3 citations · 3 across the 3 of their papers we have counts for
6 papers
Private Facial Diagnosis as an Edge Service for Parkinson's DBS Treatment Valuation
Richard Jiang, Paul Chazot, Danny Crookes +2
Facial phenotyping has recently been successfully exploited for medical diagnosis as a novel way to diagnose a range of diseases, where facial biometrics has been revealed to have…
Towards Building A Facial Identification System Using Quantum Machine Learning Techniques
Philip Easom-McCaldin, Ahmed Bouridane, Ammar Belatreche +1
In the modern world, facial identification is an extremely important task in which many applications rely on high performing algorithms to detect faces efficiently. Whilst classica…
Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis
Gary Storey, Ahmed Bouridane, Richard Jiang +1
While facial biometrics has been widely used for identification purpose, it has recently been researched as medical biometrics for a range of diseases. In this chapter, we investig…
3DPalsyNet: A Facial Palsy Grading and Motion Recognition Framework using Fully 3D Convolutional Neural Networks
Gary Storey, Richard Jiang, Shelagh Keogh +2
The capability to perform facial analysis from video sequences has significant potential to positively impact in many areas of life. One such area relates to the medical domain to…
Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks
Ranjith Dinakaran, Philip Easom, Li Zhang +3
In this work, we examine the feasibility of applying Deep Convolutional Generative Adversarial Networks (DCGANs) with Single Shot Detector (SSD) as data-processing technique to han…
Deep Learning based Pedestrian Detection at Distance in Smart Cities
Ranjith K Dinakaran, Philip Easom, Ahmed Bouridane +4
Generative adversarial networks (GANs) have been promising for many computer vision problems due to their powerful capabilities to enhance the data for training and test. In this p…