We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

Humans have used sketching to depict our visual world since prehistoric times. Even today,
sketching is possibly the only rendering technique readily available to all humans. This …

We present an image retrieval system for the interactive search of photo collections using
free-hand sketches depicting shape. We describe Gradient Field HOG (GF-HOG); an …

We introduce a benchmark for evaluating the performance of large-scale sketch-based
image retrieval systems. The necessary data are acquired in a controlled user study where …

This paper introduces a convolutional neural network (CNN) semantic re-ranking system to
enhance the performance of sketch-based image retrieval (SBIR). Distinguished from the …

The last decade has witnessed great interest in research on content-based image retrieval.
This has paved the way for a large number of new techniques and systems, and a growing …

We present ShadowDraw, a system for guiding the freeform drawing of objects. As the user
draws, ShadowDraw dynamically updates a shadow image underlying the user's strokes …

In this study, we present a weakly supervised approach that discovers the discriminative
structures of sketch images, given pairs of sketch images and web images. In contrast to …

Retrieving images to match with a hand-drawn sketch query is a highly desired feature,
especially with the popularity of devices with touch screens. Although query-by-sketch has …

We present an image retrieval system driven by free-hand sketched queries depicting
shape. We introduce Gradient Field HoG (GF-HOG) as a depiction invariant image …