Guangqian Guo  

Ph.D. Student at Northwestern Polytechnical University.


Address: 310, Aerospace Building 6, Youyi Campus, Northwestern Polytechnical University (西北工业大学友谊校区航天6号楼310).

Email: guogq21@mail.nwpu.edu.cn .

Biography

I am currently a second-year Ph.D. student at the Unmanned Systems Technology Research Institute, Northwestern Polytechnical University (NWPU). Earlier, I received my B.S. degree in 2021 and was recommended for admission to NWPU. I was accepted into the combined Master's and Ph.D. program (硕博连读). The outline of my experience is as follows:

  • 03/2023--Present: Ph.D., Top 10%, at Northwestern Polytechnical University, Xi'an, China.
  • 09/2021--03/2023: M.S., Top 10%, at Northwestern Polytechnical University, Xi'an, China.
  • 09/2017--07/2021: B.S., Top 1, at Shannxi University of Science and Technology, Xi'an, China.


    • My research interests include visual perception and weakly-supervised learning, specifically for Tiny Object Detection, and Weakly/Point-supervised Object Detection. More recently, I mainly focus on the following topics:

  • Vision-Language Model.
  • Vision Foundation Model.
  • Referring Image Segmentation.
  • Non-salient Scene Understanding.

    • Recent News

  • 04/2024 I have one conference paper (first author) accepted by IJCAI-24 (CCF-A).
  • 02/2024 I have one journal paper (co-first author) accepted by TGRS (中科院 Q1, CCF-B, IF=8.2).
  • 05/2023 I have one journal paper (first author) accepted by TCSVT (中科院 Q1, CCF-B, IF=8.4).
  • 01/2023 I have one journal paper accepted by TNNLS (中科院 Q1, CCF-B, IF=10.4).

    • Publications

    Guangqian Guo, Dian Shao, Chenguang Zhu, Sha Meng, Xuan Wang, Shan Gao
    P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and Segmentation
    INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI), 2024
    Guangqian Guo, Pengfei Chen, Xuehui Yu, Zhenjun Han, Qixiang Ye, Shan Gao
    HANet: Save the Tiny, Save the All: Hierarchical Activation Network for Tiny Object Detection
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
    *Chaowei Wang, *Guangqian Guo, Chang Liu, Dian Shao, Shan Gao
    Effective Rotate: Learning Rotation-robust Prototype for Aerial Object Detection
    * co-first author
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
    Shan Gao (Ph.D. advisor), *Guangqian Guo, Hanqiao Huang, C. L. Philip Chen
    Go deep or broad? Exploit hybrid network architecture for weakly supervised object classification and localization
    * student first author
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
    Shan Gao, Guangqian Guo, C. L. Philip Chen
    Event-Based Incremental Broad Learning System for Object Classification
    IEEE International Conference on Computer Vision Workshop (ICCVW), 2019

    Submissions

  • I have three papers submitted to ECCV 2024 (one as the first author), 03/2024.

    • Awards

  • The First Prize Scholarship for Ph.D. of Northwestern Polytechnical University, 2023
  • Outstanding Graduate Student of Northwestern Polytechnical University, 2022
  • The First Prize Scholarship for M.S of Northwestern Polytechnical University, 2021
  • Outstanding Graduates of Colleges and Universities in Shaanxi Province, 2021
  • National Encouragement scholarship, 2019, 2020
  • National Scholarship, 2018
  • The Third Prize of National English Competition, 2018, 2019
  • The Third Prize of the Chinese Mathematics Competition, 2018