We introduce a framework that uses Generative Adversarial Networks (GANs) to study
cognitive properties like memorability. These attributes are of interest because we do not …

Understanding visual interestingness is a challenging task addressed by researchers in
various disciplines ranging from humanities and psychology to, more recently, computer …

We investigate whether additional photos beyond a single headshot makes a persona
profile more informative without confusing the end user. We conduct an eye-tracking …

The pixels in an image, and the objects, scenes, and actions that they compose, determine
whether an image will be memorable or forgettable. While memorability varies by image, it is …

The artistic style transfer of images aims to synthesise novel images by combining the
content of one image with the style of another, which is a long‐standing research topic and …

In this paper we address the problem of how to robustly train a ConvNet for regression, or
deep robust regression. Traditionally, deep regression employ the L2 loss function, known to …

In this paper, we present the Predicting Media Memorability task, which is running for the
second year at the MediaEval 2019 Benchmarking Initiative for Multimedia Evaluation …

When searching for suitable fonts for a digital graphic, users usually start with an ambiguous
thought. For example, they would look for fonts that are suitable for a personal web page or …

Creating impressive video content such as movies and advertisements is a very important
yet challenging task in business that requires both a sense of creativity and a lot of …

Memorability is considered to be an important characteristic of visual content, whereas for
advertisement and educational purposes it is often crucial. Despite numerous studies on …