102 citations · 428 across the 18 of their papers we have counts for
5 papers · 1 filter
Fine-grained Population Mapping from Coarse Census Counts and Open Geodata
Nando Metzger, John E. Vargas-Muñoz, Rodrigo C. Daudt +6
Fine-grained population maps are needed in several domains, like urban planning, environmental monitoring, public health, and humanitarian operations. Unfortunately, in many countr…
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
Fevziye Irem Eyiokur, Alperen Kantarcı, Mustafa Ekrem Erakın +8
The emergence of COVID-19 has had a global and profound impact, not only on society as a whole, but also on the lives of individuals. Various prevention measures were introduced ar…
Bias-Aware Face Mask Detection Dataset
Alperen Kantarcı, Ferda Ofli, Muhammad Imran +1
In December 2019, a novel coronavirus (COVID-19) spread so quickly around the world that many countries had to set mandatory face mask rules in public areas to reduce the transmiss…
A Real-time System for Detecting Landslide Reports on Social Media using Artificial Intelligence
Ferda Ofli, Umair Qazi, Muhammad Imran +4
This paper presents an online system that leverages social media data in real time to identify landslide-related information automatically using state-of-the-art artificial intelli…
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents
Ethan Weber, Dim P. Papadopoulos, Agata Lapedriza +3
Natural disasters, such as floods, tornadoes, or wildfires, are increasingly pervasive as the Earth undergoes global warming. It is difficult to predict when and where an incident…