25 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.CL2021
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…
cs.CV2020★ 3 cited
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…
cs.SI2020★ 25 cited
Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence
Muhammad Imran, Firoj Alam, Umair Qazi +2
Rapid damage assessment is one of the core tasks that response organizations perform at the onset of a disaster to understand the scale of damage to infrastructures such as roads,…