activity
20232026
most citedGeo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages

187 citations · 334 across the 15 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CV2024

Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN

Hao Li, Fabian Deuser, Wenping Yina +5

Nature disasters play a key role in shaping human-urban infrastructure interactions. Effective and efficient response to natural disasters is essential for building resilience and…

cs.CV2024★ 7 cited

TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

Nemin Wu, Qian Cao, Zhangyu Wang +12

Spatial representation learning (SRL) aims at learning general-purpose neural network representations from various types of spatial data (e.g., points, polylines, polygons, network…

cs.CV2024★ 16 cited

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation

Zhongliang Zhou, Jielu Zhang, Zihan Guan +5

Geolocating precise locations from images presents a challenging problem in computer vision and information retrieval.Traditional methods typically employ either classification, wh…

cs.LG2024

TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction

Yan Luo, Zhuoyue Wan, Yuzhong Chen +3

Understanding the link between urban planning and commuting flows is crucial for guiding urban development and policymaking. This research, bridging computer science and urban stud…

cs.CL2024★ 43 cited

Revolutionizing Finance with LLMs: An Overview of Applications and Insights

Huaqin Zhao, Zhengliang Liu, Zihao Wu +16

In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable advancements and have been applied in diverse fields. Built on the Transformer architecture, these…