Xiongjun Guan

I am a third year Ph.D student in i-VisionGroup in the Department of Automation at Tsinghua University, advised by Prof. Jianjiang Feng .
In 2021, I received my B.S. degree from the Department of Automation and a minor from Academy of Arts and Design , Tsinghua University.

I have a broad interest in computer vision and pattern recognition. At present, my research mainly focus on fingerprint recoginition.

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News

  • 2024-06: 1 paper on latent fingerprint desctiptor is accepted by IJCB 2024.
  • 2024-05: 1 paper on fingerprint dense registration is accepted by T-IFS.
  • 2023-07: 1 paper on fingerprint distortion rectification is accepted by T-IFS.
  • 2022-07: 1 paper on fingerprint distortion rectification is accepted by IJCB 2022.
  • Research

    * indicates equal contribution

    ▼ Preprints

    dise Joint Identity Verification and Pose Alignment for Partial Fingerprints
    Xiongjun Guan , ZhiyuPan , Jianjiang Feng , Jie Zhou
    IEEE Transactions on Information Forensics and Security (T-IFS), 2024
    (under review) [Code]

    A novel framework for joint partial fingerprint identity verification and pose alignment of partial fingerprint pairs is proposed, which utilizes a multi-task CNN-Transformer hybrid network and a pre-training task on enhancement.

    ▼ Publications

    dise Latent Fingerprint Matching via Dense Minutia Descriptor
    ZhiyuPan , Yongjie Duan , Xiongjun Guan , Jianjiang Feng , Jie Zhou
    International Joint Conference on Biometrics (IJCB), 2024
    [Paper] [Code]

    Latent fingerprint matching is a daunting task, primarily due to the poor quality of latent fingerprints. In this study, we propose a deep-learning based dense minutia descriptor (DMD) for latent fingerprint matching.

    dise Phase-aggregated Dual-branch Network for Efficient Fingerprint Dense Registration
    Xiongjun Guan , Jianjiang Feng , Jie Zhou
    IEEE Transactions on Information Forensics and Security (T-IFS), 2024
    [Paper] [Code]

    We propose a Phase-aggregated Dual-branch Registration Network to combine the strengths of traditional fingerprint dense registration methods and deep learning.

    dise Regression of Dense Distortion Field from a Single Fingerprint Image
    Xiongjun Guan , Yongjie Duan , Jianjiang Feng , Jie Zhou
    IEEE Transactions on Information Forensics and Security (T-IFS), 2023
    [Paper] [Code]

    We proposed an end-to-end network to directly estimate a dense distortion field instead of its low dimensional representation, from a single fingerprint.

    dise Direct Regression of Distortion Field from a Single Fingerprint Image
    Xiongjun Guan , Yongjie Duan , Jianjiang Feng , Jie Zhou
    International Joint Conference on Biometrics (IJCB), 2022
    Oral Presentation
    [Paper] [Code] [Slide]

    We proposed an end-to-end network to directly estimate a dense distortion field from a single fingerprint instead of its low dimensional representation.

    dise Pose-Specific 3D Fingerprint Unfolding
    Xiongjun Guan , Jianjiang Feng , Jie Zhou
    Chinese Conference on Biometric Recognition (CCBR), 2021
    Oral Presentation
    [Paper] [Slide]

    We proposed a visualization and pose-specific unfolding method for 3D fingerprints, which can improve the compatibility between 3D and 2D fingerprints in recognition.

    Honors and Awards

  • Silver Award for Social Practice of Ph.D Students, Tsinghua University, 2023
  • Comprehensive Excellence Award, Tsinghua University, 2022 & 2023
  • Excellent Graduates, Tsinghua University, 2021
  • Outstanding Graduates, Tsinghua University (Dept. of Automation), 2021
  • Academic Excellence Award, Tsinghua University, 2019 & 2020
  • 1st Prize in the 35th China Regional College Students Physics Competition, 2018
  • Gold Medal in the 33th Chinese Physics Olympiad (Top 100 in the country), 2016
  • Teaching

  • Teaching Assistant, Programming Fundamentals, 2024 Spring Semester
  • Teaching Assistant, Interdisciplinary Research and Practice: Image Processing, 2023 Fall Semester
  • Teaching Assistant, Basic of Information Theory, 2023 Spring Semester
  • Teaching Assistant, Digital Image Processing, 2022 Fall Semester

  • © Xiongjun Guan | Last updated: Jul. 04, 2024