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 …

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 …

We study the underexplored but fundamental vision problem of machine understanding of
abstract freehand scene sketches. We introduce a sketch encoder that results in …

The ability to semantically interpret hand-drawn line sketches, although very challenging,
can pave way for novel applications in multimedia. We propose SKETCHPARSE, the first …

In this paper, we tackle for the first time, the problem of self-supervised representation
learning for free-hand sketches. This importantly addresses a common problem faced by the …

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 …

Parsing sketches via semantic segmentation is attractive but challenging, because (i) free-
hand drawings are abstract with large variances in depicting objects due to different drawing …

Freehand sketching is an artistic expression frequently adopted in human-human and
human-computer communications. However, interpreting the sketching semantics remains …

Humans show high-level of abstraction capabilities in games that require quickly
communicating object information. They decompose the message content into multiple parts …

Deep Learning-based object category understanding is an important and active area of
research in Computer Vision. Most work in this area has predominantly focused on the …