Visual characteristics of the built environment affect how people perceive and experience
cities. For a long time, many studies have examined visual perception in cities. Such efforts …

Traffic scene perception in computer vision is a critically important task to achieve intelligent
cities. To date most existing datasets focus on autonomous driving scenes. We observe that …

Deep neural networks (DNNs) have achieved remarkable success in diverse fields.
However, it has been demonstrated that DNNs are very vulnerable to adversarial examples …

Deep learning has been used with the street-view imagery Place Pulse 2.0 to evaluate the
perception of urban space along six perceptual dimensions: safe, lively, beautiful, wealthy …

Deep learning has been used with the street-view imagery Place Pulse 2.0 to evaluate the
perception of urban space along six perceptual dimensions: safe, lively, beautiful, wealthy …