activity
20172024
most citedGraph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

266 citations · 368 across the 33 of their papers we have counts for

collaborators

75 papers

cs.AI2024

Physics Augmented Tuple Transformer for Autism Severity Level Detection

Chinthaka Ranasingha, Harshala Gammulle, Tharindu Fernando +2

Early diagnosis of Autism Spectrum Disorder (ASD) is an effective and favorable step towards enhancing the health and well-being of children with ASD. Manual ASD diagnosis testing…

cs.CV2023

SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions

Martin Tran, Jordan Shipard, Hermawan Mulyono +2

High-quality training data is essential for enhancing the robustness of object detection models. Within the maritime domain, obtaining a diverse real image dataset is particularly…

cs.CV2022

Using Auxiliary Information for Person Re-Identification -- A Tutorial Overview

Tharindu Fernando, Clinton Fookes, Sridha Sridharan +1

Person re-identification (re-id) is a pivotal task within an intelligent surveillance pipeline and there exist numerous re-id frameworks that achieve satisfactory performance in ch…

cs.LG20221 cited

Does Interference Exist When Training a Once-For-All Network?

Jordan Shipard, Arnold Wiliem, Clinton Fookes

The Once-For-All (OFA) method offers an excellent pathway to deploy a trained neural network model into multiple target platforms by utilising the supernet-subnet architecture. Onc…

cs.CV2022

Learning Dense Correspondence from Synthetic Environments

Mithun Lal, Anthony Paproki, Nariman Habili +3

Estimation of human shape and pose from a single image is a challenging task. It is an even more difficult problem to map the identified human shape onto a 3D human model. Existing…

cs.CV202219 cited

The State of Aerial Surveillance: A Survey

Kien Nguyen, Clinton Fookes, Sridha Sridharan +4

The rapid emergence of airborne platforms and imaging sensors are enabling new forms of aerial surveillance due to their unprecedented advantages in scale, mobility, deployment and…