With the development of Deep Neural Networks (DNNs), many efforts have been made to
handle medical image segmentation. Traditional methods such as nnUNet train specific …

When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the
captured photographs, affecting the photographs' visual quality. The main challenge in flare …

Lighting normalization is a crucial but underexplored restoration task with broad
applications. However, existing works often simplify this task within the context of shadow …

Abstract Camouflaged Object Detection (COD) remains a challenging task in computer
vision due to the difficulty of distinguishing highly similar targets from complex backgrounds …

Current low-light image enhancement (LLIE) techniques truly enhance luminance but have
limited exploration on another harmful factor of nighttime visibility, the glow effects with …

When capturing images under strong light sources at night, intense lens flare artifacts often
appear, significantly degrading visual quality and impacting downstream computer vision …

Scene text erasing (STE) aims to remove the text regions and inpaint those regions with
reasonable content in the image. It involves a potential task, ie, scene text segmentation, in …

Image restoration from regional degradation has long been an important and challenging
task. The key to contamination removal is recovering the contents of the corrupted regions …

High-intensity light sources in the scene can cause undesired internal reflections between
the multiple optical elements of lenses, resulting in loss of contrast and color change. This …

Intense light sources often produce flares in captured images at night, which deteriorates the
visual quality and negatively affects downstream applications. In order to train an effective …