Staff profile
Overview
https://apps.dur.ac.uk/biography/image/2580
Jack
Research interests
- Computer Vision
- Deep Learning
- Machine Learning
Publications
Conference Paper
- Barker, J., Bhowmik, N., Gaus, Y., & Breckon, T. (2023, February). Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. Presented at VISAPP 2023: 18th International Conference on Computer Vision Theory and Applications, Lisbon, Portugal
- Bhowmik, N., Barker, J., Gaus, Y., & Breckon, T. (2022, June). Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. Presented at 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), New Orleans, Louisiana
- Barker, J., & Breckon, T. (2021, July). PANDA: Perceptually Aware Neural Detection of Anomalies. Presented at 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen, China