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。

【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.

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

  1. Efficient Deep Learning in Network Compression and Acceleration
    Shiming Ge. Chapter at IntechOpen Book 《Digital Systems》: 摘要 
  2. Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation
    Shiming Ge,Shengwei Zhao, Chenyu Li and Jia Li. IEEE Transactions on Image Processing: 2019 ,28(4) ,2051-2062 摘要 
  3. Blind Face Retrieval for Mobile Users
    Xin Jin, Shiming Ge*, Chenggen Song, Le Wu, and Hongbo Sun. Accepted by EAI International Conference on Robotic Sensor Networks (ROSENET): 2018
  4. Privacy Preserving Face Retrieval in the Cloud for Mobile Users
    Xin Jin, Shiming Ge*, Chenggen Song, and Le Wu. Accepted by EAI International Conference on Robotic Sensor Networks (ROSENET): 2018
  5. Occluded Face Recognition by Identity-Preserving Inpainting
    Chenyu Li, Shiming Ge*, Yingying Hua, Haolin Liu, Xin Jin. Accepted by The International Symposium on Artificial Intelligence and Robotics (ISAIR): 2018
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更新于:2019-01-20 15:56      累计访问量:11926

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