Haijin Zeng
Orcid: 0000-0003-0398-3316
According to our database1,
Haijin Zeng authored at least 53 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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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
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
CoRR, September, 2025
Lightweight Quad Bayer HybridEVS Demosaicing via State Space Augmented Cross-Attention.
CoRR, August, 2025
IEEE J. Biomed. Health Informatics, June, 2025
CoRR, March, 2025
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens., 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
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
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
IEEE Trans. Image Process., 2024
Spatial and Cluster Structural Prior-Guided Subspace Clustering for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 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
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
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
CoRR, 2023
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising.
CoRR, 2023
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
Proceedings of the Computer Vision - ECCV 2022 Workshops, 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
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