102 citations · 350 across the 24 of their papers we have counts for
6 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…
Learning Program Representations for Food Images and Cooking Recipes
Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko +3
In this paper, we are interested in modeling a how-to instructional procedure, such as a cooking recipe, with a meaningful and rich high-level representation. Specifically, we prop…
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…