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

CAD modeling, despite being the industry-standard, remains restricted to usage by skilled
practitioners due to two key barriers. First, the user must be able to mentally parse a final …

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 …

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

We introduce SketchGNN, a convolutional graph neural network for semantic segmentation
and labeling of freehand vector sketches. We treat an input stroke-based sketch as a graph …

Sketch is a well-researched topic in the vision community by now. Sketch semantic
segmentation in particular, serves as a fundamental step towards finer-level sketch …

This paper, for the very first time, introduces human sketches to the landscape of XAI
(Explainable Artificial Intelligence). We argue that sketch as a" human-centred" data form …

What makes free-hand sketches appealing for humans lies with its capability as a universal
tool to depict the visual world. Such flexibility at human ease, however, introduces abstract …

To perceive and create a whole from parts is a prime trait of the human visual system. In this
paper, we teach machines to perform a similar task by recreating a vectorised human sketch …

We present the first one-shot personalized sketch segmentation method. We aim to segment
all sketches belonging to the same category provisioned with a single sketch with a given …