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Benchmarking Vision-Language Models for Property Intelligence
A systematic evaluation of vision-language models on automated property analysis tasks from drone and aerial imagery.
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3D Scene Understanding with GeoLLMs
Exploring approaches to build 3D-aware language models for geospatial scene understanding from multi-view imagery and 3D data.
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Building a Satellite Image-Text Foundation Model with GeoCLIP
Adapting OpenCLIP for satellite imagery using large-scale datasets like LAION-400M and SatlasPretrain.
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Property Intelligence from Satellite and Drone Imagery
Automated property analysis using segmentation models on satellite and drone imagery at varying resolutions.
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Benchmarking Change Detection: Lessons from QFabric
Experimental results from benchmarking change detection, change type classification, and status tracking on the QFabric dataset.
