Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1901.10553
Cited By
Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations
22 January 2019
Zhoutong Wang
Q. Liang
Fábio Duarte
Fan Zhang
Louis Charron
L. Johnsen
B. Cai
C. Ratti
3DV
HAI
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations"
1 / 1 papers shown
Urban Visual Intelligence: Studying Cities with AI and Street-level Imagery
Zhanga Fan
Arianna Salazar Miranda
Fábio Duarte
Lawrence J. Vale
G. Hack
Min Chen
Yu Liu
M. Batty
C. Ratti
279
7
0
02 Jan 2023
1
