Haijin Zeng

Ph.D candidate
Email: haijin.zeng@imec.be

IMEC & Ghent University
Location: St-Pietersnieuwstraat 41, B-9000 Gent, Belgium
News | Topic | Publications | Fundings | Services | Resources | Awards

Bio

I am a PhD candidate at IMEC and Ghent University, under Prof. Wilfried Philips. Prior to this, I received my Master's degree in Applied Mathematics from Northwest A&F University. My academic and research interests are focused on the field of Inverse Imaging Problems, which I am deeply passionate about.My research interests primarily focus on tensor completion, hyperspectral imaging, and low-level vision. In my work, I enjoy applying mathematics to develop novel methods for tackling image processing problems. I have published several papers on these topics in IEEE Transactions journals such as IEEE TNNLS, TMM, TGRS, TCI, among others.

News


Research Topic

I work in the field of computational imaging, and tensor theory. Currently, I specifically focus on the following research topics:

Publications

    DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model
    Z. Pan*, H. Zeng* and K. Zhang et al., [paper] (*Equal Contribution)
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR)



    Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
    H. Zeng, J. Cao, and Wilfried Philips et al., [paper]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR)



    Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor
    H. Zeng*, K. Feng*, and Wilfried Philips et al., [paper] (*Equal Contribution)
    Journal Under Review






    Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks
    K. Feng*, H. Zeng* and Y. Zhao et al., [paper] (*Equal Contribution)
    IEEE Transactions on Image Processing



    All of Low-rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising
    H. Zeng, and Wilfried Philips et al., [paper]
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

    Tensor Completion using Bilayer Multi-mode Low-rank Prior and Total Variation
    H. Zeng, S. Huang, Y. Chen et al., [paper]
    IEEE Transactions on Neural Networks and Learning Systems




    Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion
    H. Zeng, Jize Xue et al., [paper]
    IEEE Transactions on Multimedia

    Hyperspectral Image Restoration via Global $L_{1−2}$ Spatial-Spectral Total Variation Regularized Local Low-Rank Tensor Recovery
    H. Zeng, Jifeng Ning et al., [paper]
    IEEE Transactions on Geoscience and Remote Sensing



    Enhanced nonconvex low-rank approximation of tensor multi-modes for tensor completion
    H. Zeng, Yongyong Chen et al., [paper] [Code]
    IEEE Transactions on Computational Imaging





    Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation
    H. Zeng, Jifeng Ning et al., [paper]
    Signal Processing

    Hyperspectral Image Restoration via CNN Denoiser Prior Regularized Low-rank Tensor Recovery
    H. Zeng, Jifeng Ning et al., [paper] [Code]
    Computer Vision and Image Understanding





Membership

  • IEEE, Student Member

Fundings

  • BOF Special Research Fund, 2021-2025

Journal Reviewer

  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Geoscience and Remote Sensing (TGRS)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
  • IEEE Geoscience and Remote Sensing Letters (GRSL)
  • International Journal of Machine Learning and Cybernetics

Conference Reviewer

  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • European Conference on Computer Vision (ECCV)
  • ACM Multimedia (ACM MM)
  • IEEE Conference on Multimedia Expo (ICME)

Awards

  • 2023 imec PhD Excellence Award, imec, Two per year across all imec research institutes
  • Third place in ECCV 2022 Mobile Intelligent Photography and Imaging (MIPI) challenge, ECCV
  • Top-Ten Distinguished Graduate Student , 10 / 2400+, Northwest A&F University
  • Outstanding Graduate Student, Shaanxi Province
  • Outstanding Graduates Award, Top 10%, Northwest A&F University
  • National Scholarship, < 2%, Ministry of Education
  • Outstanding Master's Thesis, Northwest A&F University
  • National second prize, of "National Post-Graduate Mathematical Contest in Modeling (GMCM)"
  • National third prize, of "National Post-Graduate Mathematical Contest in Modeling (GMCM)"
  • First prize (mathematics category) of 2017 "Chinese Mathematics Competitions (CMC)"

More about Me

    I'm a badminton enthusiast, and I also find joy in middle to long-distance running.