most citedIt is not always greener on the other side: Greenery perception across demographics and personalities in multiple cities

3 citations · 3 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CV20263 cited

It is not always greener on the other side: Greenery perception across demographics and personalities in multiple cities

Matias Quintana, Fangqi Liu, Jussi Torkko +9

Quantifying and assessing urban greenery is consequential for planning and development, reflecting the everlasting importance of green spaces for multiple climate and well-being di…

cs.HC2025

VoxCity: A Seamless Framework for Open Geospatial Data Integration, Grid-Based Semantic 3D City Model Generation, and Urban Environment Simulation

Kunihiko Fujiwara, Ryuta Tsurumi, Tomoki Kiyono +6

Three-dimensional urban environment simulation is a powerful tool for informed urban planning. However, the intensive manual effort required to prepare input 3D city models has hin…

cs.CV2025

OpenFACADES: An Open Framework for Architectural Caption and Attribute Data Enrichment via Street View Imagery

Xiucheng Liang, Jinheng Xie, Tianhong Zhao +2

Building properties, such as height, usage, and material, play a crucial role in spatial data infrastructures, supporting various urban applications. Despite their importance, comp…

cs.CV2025

Global urban visual perception varies across demographics and personalities

Matias Quintana, Youlong Gu, Xiucheng Liang +5

Understanding people's preferences is crucial for urban planning, yet current approaches often combine responses from multi-cultural populations, obscuring demographic differences…

cs.CV2025

Texture2LoD3: Enabling LoD3 Building Reconstruction With Panoramic Images

Wenzhao Tang, Weihang Li, Xiucheng Liang +4

Despite recent advancements in surface reconstruction, Level of Detail (LoD) 3 building reconstruction remains an unresolved challenge. The main issue pertains to the object-orient…

cs.CV2025

ZenSVI: An Open-Source Software for the Integrated Acquisition, Processing and Analysis of Street View Imagery Towards Scalable Urban Science

Koichi Ito, Yihan Zhu, Mahmoud Abdelrahman +9

Street view imagery (SVI) has been instrumental in many studies in the past decade to understand and characterize street features and the built environment. Researchers across a va…