Jack W. Barker

According to our database, Jack W. Barker authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption.

Jack W. Barker, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022

Semi-supervised Surface Anomaly Detection of Composite Wind Turbine Blades from Drone Imagery.

Jack W. Barker, Neelanjan Bhowmik, Toby P. Breckon

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery.

Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus, Toby P. Breckon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

PANDA: Perceptually Aware Neural Detection of Anomalies.

Jack W. Barker, Toby P. Breckon

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery.

Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillén-Garcia, Jack W. Barker, Toby P. Breckon

Proceedings of the International Joint Conference on Neural Networks, 2019

On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery.

Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akçay, Jack W. Barker, Toby P. Breckon

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019