Shiming Ge, 葛仕明

Professor 
Education: BS and PhD (Univ. of Sci. & Tech. of China, Hefei)
Research Interests: Computer Vision, Deep Learning, and AI Security
Contact
Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China
Address: 北京市海淀区杏石口路益园文创基地
Email: geshiming@iie.ac.cn
Laboratory : Intelligent Multimedia Security Group

Biography

Shiming Ge is a Professor with the Institute of Information Engineering, Chinese Academy of Sciences. He is also the member of Youth Innovation Promotion Association, Chinese Academy of Sciences. Prior to that, he was a senior researcher and project manager in Shanda Innovations, a researcher in Samsung Electronics and Nokia Research Center. He received the B.S. and Ph.D degrees both in Electronic Engineering from the University of Science and Technology of China (USTC) in 2003 and 2008, respectively. His research mainly focuses on computer vision, data analysis, machine learning and AI security, especially efficient learning solutions towards scalable applications. He is a senior member of IEEE, CSIG and CCF. (Lab Website: https://imsg.ac.cn/).

葛仕明，博士，中国科学院信息工程研究所博士生导师，IEEE 高级会员，中国计算机学会高级会员，中国图象图形学学会高级会员。分别于 2003 年和 2008 年获得中国科学技术大学学士和博士学位， 主要研究方向为计算机视觉、深度学习和人工智能安全。曾先后任职于诺基亚研究院、三星研究院和盛大创新院，从事技术研发和项目管理工作，曾负责多个企业重点项目。2013 年通过高层次人才引进进入中国科学院信息工程研究所信息安全国家重点实验室工作，2014 年获得首届所优秀引进青年人才。 近年来，主持或参与国家重点研发计划、国家自然科学基金、北京市自然科学基金、北京市科委课题、中国科学院战略性先导专项、企业横向等课题 10 多项，研究成果在安防、国防、网络、工业等重要领域应用。获得 2019 年吴文俊人工智能科学技术奖技术发明二等奖，入选中国科学院青年创新促进会。在 IEEE TIP、TNNLS、TCSVT 和 CVPR、AAAI、ACM MM 等国际著名期刊和会议上发表论文80余篇。担任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、中国图象图形学学会视觉大数据和机器视觉专业委员、全国信标委图形图像分委会计算机视觉工作组委员。担任ICML、NeurIPS、AAAI、IJCAI、ICLR、CVPR、ACM MM、ECCV等国际顶级会议和期刊审稿人。多年主讲《深度学习基础及应用》、《人工智能安全》等课程；培养学生中，2名获得北京市优秀毕业生、1名获得中国科学院院长奖。

Selected Publications

• Shiming Ge, Jia Li, Qiting Ye, and Zhao Luo. Detecting Masked Faces in the Wild with LLE-CNNs. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
• Shiming Ge, Shengwei Zhao, Chenyu Li, and Jia Li. Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation. IEEE Transactions on Image Processing (TIP), 2018.
• Shiming Ge, Zhao Luo, Chunhui Zhang, Yingying Hua, and Dacheng Tao. Distilling Channels for Efficient Deep Tracking. IEEE Transactions on Image Processing (TIP), 2019.
• Shiming Ge, Shengwei Zhao, Chenyu Li, Yu Zhang, and Jia Li. Efficient Low-Resolution Face Recognition via Bridge Distillation. IEEE Transactions on Image Processing (TIP), 2020.
• Shiming Ge, Chunhui Zhang, Shikun Li, Dan Zeng, and Dacheng Tao. Cascaded Correlation Refinement for Robust Deep Tracking. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.
• Shiming Ge, Chenyu Li, Shengwei Zhao, and Dan Zeng. Occluded Face Recognition in the Wild by Identity-Diversity Inpainting. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.
• Shiming Ge, Kangkai Zhang, Haolin Liu, Yingying Hua, Shengwei Zhao, Xin Jin, and Hao Wen. Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition. In AAAI Conference on Artificial Intelligence (AAAI), 2020.
• Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen, Tengfei Liu, and Weiqiang Wang. Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. In AAAI Conference on Artificial Intelligence (AAAI), 2020.
• Shiming Ge, Shengwei Zhao, Xindi Gao, and Jia Li. Fewer-Shots and Lower-Resolutions: Towards Ultrafast Face Recognition in the Wild. In ACM International Conference on Multimedia (MM), 2019.
• Yingying Hua, Shiming Ge, Xindi Gao, Xin Jin, and Dan Zeng. Defending Against Adversarial Examples via Soft Decision Trees Embedding. In ACM International Conference on Multimedia (MM), 2019.
• Chenyu Li, Shiming Ge, Daichi Zhang, and Jia Li. Look Through Masks: Towards Masked Face Recognition with De-Occlusion Completion. In ACM International Conference on Multimedia (MM), 2020.
• Chunhui Zhang, Shiming Ge, Kangkai Zhang, and Dan Zeng. Accurate UAV Tracking with Distance-Injected Overlap Maximization. In ACM International Conference on Multimedia (MM), 2020.
• Daichi Zhang, Chenyu Li, Fanzhao Lin, Dan Zeng, and Shiming Ge*. Detecting Deepfake Videos with Temporal Dropout 3DCNN. In International Joint Conference on Artificial Intelligence (IJCAI), 2021.

Selected Honors and Awards

• 2020年，反无人机国际挑战赛冠军(Anti-UAV Challenge@CVPR2020)
• 2019年，无人机视觉国际挑战赛单物体跟踪任务冠军(VisDrone2019-Single Object Tracking@ICCV2019)
• 2019年，吴文俊人工智能技术发明二等奖
• 2019年，EAI International Conference on Robotic Sensor Networks(ROSENET),  最佳展示论文“Double-Blinded Finder: A Two-Side Privacy-Preserving Approach for Finding Missing Children”
• 2018年，中国科学院青年创新促进会成员
• 2016年，入围全国第一届特定音视频技术系统挑战赛（特定标识检测、视频拷贝检测两项视觉任务）
• 2014年，研究所首届引进优秀青年人才