Objective Recent advances in body dysmorphic disorder (BDD) have explored abnormal
visual processing, yet it is unclear how this relates to treatment. The aim of this study was to …

Recent advancement of remote sensing technologies has brought in accurate, dense, and
inexpensive city-scale Light Detection And Ranging (LiDAR) point clouds, which can be …

How and which aspects of neural activity give rise to subjective perceptual experience—ie
conscious perception—is a fundamental question of neuroscience. To date, the vast majority …

A graph is an abstract model that represents relations among entities, for example, the
interactions between characters in a novel. A background story endows entities and …

Self-supervised, category-agnostic segmentation of real-world images is a challenging open
problem in computer vision. Here, we show how to learn static grouping priors from motion …

Software is usually complex and always intangible. In practice, the development and
maintenance processes are time-consuming activities mainly because software complexity …

Grid visualizations are widely used in many applications to visually explain a set of data and
their proximity relationships. However, existing layout methods face difficulties when dealing …

A very broad conceptual diagram of the epistemology of the field of urban morphology is
provided as a first step to illustrating the potential connections between different schools of …

We propose a novel method for learning convolutional neural image representations without
manual supervision. We use motion cues in the form of optical-flow, to supervise …

The human brain evolved to implicitly approach or avoid objects in its surroundings.
Requisite for survival, this behavior happens without conscious awareness or control, honed …