Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in
over 200 countries, influencing billions of humans. To control the infection, identifying and …

This paper presents an unpaired method for creating line drawings from photographs.
Current methods often rely on high quality paired datasets to generate line drawings …

We focus on a fundamental task of detecting meaningful line structures, aka, semantic line,
in natural scenes. Many previous methods regard this problem as a special case of object …

Existing image inpainting algorithms based on neural network models are affected by
structural distortions and blurred textures on visible connectivity. As a result, overfitting and …

Salient object segmentation, edge detection, and skeleton extraction are three contrasting
low-level pixel-wise vision problems, where existing works mostly focused on designing …

Recent progress on salient object detection mainly aims at exploiting how to effectively
integrate multiscale convolutional features in convolutional neural networks (CNNs). Many …

In this paper, we identify and address a serious design bias of existing salient object
detection (SOD) datasets, which unrealistically assume that each image should contain at …

Since its inception in 2015, Style Transfer has focused on texturing a content image using an
art exemplar. Recently, the geometric changes that artists make have been acknowledged …

To provide semantic image style transfer results which are consistent with human
perception, transferring styles of semantic regions of the style image to their corresponding …

Recently, neural style transfer has become a popular task in both academic research and
industrial applications. Although the existing methods made great progress in terms of …