170 citations · 605 across the 17 of their papers we have counts for
Showing cs.AIShow all
3 papers · 1 filter
cs.AI2023★ 66 cited
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Gengchen Mai, Weiming Huang, Jin Sun +11
Large pre-trained models, also known as foundation models (FMs), are trained in a task-agnostic manner on large-scale data and can be adapted to a wide range of downstream tasks by…
cs.AI2022★ 2 cited
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research
Dalton Lunga, Yingjie Hu, Shawn Newsam +4
Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field enjoying tremendous adoption. However, the efficient design and implementation of GeoAI systems face many o…
cs.AI2019★ 28 cited
Artificial Intelligence Approaches
Yingjie Hu, Wenwen Li, Dawn Wright +4
Artificial Intelligence (AI) has received tremendous attention from academia, industry, and the general public in recent years. The integration of geography and AI, or GeoAI, provi…