3 papers
cs.CV2026
SAFE: Scene-Aware Feature Modulation for Color Constancy with Learned Color Space in Pure-Color Scenes
Yuan-Kang Lee, Kuan-Lin Chen, Chih-Heng Chang +1
Color constancy on pure-color scenes is challenging: when most pixels share a narrow band of hues, every chromaticity-based cue collapses to a single point and standard estimators…
cs.CV2026
BOCCHI: A More Realistic and Challenging Benchmark for Local Motion Blur Detection with MSDCT-UNet
Kuan-Lin Chen, Yuan-Kang Lee, Cheng-Yuan Chiang +1
Local motion blur detection requires pixel-level localization of blurred regions. Existing benchmarks let models rely on gradient shortcuts that fail to transfer. We introduce BOCC…
cs.CV2026
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 +1
Nighttime color constancy still remains a challenging problem in computational photography due to low-light noise and complex illumination conditions. We present RL-AWB, a novel fr…