There is more to images than their objective physical content: for example, advertisements
are created to persuade a viewer to take a certain action. We propose the novel problem of …

Comic character detection is becoming an exciting and growing research area in the domain
of machine learning. In this regard, recently, many methods are proposed to provide …

How much does a single image reveal about the environment it was taken in? In this paper,
we investigate how much of that information can be retrieved from a foreground object …

Darknet markets are online services behind Tor where cybercriminals trade illegal goods
and stolen datasets. In recent years, security analysts and law enforcement start to …

Egocentric cameras are being worn by an increasing number of users, among them many
security forces worldwide. GoPro cameras already penetrated the mass market, reporting …

The computer vision community has reached a point when it can start considering high-level
reasoning tasks such as the" communicative intents" of images, or in what light an image …

This paper is motivated from a young boy's capability to recognize an illustrator's style in a
totally different context. In the book" We are All Born Free"[1], composed of selected rights …

Deep neural networks have become a standard framework for image analytics. Besides the
traditional applications, such as object classification and detection, the latest studies have …

Computer vision systems currently lack the ability to reliably recognize artistically rendered
objects, especially when such data is limited. In this paper, we propose a method for …

Photography, like painting, allows artists to express themselves through their unique style. In
digital photography, this is achieved not only with the choice of the subject and the …