activity
20192022
collaborators

6 papers

cs.CV2022

Dynamic Point Cloud Compression with Cross-Sectional Approach

Faranak Tohidi, Manoranjan Paul, Anwaar Ulhaq

The recent development of dynamic point clouds has introduced the possibility of mimicking natural reality, and greatly assisting quality of life. However, to broadcast successfull…

eess.IV2020

MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features

Douglas P. S. Gomes, Michael J. Horry, Anwaar Ulhaq +5

The application of computer vision for COVID-19 diagnosis is complex and challenging, given the risks associated with patient misclassifications. Arguably, the primary value of med…

cs.CR2020

COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework

Anwaar Ulhaq, Oliver Burmeister

To address COVID-19 healthcare challenges, we need frequent sharing of health data, knowledge and resources at a global scale. However, in this digital age, data privacy is a big c…

cs.CV2020

Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens

Asim Khan, Umair Nawaz, Anwaar Ulhaq +1

In the Agriculture sector, control of plant leaf diseases is crucial as it influences the quality and production of plant species with an impact on the economy of any country. Ther…

eess.IV2020

Potential Features of ICU Admission in X-ray Images of COVID-19 Patients

Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul +5

X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19. If true, this hypothesis may have practical value in…

eess.SP2019

Vegetation High-Impedance Faults' High-Frequency Signatures via Sparse Coding

Douglas P. S. Gomes, Cagil Ozansoy, Anwaar Ulhaq

The behavior of High-Impedance Faults (HIFs) in power distribution systems depends on multiple factors, making it a challenging disturbance to model. If enough data from real stage…