On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures. - Matt Poyser; Amir Atapour Abarghouei; Toby P. Breckon (ICPR, 2020)

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. - Brian K. S. Isaac-Medina; Matt Poyser; Daniel Organisciak; Chris G. Willcocks; Toby P. Breckon; Hubert P. H. Shum (ICCVW, 2021)

UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification. - Daniel Organisciak; Brian K. S. Isaac-Medina; Matthew Poyser; Shanfeng Hu; Toby P. Breckon; Hubert P. H. Shum (CoRR, 2021)

Does lossy image compression affect racial bias within face recognition? - Seyma Yucer; Matt Poyser; Noura Al Moubayed; Toby P. Breckon (IJCB, 2022)

UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery. - Daniel Organisciak; Matthew Poyser; Aishah Alsehaim; Shanfeng Hu; Brian K. S. Isaac-Medina; Toby P. Breckon; Hubert P. H. Shum (VISIGRAPP (4: VISAPP), 2022)

Neural architecture search: A contemporary literature review for computer vision applications. - Matt Poyser; Toby P. Breckon (Pattern Recognit., 2024)

DDS-NAS: Dynamic data selection within neural architecture search via on-line hard example mining applied to image classification. - Matt Poyser; Toby P. Breckon (Pattern Recognit., 2026)