Urban Visual Intelligence: Studying Cities with Artificial Intelligence and Street-Level Imagery
The visual dimension of cities has been a fundamental subject in urban studies since the
pioneering work of late-nineteenth-to mid-twentieth-century scholars such as Camillo Sitte …
pioneering work of late-nineteenth-to mid-twentieth-century scholars such as Camillo Sitte …
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …
sustainable development by harnessing the power of cross-domain data fusion from diverse …
UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction
Urban indicator prediction aims to infer socio-economic metrics in diverse urban landscapes
using data-driven methods. However, prevalent pre-trained models, particularly those reliant …
using data-driven methods. However, prevalent pre-trained models, particularly those reliant …
Deep Learning for Slum Mapping in Remote Sensing Images: A Meta-analysis and Review
The major Sustainable Development Goals (SDG) 2030, set by the United Nations
Development Program (UNDP), include sustainable cities and communities, no poverty, and …
Development Program (UNDP), include sustainable cities and communities, no poverty, and …
[HTML][HTML] Fusion of satellite and street view data for urban traffic accident hotspot identification
W Guo, C Xu, S Jin - International Journal of Applied Earth Observation and …, 2024 - Elsevier
As the number of vehicles and the volume of traffic swell in urban centers, cities have
experienced a concomitant increase in traffic accidents. Proactively identifying accident …
experienced a concomitant increase in traffic accidents. Proactively identifying accident …
[PDF][PDF] ANALYSIS OF DIFFERENCES IN STREET VISUAL WALKABILITY PERCEPTION BETWEEN DCNN AND VIT MODEL BASED ON PANORAMIC STREET VIEW …
Y XIE, Y LI, J ZHANG, J ZHANG, Z KUANG - caadria2024.org
In measuring Urban Street Visual Walkability Perception (VWP) using Street View Images
(SVIs), the VWP classification deep multitask learning (VWPCL) model based on the Deep …
(SVIs), the VWP classification deep multitask learning (VWPCL) model based on the Deep …