Meiliu as Invited Speaker at University of Hong Kong, Feb 12-13, 2025
Departmental Research Seminars Series: Event link
Date: 19 FEB 2025 (Wednesday)
Time: 10:30-12:00 (HKT)
Venue: CLL, Department of Geography, 10/F, The Jockey Club Tower, Centennial Campus, HKU
Huge thanks to Assistant Professor Yanjia Cao for being such an amazing host during my visit to the Department of Geography at HKU in Feb 2025! I truly appreciated the warm welcome, the thought-provoking conversations, and especially the chance to engage with such curious and enthusiastic colleagues and students.
As AI advances, the fusion of multimodal data (e.g., images, text, and spatial information) unlocks unprecedented opportunities for geospatial understanding. This talk introduces an innovative GeoAI framework that extracts and integrates spatial knowledge using Vision-Language Models (VLMs), including GPT-4 and Contrastive Language-Image Pretraining (CLIP), to enhance geospatial analytics. By enabling AI to interpret both visual and linguistic data with spatial awareness, this work expands the capabilities of AI to tackle complex geospatial tasks, such as image geo-localization, land use detection, and urban perception prediction.
The core of this framework leverages spatially explicit prompt engineering and contrastive learning, refining AI models to reason about geo-locations and spatial patterns. These techniques set a new benchmark for AI in geospatial applications, offering scalable, accurate, and explainable insights across diverse environments. As we push the boundaries of GeoAI, the integration of VLMs and spatial reasoning is paving the way for more intelligent, interpretable, and impactful decision-making in the geospatial domain and beyond.
