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References (32)

[1]
A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation
2025Puzhen Wu, Hexin Dong et al.
[2]
AMD-Mamba: A Phenotype-Aware Multi-Modal Framework for Robust AMD Prognosis
2025Puzhen Wu, Mingquan Lin et al.
[3]
LightLLIE: Lightweight Low-Light Image Enhancement via Dual Attention and Re-parameterization
2025Xi Wang, Quan Zheng
[4]
Towards Understanding Camera Motions in Any Video
2025Zhiqiu Lin, Siyuan Cen et al.
[5]
Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration
2025Jinjiang You, Hewei Wang et al.
[6]
Revitalize Supervised Low-Light Image Enhancer: Learning Source-Free Fast Scene Adaptation
2025Xi Wang, Quan Zheng
[7]
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models
2024Hai Jiang, Ao Luo et al.
[8]
Color Shift Estimation-and-Correction for Image Enhancement
2024Yiyu Li, Ke Xu et al.
[9]
Region-Aware Exposure Consistency Network for Mixed Exposure Correction
2024Jin Liu, Huiyuan Fu et al.
[10]
VMamba: Visual State Space Model
2024Yue Liu, Yunjie Tian et al.
[11]
Unsupervised Exposure Correction
2024Ruodai Cui, Li Niu et al.
[12]
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
2023Albert Gu, Tri Dao
[13]
Fast Segment Anything
2023Xu Zhao, Wen-Yan Ding et al.
[14]
Zero-shot Adaptive Low Light Enhancement with Retinex Decomposition and Hybrid Curve Estimation
2023Yuping Xia, Fanjiang Xu et al.
[15]
Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances
2023Zhenqi Fu, Yan Yang et al.
[16]
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
2023Yuhui Wu, Chen Pan et al.
[17]
Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
2023Zhexin Liang, Chongyi Li et al.
[18]
Implicit Neural Representation for Cooperative Low-light Image Enhancement
2023Shuzhou Yang, Moxuan Ding et al.
[19]
Exposure-Consistency Representation Learning for Exposure Correction
2022Jie Huang, Man Zhou et al.
[20]
PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement
2022Hue Nguyen, Diep Tran et al.

Showing 20 of 32 references

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