图象图形学会高级会员,中国计算机学会计算机视觉和多媒体技术专业委员,中国人工智能学会模式识别和智能交互专业委员。分别在中国科学技术大学获得学士和博士学位,主要研究方向是计算机视觉、深度学习与人工智能安全。目前带领信息工程研究所智能多媒体安全小组,研究可解释的人工智能技术及应用,尤其关注信息缺失(信息不全、含噪音、缺标注、小样本等)条件下的视觉分析、理解、学习问题及其在现实领域上的应用,欢迎有志于从事人工智能、深度学习和计算机视觉的学生报考博士和硕士研究生。

【2019.05.05】One paper titled "Discriminative Multiview Nonnegative Matrix Factorization for Classification" is accepted by IEEE Access.

【2019.04.12】One paper titled "Double-Blinded Finder: A Two-Side Privacy-Preserving Approach for Finding Missing Children" is accepted by ROSENET 2019.

【2019.04.02】One paper titled "Robust Deep Tracking with Two-step Augmentation Discriminative Correlation Filters" is accepted by ICME 2019 (CCF-B).

【2019.01.23】One paper titled "Proposal Pyramid Networks for Fast Face Detection" is accepted by Information Sciences (SCI,CCF-B).

【2018.11.30】One paper titled "Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation" is accepted by IEEE Transactions on Image Processing.SCI,CCF-A).

【2018.11.05】One chapter titled "Efficient Deep Learning in Network Compression and Acceleration" has been published in an IntechOpen Book "Digital Systems"

  1. Discriminative Multiview Nonnegative Matrix Factorization for Classification
    Weihua Ou, Jianping Gou, Quan Zhou, Shiming Ge, and Fei Long. IEEE Access: 2019 ,7 ,60947 - 60956
  2. Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency
    Jia Li, Kui Fu, Shengwei Zhao, Shiming Ge*. arXiv:1904.04992: 2019
  3. Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
    Kui Fu, Jia Li, Yafei Song, Yu Zhang, Shiming Ge, Yonghong Tian. arXiv:1904.04449: 2019
  4. Robust Deep Tracking with Two-step Augmentation Discriminative Correlation Filters
    Chunhui Zhang, Shiming Ge*, Yingying Hua, Dan Zeng. ICME: 2019
  5. Proposal Pyramid Networks for Fast Face Detection
    Dan Zeng. Han Liu, Fan Zhao, Shiming Ge*, Wei Shen, and Zhijiang Zhang. Information Sciences: 2019
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更新于:2019-06-05 14:24      累计访问量:2784

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