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20172023
most citedMEDIC: A Multi-Task Learning Dataset for Disaster Image Classification

86 citations · 508 across the 44 of their papers we have counts for

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6 papers · 1 filter

cs.CV2021

Detecting Propaganda Techniques in Memes

Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar +5

Propaganda can be defined as a form of communication that aims to influence the opinions or the actions of people towards a specific goal; this is achieved by means of well-defined…

cs.CV2021★ 86 cited

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…

cs.CV2021★ 5 cited

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…

cs.CV2020★ 3 cited

Flood Detection via Twitter Streams using Textual and Visual Features

Firoj Alam, Zohaib Hassan, Kashif Ahmad +4

The paper presents our proposed solutions for the MediaEval 2020 Flood-Related Multimedia Task, which aims to analyze and detect flooding events in multimedia content shared over T…

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.CV2020★ 69 cited

Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response

Ferda Ofli, Firoj Alam, Muhammad Imran

Multimedia content in social media platforms provides significant information during disaster events. The types of information shared include reports of injured or deceased people,…