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cs.AI2025

Instructor-Worker Large Language Model System for Policy Recommendation: a Case Study on Air Quality Analysis of the January 2025 Los Angeles Wildfires

Kyle Gao, Dening Lu, Liangzhi Li +4

The Los Angeles wildfires of January 2025 caused more than 250 billion dollars in damage and lasted for nearly an entire month before containment. Following our previous work, the…

cs.LG2025

Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data

Zhengsen Xu, Jonathan Li, Sibo Cheng +8

Wildfires pose a significant threat to ecosystems, wildlife, and human communities, leading to habitat destruction, pollutant emissions, and biodiversity loss. Accurate wildfire ri…

cs.CV2025

Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting

Kyle Gao, Liangzhi Li, Hongjie He +3

Recently released open-source pre-trained foundational image segmentation and object detection models (SAM2+GroundingDINO) allow for geometrically consistent segmentation of object…

cs.CV2025

UDHF2-Net: Uncertainty-diffusion-model-based High-Frequency TransFormer Network for Remotely Sensed Imagery Interpretation

Pengfei Zhang, Chang Li, Yongjun Zhang +3

Remotely sensed imagery interpretation (RSII) faces the three major problems: (1) objective representation of spatial distribution patterns; (2) edge uncertainty problem caused by…

cs.CV2025

Digital Twin Buildings: 3D Modeling, GIS Integration, and Visual Descriptions Using Gaussian Splatting, ChatGPT/Deepseek, and Google Maps Platform

Kyle Gao, Dening Lu, Liangzhi Li +4

Urban digital twins are virtual replicas of cities that use multi-source data and data analytics to optimize urban planning, infrastructure management, and decision-making. Towards…

cs.CV2025

L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection

Xun Huang, Ziyu Xu, Hai Wu +7

LiDAR-based vision systems are integral for 3D object detection, which is crucial for autonomous navigation. However, they suffer from performance degradation in adverse weather co…