Cross-domain images have been witnessed in an increasing number of applications. This
new trend triggers demands for cross-domain image retrieval (CDIR), which finds images in …

Sketchformer is a novel transformer-based representation for encoding free-hand sketches
input in a vector form, ie as a sequence of strokes. Sketchformer effectively addresses …

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 …

Deep Learning methods are currently the state-of-the-art in many Computer Vision and
Image Processing problems, in particular image classification. After years of intensive …

Due to the succinct nature of free-hand sketch drawings, sketch-based image retrieval
(SBIR) has abundant practical use cases in consumer electronics. However, SBIR remains a …

Many vision problems require matching images of object instances across different domains.
These include fine-grained sketch-based image retrieval (FG-SBIR) and Person Re …

We cast shape matching as metric learning with convolutional networks. We break the end-
to-end process of image representation into two parts. Firstly, well established efficient …

The problem of fine-grained sketch-based image retrieval (FG-SBIR) is defined and
investigated in this paper. In FG-SBIR, free-hand human sketch images are used as queries …

LiveSketch is a novel algorithm for searching large image collections using hand-sketched
queries. LiveSketch tackles the inherent ambiguity of sketch search by creating visual …

We propose a novel measure of visual similarity for image retrieval that incorporates both
structural and aesthetic (style) constraints. Our algorithm accepts a query as sketched …