Position: Home>Faculty
Teacher Details
  • Personal Information
    Ma HuiMin

    Ma HuiMing

    Department:
    |Department of Computer Science and Technology|
    Professional Title:
    Professor  
    Position:
    Deputy Dean of the Institute of Artificial Intelligence, Head of the Department of Internet of Things and Electronic Engineering
    Office:
    702A of MEE Building
    Tel:
    E-Mail:
    mhmpub@ustb.edu.cn
    Undergraduate Courses:
    Computer Architecture
    Graduate Courses:
    Intelligent image technology and system
    Research Directions:
    Image recognition and machine learning Computer vision and target recognition High dynamic complex environment confrontation simulation
    Academic And Social Part-Time:
    Vice Chairman and Secretary General of the Chinese Society of Image and Graphics, Chairman of the Board of Supervisors of the Beijing Society of Image and Graphics
  • Resume

    2019.10 ~ present, School of Computer and Communication, University of Science and Technology Beijing, professor, doctoral tutor

    2001.8 ~ 2019.9 Department of Electronic Engineering, Tsinghua University, associate professor, doctoral tutor

    2011.3 ~ 2011.9 University of Pittsburgh, visiting scholar

     

  • Representative Papers

    1. Xiang Wang, Huimin Ma, Shaodi You, Xi Li, Deep Clustering for Weakly-Supervised Semantic Segmentation in Complex Object-Clustered Scenes, NueroComputing, 2019.11

    2. Xi Li, Huimin Ma*, Weaklier Supervised Semantic Segmentation with, Only One Image Level Annotation per Category, IEEE Transactions on Image Processing (TIP), 2019.7

    3. Peng Zhou, Likan Zhan, Huimin Ma, Understanding others’ minds: Social inference in preschool children with autism spectrum disorder, Journal of Autism and Developmental Disorders, 2019.8

    4. Yidong Wang, Huimin Ma, Xiang Wang, Essential Element-Region driven Model in Image Recognition, NueroComputing, 2019.4

    5. Jinghuan Wen · Huimin Ma∗ · Xiong Luo, Deep Generative Smoke Simulator: Connecting Simulated and Real Data, The Visual Computer, 2019.7

    6. Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew Berneshawi, Huimin Ma, Sanja Fidler and Raquel Urtasun, 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection, IEEE Transactions on Pattern Analysis & Machine Intelligence (TPAMI), 2017.5

    7. Xiang Wang, Shaodi You, Xi Li, Huimin Ma, Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features, IEEE Conference on Computer Vision and Pattern Recognition (CVPR2018), Salt Lake City, USA 2018.6.18-22

    8. Zhichen Zhao, Huimin Ma, Shaodi You, Single Image Action Recognition using Semantic Part Actions, International Conference on Computer Vision (ICCV2017), 2017.10.22-29, Venics, Italy

    9. Xiaozhi Chen, Huimin Ma, Ji Wan, Bo li, Tian Xia, Multi-View 3D Object Detection Network for Autonomous Driving, IEEE Conference on Computer Vision and Pattern Recognition(CVPR2017), Jun., 2017, Honolulu, USA

    10. Xiaozhi Chen, Kaustav Kundu, Huimin Ma, Sanja Fidler, Raquel Urtasun, Monocular 3D Object Detection for Autonomous Driving, IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016),, Jun. 26-30, 2016, Las vegas, USA

     

  • Research Performance

    Vertical projects:

    1. Brain-inspired intelligence-brain dynamic cognitive neural mechanism: visual behavior cognition, special major project

    2. Zero, small sample learning-incomplete target recognition based on cognitive psychology, special project

    3. Research and development of automatic driving monitoring system based on human-vehicle-environment collaborative understanding, Beijing Science and Technology Commission project

    Machine vision-based environmental target detection and identification and driving status monitoring, evaluation and intention identification, sub-projects of the National Key R&D Program

    Horizontal projects:

    1. Three-dimensional target recognition technology, Tongfang Vision

    2. High dynamic complex environment simulation research, China Shipbuilding Industry Corporation 710

     

  • Get Rewards/Patents

    In 2017 won the second prize of the Ministry of Education Technology Invention Award

    Won the first prize of Wu Wenjun artificial intelligence technology innovation in 2016

    Since 2015, he has won the first place in the evaluation of the world's largest automatic driving data set (KITTI) for many times.

    In 2010, won the Beijing March 8 Red Flag Medal

    8 approved patents

    The mental state evaluation method and system based on image cognition has been appraised by the Ministry of Education as "primitive innovation, reaching international leading level"

    GPU-based simulation method for high-performance and complex environment, which was recognized by the Ministry of Education as "the overall technology reaches the international advanced level"