Haijin Zeng
12 papers · 2024–2026 · 5 conferences · across top CS/AI conferences
Achievements
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(10)
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(53)
Conferences
CVPR (6)
AAAI (2)
ECCV (2)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
image reconstruction
(4)
snapshot compressive imaging
(4)
image restoration
(4)
diffusion model
(3)
self-supervised learning
(2)
image demosaicing
(2)
transformer architecture
(2)
hyperspectral image
(2)
channel attention
(1)
low-rank approximation
(1)
zero-shot learning
(1)
low-rank recovery
(1)
spectral analysis
(1)
proximal gradient descent
(1)
image denoising
(1)
mamba architecture
(1)
tensor decomposition
(1)
inverse problem
(1)
state-space model
(1)
state space model
(1)
Papers
Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging
AAAI 2026
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
AAAI 2025
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing
CVPR 2025
Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks
CVPR 2025
Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement
ICLR 2025
Dual Prior Unfolding for Snapshot Compressive Imaging
CVPR 2024
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
NIPS 2024
Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
CVPR 2024
Wavelength-Embedding-guided Filter-Array Transformer for Spectral Demosaicing
ECCV 2024
SAH-SCI: Self-Supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging
ECCV 2024
Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification
CVPR 2024
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model
CVPR 2024