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
- [2024.02] Papers are accepted by CVPR 2024!
- [2023.11] I have been honored as the recipient of 2023 imec PhD Excellence Award!
- [2023.07] One paper is accepted by IEEE JSTARS
- [2023.04] One paper is accepted by IEEE TNNLS
- [2022.10] Our solution is ranked 3rd place in ECCV 2022 MIPI challenge ECCV 2022
- [2022.09] One paper is accepted by IEEE TMM
Research Topic
I work in the field of computational imaging, and tensor theory. Currently, I specifically focus on the following research topics:
- Image Processing : RGB Image, Spectral Image
- Computational Imaging : MSFA Imaging, Camera Processing Pipeline
- Tensor Completion: Low-Rank Tensor Representation, Model-Data-Driven
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
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.