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Towards urban general intelligence: A review and outlook of urban foundation models
Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
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 …
Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web
Urban region profiling from web-sourced data is of utmost importance for urban computing.
We are witnessing a blossom of LLMs for various fields, especially in multi-modal data …
We are witnessing a blossom of LLMs for various fields, especially in multi-modal data …
Urban foundation models: A survey
Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
Knowledge-infused contrastive learning for urban imagery-based socioeconomic prediction
Monitoring sustainable development goals requires accurate and timely socioeconomic
statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street …
statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street …
Urban region embedding via multi-view contrastive prediction
Recently, learning urban region representations utilizing multi-modal data (information
views) has become increasingly popular, for deep understanding of the distributions of …
views) has become increasingly popular, for deep understanding of the distributions of …
Multi-temporal image analysis of wetland dynamics using machine learning algorithms
Wetlands play a crucial role in enhancing groundwater quality, mitigating natural hazards,
controlling erosion, and providing essential habitats for unique flora and wildlife. Despite …
controlling erosion, and providing essential habitats for unique flora and wildlife. Despite …
Profiling urban streets: A semi-supervised prediction model based on street view imagery and spatial topology
With the expansion and growth of cities, profiling urban areas with the advent of multi-modal
urban datasets (eg, points-of-interest and street view imagery) has become increasingly …
urban datasets (eg, points-of-interest and street view imagery) has become increasingly …
Geolocation representation from large language models are generic enhancers for spatio-temporal learning
In the geospatial domain, universal representation models are significantly less prevalent
than their extensive use in natural language processing and computer vision. This …
than their extensive use in natural language processing and computer vision. This …
ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual Foundations
Understanding urban regional characteristics is pivotal in driving critical insights for urban
planning and management. We have witnessed the successful application of pre-trained …
planning and management. We have witnessed the successful application of pre-trained …