Laibin Chang — accepted AI-conference papers

2026

InterLight: Leveraging Intrinsic Illumination Priors for Low-Light Image Enhancement

Ziqi Wang, Xu Zhang, Laibin Chang, Shi Chen, Jiaqi Ma, Huan Zhang

IJCAI 2026

Low-Light Image Enhancement (LLIE) has long been a challenging problem in low-level vision, as insufficient illumination often leads to low contrast, detail loss, and noise. Recent studies show that deep learning-based Retinex theory can effectively decouple illumination and reflectance. However, ex

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2025

WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration

Laibin Chang, Yunke Wang, Longxiang Deng, Bo Du, Chang Xu

AAAI 2025technical

Underwater salient object detection (USOD) plays a pivotal role in various vision-based marine exploration tasks. However, existing USOD techniques face the dilemma of object mislocalization and imprecise boundaries due to the complex underwater environment. The quality degradation of raw underwater…

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