1 code implementation • 15 Apr 2024 • Ivica Obadic, Alex Levering, Lars Pennig, Dario Oliveira, Diego Marcos, Xiaoxiang Zhu
This improves the model's interpretability as it enables the latent space of the model to associate urban concepts with continuous intervals of socioeconomic outcomes.
no code implementations • 13 Mar 2024 • Alex Levering, Diego Marcos, Devis Tuia
In our research we test data and models for the recognition of housing quality in the city of Amsterdam from ground-level and aerial imagery.
no code implementations • 1 Sep 2023 • Alex Levering, Diego Marcos, Devis Tuia
In this paper we explore deep learning models to monitor longitudinal liveability changes in Dutch cities at the neighbourhood level.
no code implementations • 1 Nov 2022 • Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai, Martin Werner, Matthias Häberle, Eike Jens Hoffmann, Hannes Taubenböck, Devis Tuia, Alex Levering, Nathan Jacobs, Anna Kruspe, Karam Abdulahhad
In this article, we address key aspects in the field, including data availability, analysis-ready data preparation and data management, geo-information extraction from social media text messages and images, and the fusion of social media and remote sensing data.
no code implementations • 24 Apr 2020 • Alex Levering, Martin Tomko, Devis Tuia, Kourosh Khoshelham
In this paper we propose a system based on an off-the-shelf deep neural network architecture that is able to detect and recognize types of unsigned (non-placarded, such as traffic signs), physical (visible in images) road incidents.