4 citations · 7 across the 5 of their papers we have counts for
8 papers
Quantifying urban streetscapes with deep learning: focus on aesthetic evaluation
Yusuke Kumakoshi, Shigeaki Onoda, Tetsuya Takahashi +1
The disorder of urban streetscapes would negatively affect people's perception of their aesthetic quality. The presence of billboards on building facades has been regarded as an im…
Diversity and density of urban functions in station areas
Yusuke Kumakoshi, Hideki Koizumi, Yuji Yoshimura
The diversity and density of urban functions have been known to affect urban vibrancy positively, but the relation between the two has not been empirically examined; if high densit…
Local Betweenness Centrality Analysis of 30 European Cities
Kaoru Yamaoka, Yusuke Kumakoshi, Yuji Yoshimura
Urban morphology and socioeconomic aspects of cities have been explored by analysing urban street network. To analyse the network, several variations of the centrality indices are…
A pedestrian level strategy to minimize outdoor sunlight exposure in hot summer
Xiaojiang Li, Yuji Yoshimura, Wei Tu +1
Too much sunlight exposure would cause heat stress for people during the hot summer, although a minimum amount of sunlight is required for humans.
Deep Learning Architect: Classification for Architectural Design through the Eye of Artificial Intelligence
Yuji Yoshimura, Bill Cai, Zhoutong Wang +1
This paper applies state-of-the-art techniques in deep learning and computer vision to measure visual similarities between architectural designs by different architects. Using a da…
Analysis of visitors' mobility patterns through random walk in the Louvre museum
Yuji Yoshimura, Roberta Sinatra, Anne Krebs +1
This paper proposes a random walk model to analyze visitors' mobility patterns in a large museum. Visitors' available time makes their visiting styles different, resulting in dissi…