most citedQuantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations

20 citations · 23 across the 3 of their papers we have counts for

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cs.CV2019

Uncovering Dominant Social Class in Neighborhoods through Building Footprints: A Case Study of Residential Zones in Massachusetts using Computer Vision

Qianhui Liang, Zhoutong Wang

In urban theory, urban form is related to social and economic status. This paper explores to uncover zip-code level income through urban form by analyzing figure-ground map, a simp…

cs.CV2018★ 3 cited

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…