4 citations · 4 across the 2 of their papers we have counts for
5 papers · 1 filter
Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks
Miaoxin Cai, Guanqun Wang, Wei Zhang +6
RS-MLLMs enable natural-language understanding and spatial reasoning over earth observation imagery. However, existing models support only a narrow range of sensor types and tasks,…
EarthGPT-X: A Spatial MLLM for Multi-level Multi-Source Remote Sensing Imagery Understanding with Visual Prompting
Wei Zhang, Miaoxin Cai, Yaqian Ning +6
Recent advances in natural-domain multi-modal large language models (MLLMs) have demonstrated effective spatial reasoning through visual and textual prompting. However, their direc…
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
Wei Zhang, Miaoxin Cai, Tong Zhang +3
Recent advances in prompt learning have allowed users to interact with artificial intelligence (AI) tools in multi-turn dialogue, enabling an interactive understanding of images. H…
Popeye: A Unified Visual-Language Model for Multi-Source Ship Detection from Remote Sensing Imagery
Wei Zhang, Miaoxin Cai, Tong Zhang +3
Ship detection needs to identify ship locations from remote sensing (RS) scenes. Due to different imaging payloads, various appearances of ships, and complicated background interfe…
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain
Wei Zhang, Miaoxin Cai, Tong Zhang +2
Multi-modal large language models (MLLMs) have demonstrated remarkable success in vision and visual-language tasks within the natural image domain. Owing to the significant diversi…