activity
20202024
most citedDetecting Unsigned Physical Road Incidents from Driver-View Images

16 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes

Ivica Obadic, Alex Levering, Lars Pennig +3

Predicting socioeconomic indicators from satellite imagery with deep learning has become an increasingly popular research direction. Post-hoc concept-based explanations can be an i…

cs.CV2024★ 1 cited

Cross-Modal Learning of Housing Quality in Amsterdam

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. For ground-level images we compare Goo…

cs.CV2023★ 1 cited

Time Series Analysis of Urban Liveability

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. Our liveability reference data is defined by a…

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.CV2020★ 16 cited

Detecting Unsigned Physical Road Incidents from Driver-View Images

Alex Levering, Martin Tomko, Devis Tuia +1

Safety on roads is of uttermost importance, especially in the context of autonomous vehicles. A critical need is to detect and communicate disruptive incidents early and effectivel…