个人信息

姓  名: 李群 性  別: 导师类型: 硕士生导师
技术职称: 副教授 电子邮箱: liqun@njupt.edu.cn
学术型硕士招生学科: (081200)计算机科学与技术
专业型硕士招生类别(领域): (085404)计算机技术
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个人简介:

2013年毕业于北京邮电大学,获博士学位。曾赴UCR (University of California,Riverside,美国加2013年毕业于北京邮电大学,获博士学位。曾赴UCR University of CaliforniaRiverside,美国加州大学河滨分校)联合培养,师从IEEE Fellow Bir Bhanu教授。目前从事视觉问答、轻量级姿态估计、图像语义分割、人体行为识别和零样本学习等人工智能领域的研究工作,积极跟踪新涌现的人工智能领域的计算机视觉技术。近年来,以第一作者/通信作者在IEEE Transactions on MultimediaACM Transactions on Multimedia Computing, Communications, and ApplicationsInternational Joint Conference on Artificial Intelligence IJCAI2022)、Knowledge-based systems、软件学报、IEEE Signal Processing LettersIEEE International Conference on Image ProcessingInternational Joint Conference on Neural NetworksIJCNN2022)等国内外权威刊物和会议发表论文30余篇,以第一发明人授权相关发明专利6项,申请相关发明专利7项。目前,作为项目负责人主持国家自然科学基金面上项目1项,横向课题1项,主持结题国家自然科学基金青年项目1项,省部级项目1项,市厅级项目1项,产学研合作项目1项,横向课题1项,校级项目若干。

代表性成果:

[1] Qun Li, Ziyi Zhang, Fu Xiao*, Feng Zhang, Bir Bhanu. Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation. International Joint Conference on Artificial Intelligence (IJCAI), 2022: 1095-1101. (15%接收率, CCF推荐 A类会议).

[2] Qun Li, Ziyi Zhang, Feng Zhang, Fu Xiao*. HRNeXt: High-Resolution Context Network for Crowd Pose Estimation. IEEE Transactions on Multimedia, 2022. (CCF推荐B类期刊, 中科院一区,条件接收)

[3] Qun Li, Fu Xiao*, Bir Bhanu, Biyun Sheng, Richang Hong. Inner Knowledge-based Img2Doc Scheme for Visual Question Answering. ACM Transactions on Multimedia Computing, Communications, and Applications, 2021, 18(3): 76:1-76:21. (CCF推荐B类期刊)

[4] 李群, 肖甫*, 张子屹, 张锋, 李延超. 基于空时变换网络的视频摘要生成. 软件学报,2022, 33(9): 3195-3209. (国内一级学报)

[5] Qun Li, Fu Xiao*, Le An, Xianzhong Long, Xiaochun Sun. Semantic Concept Network and Deep Walk-based Visual Question Answering. ACM Transactions on Multimedia Computing, Communications, and Applications, 2019, 152s: 1-19. (CCF推荐B类期刊)

[6] Qun Li, Rui Yang, Fu Xiao*, Bir Bhanu, Feng Zhang. Attention-based anomaly detection in multiview surveillance videos. Knowledge-based systems, 2022, 252(5): 1-11. (中科院一区)



研究领域:

人工智能中的计算机视觉相关研究,包括但不限于视觉问答、姿态估计、语义分割、零样本学习和人体异常行为识别等。