3 accepted papers
Automatic colorization techniques often struggle with dual-character line art, particularly in areas such as color coordination between characters, handling complex scenes and interactions, and meeting personalized colorization requirements. To address these challenges, we introduce DuCol, a novel f…
Image semantic segmentation is ubiquitously used in scene understanding applications, such as AI Camera, which require high accuracy and efficiency. Deep learning has significantly advanced the state-of-the-art in semantic segmentation. However, many of recent semantic segmentation works only consid…
Computer-aided diagnosis of medical images requires thorough analysis of image details. For example, examining all cells enables fine-grained categorization of histopathological images. Traditional computational methods may have efficiency issues when performing such detailed analysis. In this paper…