252 citations · 652 across the 16 of their papers we have counts for
17 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…
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters
Firoj Alam, Ferda Ofli, Muhammad Imran
During natural and man-made disasters, people use social media platforms such as Twitter to post textual and multime- dia content to report updates about injured or dead people, in…
Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises
Dat Tien Nguyen, Firoj Alam, Ferda Ofli +1
The extensive use of social media platforms, especially during disasters, creates unique opportunities for humanitarian organizations to gain situational awareness and launch relie…
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media
Enes Kocabey, Mustafa Camurcu, Ferda Ofli +4
A person's weight status can have profound implications on their life, ranging from mental health, to longevity, to financial income. At the societal level, "fat shaming" and other…
Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health
Ferda Ofli, Yusuf Aytar, Ingmar Weber +2
Food is an integral part of our life and what and how much we eat crucially affects our health. Our food choices largely depend on how we perceive certain characteristics of food,…
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment
N. Attari, F. Ofli, M. Awad +2
We propose Nazr-CNN1, a deep learning pipeline for object detection and fine-grained classification in images acquired from Unmanned Aerial Vehicles (UAVs) for damage assessment an…
Impact of Physical Activity on Sleep:A Deep Learning Based Exploration
Aarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque +5
The importance of sleep is paramount for maintaining physical, emotional and mental wellbeing. Though the relationship between sleep and physical activity is known to be important,…
Robust Automated Human Activity Recognition and its Application to Sleep Research
Aarti Sathyanarayana, Ferda Ofli, Luis Fernandes-Luque +4
Human Activity Recognition (HAR) is a powerful tool for understanding human behaviour. Applying HAR to wearable sensors can provide new insights by enriching the feature set in hea…
Remote Health Coaching System and Human Motion Data Analysis for Physical Therapy with Microsoft Kinect
Qifei Wang, Gregorij Kurillo, Ferda Ofli +1
This paper summarizes the recent progress we have made for the computer vision technologies in physical therapy with the accessible and affordable devices. We first introduce the r…
Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect
Qifei Wang, Gregorij Kurillo, Ferda Ofli +1
Microsoft Kinect camera and its skeletal tracking capabilities have been embraced by many researchers and commercial developers in various applications of real-time human movement…
Unsupervised Temporal Segmentation of Repetitive Human Actions Based on Kinematic Modeling and Frequency Analysis
Qifei Wang, Gregorij Kurillo, Ferda Ofli +1
In this paper, we propose a method for temporal segmentation of human repetitive actions based on frequency analysis of kinematic parameters, zero-velocity crossing detection, and…
360 Quantified Self
Hamed Haddadi, Ferda Ofli, Yelena Mejova +2
Wearable devices with a wide range of sensors have contributed to the rise of the Quantified Self movement, where individuals log everything ranging from the number of steps they h…