69 citations · 85 across the 5 of their papers we have counts for
9 papers
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…
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,…
How to make a pizza: Learning a compositional layer-based GAN model
Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli +2
A food recipe is an ordered set of instructions for preparing a particular dish. From a visual perspective, every instruction step can be seen as a way to change the visual appeara…
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
Javier Marin, Aritro Biswas, Ferda Ofli +5
In this paper, we introduce Recipe1M+, a new large-scale, structured corpus of over one million cooking recipes and 13 million food images. As the largest publicly available collec…
A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria
Firoj Alam, Ferda Ofli, Muhammad Imran +1
People increasingly use microblogging platforms such as Twitter during natural disasters and emergencies. Research studies have revealed the usefulness of the data available on Twi…