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20202022
most citedFine-grained Population Mapping from Coarse Census Counts and Open Geodata

35 citations · 64 across the 7 of their papers we have counts for

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cs.CV2022

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…

cs.CV20221 cited

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…

cs.CV20222 cited

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…

cs.CV20211 cited

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…

cs.CV2021

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…