Image Quality Research Engineer at MediaTek Inc.
I am currently an Image Quality Research Engineer at MediaTek Inc. I also serve as a Research Assistant in Computational Photograph Lab at National Yang Ming Chiao Tung University, supervised by Prof. Yu-Lun Liu. My research lies at the intersection of computational photography and low-level computer vision, with a dedicated focus on color constancy and image quality/aesthetic assessment. I received my Master’s degree from the Graduate Institute of Communication Engineering at National Taiwan University, advised by Prof. Jian-Jiun Ding.
I am eager to engage in collaborative research initiatives. Should you be interested in partnering with me, please do not hesitate to contact me.
arXiv 2026
We present SAFE, a novel color constancy framework for pure-color scenes with (1) a scene-aware feature modulation network and (2) the Learned Color Space (LCS) that directly addresses the chromaticity collapse problem when scene color distributions become too uniform.
arXiv 2026
We present BOCCHI, a real-captured local motion blur detection benchmark of 633 pixel-annotated images featuring textured blurred regions that defeat gradient-based shortcuts. We also propose MSDCT-UNet, a frequency-aware encoder–decoder that reads blur in the DCT domain via multi-scale DCT attention and FiLM modulation.
ECCV 2026
We present RL-AWB, a novel framework combining statistical methods with deep reinforcement learning for nighttime white balance. We also contribute LEVI, the first multi-sensor nighttime dataset for color constancy in this work.
IEEE APCCAS 2025
FRIEREN, a novel no-reference image quality assessment, effectively and accurately evaluates the face detail quality scaled by different interpolations with low computational complexity.
Implementation details of color and chroma difference algorithms in Imatest and iQ-Analyzer.