Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …

This paper provides an overview of some of the most relevant deep learning approaches to
pattern extraction and recognition in visual arts, particularly painting and drawing. Recent …

Measuring the human sense of place and quantifying the connections among the visual
features of the built environment that impact the human sense of place have long been of …

Our lives revolve around sharing experiences and memories with others. When different
people recount the same events, how similar are their underlying neural representations …

We address the challenge of sentiment analysis from visual content. In contrast to existing
methods which infer sentiment or emotion directly from visual low-level features, we propose …

An ongoing debate in the Visualization community concerns the role that visualization types
play in data understanding. In human cognition, understanding and memorability are …

The style of an image plays a significant role in how it is viewed, but style has received little
attention in computer vision research. We describe an approach to predicting style of …

Computer vision methods that quantify the perception of urban environment are increasingly
being used to study the relationship between a city's physical appearance and the behavior …

Social science literature has shown a strong connection between the visual appearance of a
city's neighborhoods and the behavior and health of its citizens. Yet, this research is limited …

What makes certain images more memorable than others? While much of memory research
has focused on participant effects, recent studies using a stimulus-centric perspective have …