2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2026
IDM-Net: A Lightweight Illumination-Decoupled Modulation Network for Low-Light Image Enhancement
Cheng-Yen Hsiao, Jing-Ming Guo
Low-light image enhancement (LLIE) remains challenging for lightweight models because illumination restoration and color fidelity are difficult to optimize simultaneously in the RG…
cs.CV2025
EfficienT-HDR: An Efficient Transformer-Based Framework via Multi-Exposure Fusion for HDR Reconstruction
Yu-Shen Huang, Tzu-Han Chen, Cheng-Yen Hsiao +1
Achieving high-quality High Dynamic Range (HDR) imaging on resource-constrained edge devices is a critical challenge in computer vision, as its performance directly impacts downstr…
eess.IV2024★ 2 cited
Rethinking Theoretical Illumination for Efficient Low-Light Image Enhancement
Shyang-En Weng, Cheng-Yen Hsiao, Li-Wei Lu +4
Enhancing low-light images remains a critical challenge in computer vision, as does designing lightweight models for edge devices that can handle the computational demands of deep…