• Paper Acceptance Our paper RL-AWB is accepted to ECCV 2026! See you in Malmö!

  2026-06-18
• Paper Acceptance One research paper is accpeted to IEEE APCCAS 2025!

  2025-08-15
• Career Update Start a new position as an Image Quality Algorithm Engineer at MediaTek Inc.

  2025-03-15
• Conference Award Our presentation is selected as the best in Advanced Image Processing Session at IEEE GCCE 2024!

  2024-11-01
• Paper Acceptance One research paper is accpeted to IEEE GCCE 2024!

  2024-07-29
• Conference Award Our presentation is selected as the best in Image Analysis Session at IEEE ICISPC 2024!

  2024-07-20
• Career Update Start a new position as an Camera Imaging Engineer Intern at Logitech.

  2024-07-01
• Paper Acceptance One research paper is accpeted to IEEE ICISPC 2024!

  2024-03-29
• Paper Acceptance Three research papers are accpeted to ICGSP 2024!"

  2024-03-01
• Career Update Start a new position as an Image Processing Engineer Intern at Robert Bosch GmbH.

  2023-04-15

Research

• 
  RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes

  Yuan-Kang Lee , Kuan-Lin Chen , Chia-Che Chang , Yu-Lun Liu

  ECCV 2026

  Project Page arXiv Code Dataset

  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.

• 
  FRIEREN: A Lightweight System for Face Resizing Image Detail Quality Evaluation via Robust Estimation of Image Naturalness

  Yuan-Kang Lee , Kuan-Lin Chen , Jian-Jiun Ding

  IEEE APCCAS 2025

  Project Page Paper

  FRIEREN, a novel no-reference image quality assessment, effectively and accurately evaluates the face detail quality scaled by different interpolations with low computational complexity.