103 citations · 143 across the 7 of their papers we have counts for
8 papers
How important are faces for person re-identification?
Julia Dietlmeier, Joseph Antony, Kevin McGuinness +1
This paper investigates the dependence of existing state-of-the-art person re-identification models on the presence and visibility of human faces. We apply a face detection and blu…
Investigating Class-level Difficulty Factors in Multi-label Classification Problems
Mark Marsden, Kevin McGuinness, Joseph Antony +6
This work investigates the use of class-level difficulty factors in multi-label classification problems for the first time. Four class-level difficulty factors are proposed: freque…
Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images
Jaynal Abedin, Joseph Antony, Kevin McGuinness +4
Knee osteoarthritis (KOA) is a disease that impairs knee function and causes pain. A radiologist reviews knee X-ray images and grades the severity level of the impairments accordin…
Assessing Knee OA Severity with CNN attention-based end-to-end architectures
Marc Górriz, Joseph Antony, Kevin McGuinness +2
This work proposes a novel end-to-end convolutional neural network (CNN) architecture to automatically quantify the severity of knee osteoarthritis (OA) using X-Ray images, which i…
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity
Joseph Antony, Kevin McGuinness, Kieran Moran +1
This chapter presents the investigations and the results of feature learning using convolutional neural networks to automatically assess knee osteoarthritis (OA) severity and the a…
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks
Joseph Antony, Kevin McGuinness, Kieran Moran +1
This paper introduces a new approach to automatically quantify the severity of knee OA using X-ray images. Automatically quantifying knee OA severity involves two steps: first, aut…