102 citations · 428 across the 18 of their papers we have counts for
7 papers · 1 filter
Fight Detection from Still Images in the Wild
Şeymanur Aktı, Ferda Ofli, Muhammad Imran +1
Detecting fights from still images shared on social media is an important task required to limit the distribution of violent scenes in order to prevent their negative effects. For…
TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels
Muhammad Imran, Umair Qazi, Ferda Ofli
The widespread usage of social networks during mass convergence events, such as health emergencies and disease outbreaks, provides instant access to citizen-generated data that car…
Landslide Detection in Real-Time Social Media Image Streams
Ferda Ofli, Muhammad Imran, Umair Qazi +4
Lack of global data inventories obstructs scientific modeling of and response to landslide hazards which are oftentimes deadly and costly. To remedy this limitation, new approaches…
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
Firoj Alam, Tanvirul Alam, Md. Arid Hasan +3
Recent research in disaster informatics demonstrates a practical and important use case of artificial intelligence to save human lives and suffering during natural disasters based…
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…
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks
Firoj Alam, Umair Qazi, Muhammad Imran +1
Social networks are widely used for information consumption and dissemination, especially during time-critical events such as natural disasters. Despite its significantly large vol…