most citedTowards Generative Location Awareness for Disaster Response: A Probabilistic Cross-view Geolocalization Approach

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

A Decade of PhotoMappers: A Longitudinal Study of Crowdsourced Disaster Photos Geolocalization with Vision-Language Models and Geospatial Reasoning

Hao Li, Wenping Yin, Fabian Deuser +5

Crowdsourced disaster imagery provides timely, ground-level observations when conventional disaster mapping is delayed or incomplete, yet its geographic value depends on where obse…

cs.CV2026

RAPID: A Reproducible Multi-Agent Pipeline for Interpretable Disaster Damage Assessment from Satellite and Street-View Imagery

Yifan Yang, Wenjing Gong, Kaili Zhang +5

Due to the increasing frequency and intensity of extreme climate events, there is a clear demand for intelligent, scalable, and autonomous approaches to disaster damage assessment.…

cs.AI2026

AutoMine Solution for AV2 2026 Scenario Mining Challenge

Songliang Cao, Jiele Zhao, Yuru Wang +10

With the development of autonomous driving systems, mining high-value, safety-critical, and planning-relevant scenarios from large-scale driving logs has become essential for data-…

cs.LG2026

Speculative Rollback Correction for Quality-Diverse Web Agent Imitation

Longkun Hao, Hongyu Lin, Hao Li +11

Training interactive web agents through imitation learning from expert trajectories has emerged as a highly effective approach. However, determining the optimal timing for expert i…

cs.AI2025★ 1 cited

Towards Generative Location Awareness for Disaster Response: A Probabilistic Cross-view Geolocalization Approach

Hao Li, Fabian Deuser, Wenping Yin +5

As Earth's climate changes, it is impacting disasters and extreme weather events across the planet. Record-breaking heat waves, drenching rainfalls, extreme wildfires, and widespre…