Haijin Zeng

Orcid: 0000-0003-0398-3316

According to our database1, Haijin Zeng authored at least 53 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Agentic Flow Steering and Parallel Rollout Search for Spatially Grounded Text-to-Image Generation.
CoRR, March, 2026

HSI-VAR: Rethinking Hyperspectral Restoration through Spatial-Spectral Visual Autoregression.
CoRR, February, 2026

Vision-Language Controlled Deep Unfolding for Joint Medical Image Restoration and Segmentation.
CoRR, January, 2026

Deep LoRA-Unfolding Networks for Image Restoration.
IEEE Trans. Image Process., 2026

Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
SlowFast-SCI: Slow-Fast Deep Unfolding Learning for Spectral Compressive Imaging.
CoRR, September, 2025

Lightweight Quad Bayer HybridEVS Demosaicing via State Space Augmented Cross-Attention.
CoRR, August, 2025

Smooth Tensor Qatar Riyal Decomposition for Dynamic MRI Reconstruction.
IEEE J. Biomed. Health Informatics, June, 2025

Generative Model-Assisted Demosaicing for Cross-multispectral Cameras.
CoRR, March, 2025

Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens., 2025

Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025


Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

BrainCognizer: Brain Decoding with Human Visual Cognition Simulation for fMRI-to-Image Reconstruction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Gradient of White Matter Functional Variability via fALFF Differential Identifiability.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor.
Int. J. Comput. Vis., November, 2024

Tensor Completion Using Bilayer Multimode Low-Rank Prior and Total Variation.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Learnable Spatial-Spectral Transform-Based Tensor Nuclear Norm for Multi-Dimensional Visual Data Recovery.
IEEE Trans. Circuits Syst. Video Technol., May, 2024

Unsupervised Spectral Demosaicing With Lightweight Spectral Attention Networks.
IEEE Trans. Image Process., 2024

Spatial and Cluster Structural Prior-Guided Subspace Clustering for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2024

Efficient One-Step Diffusion Refinement for Snapshot Compressive Imaging.
CoRR, 2024

Empowering Snapshot Compressive Imaging: Spatial-Spectral State Space Model with Across-Scanning and Local Enhancement.
CoRR, 2024

LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Network.
CoRR, 2024

MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Wavelength-Embedding-Guided Filter-Array Transformer for Spectral Demosaicing.
Proceedings of the Computer Vision - ECCV 2024, 2024

SAH-SCI: Self-supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging.
Proceedings of the Computer Vision - ECCV 2024, 2024

Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dual Prior Unfolding for Snapshot Compressive Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024


DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images.
Remote. Sens., June, 2023

Asymmetry total variation and framelet regularized nonconvex low-rank tensor completion.
Signal Process., May, 2023

Multimodal Core Tensor Factorization and its Applications to Low-Rank Tensor Completion.
IEEE Trans. Multim., 2023

Generalized Nonconvex Low-Rank Tensor Representation for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks.
CoRR, 2023

Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising.
CoRR, 2023

MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing.
CoRR, 2023

Research based on improved AD-Census stereo matching algorithm.
Proceedings of the 3rd International Conference on Bioinformatics and Intelligent Computing, 2023

2022
Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising.
CoRR, 2022


2021
Hyperspectral Image Restoration via Global L<sub>1-2</sub> Spatial-Spectral Total Variation Regularized Local Low-Rank Tensor Recovery.
IEEE Trans. Geosci. Remote. Sens., 2021

Enhanced Nonconvex Low-Rank Approximation of Tensor Multi-Modes for Tensor Completion.
IEEE Trans. Computational Imaging, 2021

Hyperspectral image denoising via global spatial-spectral total variation regularized nonconvex local low-rank tensor approximation.
Signal Process., 2021

2020
Hyperspectral image restoration via CNN denoiser prior regularized low-rank tensor recovery.
Comput. Vis. Image Underst., 2020

Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion.
CoRR, 2020

Enhanced nonconvex low-rank representation for tensor completion.
CoRR, 2020

Tensor completion using enhanced multiple modes low-rank prior and total variation.
CoRR, 2020

Hyperspectral Image Denoising via Combined Non-Local Self-Similarity and Local Low-Rank Regularization.
IEEE Access, 2020

Hyperspectral Image Restoration via Global Total Variation Regularized Local Nonconvex Low-Rank Matrix Approximation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020


  Loading...