19 citations · 44 across the 10 of their papers we have counts for
23 papers
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…
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
Harshala Gammulle, Tharindu Fernando, Sridha Sridharan +2
This paper presents a novel lightweight COVID-19 diagnosis framework using CT scans. Our system utilises a novel two-stage approach to generate robust and efficient diagnoses acros…
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings
Tharindu Fernando, Sridha Sridharan, Simon Denman +2
This paper proposes a novel framework for lung sound event detection, segmenting continuous lung sound recordings into discrete events and performing recognition on each event. Exp…
Deep Learning for Medical Anomaly Detection -- A Survey
Tharindu Fernando, Harshala Gammulle, Simon Denman +2
Machine learning-based medical anomaly detection is an important problem that has been extensively studied. Numerous approaches have been proposed across various medical applicatio…
Patient-independent Epileptic Seizure Prediction using Deep Learning Models
Theekshana Dissanayake, Tharindu Fernando, Simon Denman +2
Objective: Epilepsy is one of the most prevalent neurological diseases among humans and can lead to severe brain injuries, strokes, and brain tumors. Early detection of seizures ca…
Domain Generalization in Biosignal Classification
Theekshana Dissanayake, Tharindu Fernando, Simon Denman +3
Objective: When training machine learning models, we often assume that the training data and evaluation data are sampled from the same distribution. However, this assumption is vio…