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20212023
most citedUsing Social Media Images for Building Function Classification

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Towards Large-scale Building Attribute Mapping using Crowdsourced Images: Scene Text Recognition on Flickr and Problems to be Solved

Yao Sun, Anna Kruspe, Liqiu Meng +4

Crowdsourced platforms provide huge amounts of street-view images that contain valuable building information. This work addresses the challenges in applying Scene Text Recognition…

cs.CV2022★ 3 cited

Geo-Information Harvesting from Social Media Data

Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai +9

As unconventional sources of geo-information, massive imagery and text messages from open platforms and social media form a temporally quasi-seamless, spatially multi-perspective s…

cs.LG2022

So2Sat POP -- A Curated Benchmark Data Set for Population Estimation from Space on a Continental Scale

Sugandha Doda, Yuanyuan Wang, Matthias Kahl +4

Obtaining a dynamic population distribution is key to many decision-making processes such as urban planning, disaster management and most importantly helping the government to bett…

cs.CV2022★ 4 cited

Using Social Media Images for Building Function Classification

Eike Jens Hoffmann, Karam Abdulahhad, Xiao Xiang Zhu

Urban land use on a building instance level is crucial geo-information for many applications, yet difficult to obtain. An intuitive approach to close this gap is predicting buildin…

cs.SI2021

Changes in Twitter geolocations: Insights and suggestions for future usage

Anna Kruspe, Matthias Häberle, Eike J. Hoffmann +3

Twitter data has become established as a valuable source of data for various application scenarios in the past years. For many such applications, it is necessary to know where Twit…