69 citations · 135 across the 8 of their papers we have counts for
8 papers · 1 filter
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…
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…
Mapping Vulnerable Populations with AI
Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia +6
Humanitarian actions require accurate information to efficiently delegate support operations. Such information can be maps of building footprints, building functions, and populatio…
Robust Training of Social Media Image Classification Models for Rapid Disaster Response
Firoj Alam, Tanvirul Alam, Muhammad Imran +1
Images shared on social media help crisis managers gain situational awareness and assess incurred damages, among other response tasks. As the volume and velocity of such content ar…
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response
Firoj Alam, Ferda Ofli, Muhammad Imran +2
During a disaster event, images shared on social media helps crisis managers gain situational awareness and assess incurred damages, among other response tasks. Recent advances in…
Detecting natural disasters, damage, and incidents in the wild
Ethan Weber, Nuria Marzo, Dim P. Papadopoulos +5
Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious task performed by on-the-ground emergency responders and analysts. Social media has emer…