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

1 citations · 1 across the 3 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

Decoding the Disaster: Multi-Task Geospatial Reasoning with Vision-Language Models and Crowdsourced Imagery for Disaster Mapping

Wenping Yin, Fabian Desuer, Ziqi Liu +5

Crowdsourced imagery provides timely, fine-grained, street-level observations for disaster mapping, complementing conventional remote sensing imagery (RSI) during emergency respons…

cs.CV2026

DisasterTD: Disaster Toponym Disambiguation Using Multimodal LLMs and Cross-View Geolocalization

Wenping Yin, Ziqi Liu, Naixia Mou +3

Social media imagery (SMI) provides timely and fine-grained ground perspectives that are valuable for situational awareness and emergency response. Unlike satellite or aerial image…

cs.CV2026

Smart Transfer: Leveraging Vision Foundation Model for Rapid Building Damage Mapping with Post-Earthquake VHR Imagery

Hao Li, Liwei Zou, Wenping Yin +4

Living in a changing climate, human society now faces more frequent and severe natural disasters than ever before. As a consequence, rapid disaster response during the "Golden 72 H…

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…