Image colorization, as an essential problem in computer vision (CV), has attracted an
increasing amount of researchers attention in recent years, especially deep learning-based …

In recent years, computer science has made major advances in understanding drawing
behavior. Artificial intelligence, and more precisely deep learning, has displayed …

Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …

We advance sketch research to scenes with the first dataset of freehand scene sketches, FS-
COCO. With practical applications in mind, we collect sketches that convey scene content …

Human sketch has already proved its worth in various visual understanding tasks (eg,
retrieval, segmentation, image-captioning, etc). In this paper, we reveal a new trait of …

While semantic segmentation has seen tremendous improvements in the past, there are still
significant labeling efforts necessary and the problem of limited generalization to classes …

In this paper we explore the unique modality of sketch for explainability emphasising the
profound impact of human strokes compared to conventional pixel-oriented studies. Beyond …

Sketching is a powerful tool for creating abstract images that are sparse but meaningful.
Sketch understanding poses fundamental challenges for general-purpose vision algorithms …

In this paper, we extend scene understanding to include that of human sketch. The result is a
complete trilogy of scene representation from three diverse and complementary modalities …

In this paper, we explore open-domain sketch-to-photo translation, which aims to synthesize
a realistic photo from a freehand sketch with its class label, even if the sketches of that class …