Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery. - Brian K. S. Isaac-Medina; Chris G. Willcocks; 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)

Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery. - Brian K. S. Isaac-Medina; Neelanjan Bhowmik; Chris G. Willcocks; Toby P. Breckon (CVPR Workshops, 2022)

Multi-view Vision Transformers for Object Detection. - Brian K. S. Isaac-Medina; Chris G. Willcocks; Toby P. Breckon (ICPR, 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)

Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Brian K. S. Isaac-Medina; Hubert P. H. Shum; Amir Atapour-Abarghouei; Toby P. Breckon (CVPR Workshops, 2023)

Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields. - Brian K. S. Isaac-Medina; Chris G. Willcocks; Toby P. Breckon (CVPR, 2023)

Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection Benchmark Datasets for X-ray Security Screening. - Brian K. S. Isaac-Medina; Seyma Yucer; Neelanjan Bhowmik; Toby P. Breckon (CVPR Workshops, 2023)

Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. - Yona Falinie A. Gaus; Neelanjan Bhowmik; Brian K. S. Isaac-Medina; Toby P. Breckon (CVPR Workshops, 2024)

Towards Open-World Object-Based Anomaly Detection via Self-Supervised Outlier Synthesis. - Brian K. S. Isaac-Medina; Yona Falinie A. Gaus; Neelanjan Bhowmik; Toby P. Breckon (ECCV (71), 2024)

FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection. - Brian K. S. Isaac-Medina; Mauricio Che; Yona Falinie Binti A. Gaus; Samet Akcay; Toby P. Breckon (CoRR, 2024)

Semi-supervised Object-Wise Anomaly Detection for Firearm and Firearm Component Detection in X-ray Security Imagery. - Yona Falinie A. Gaus; Brian K. S. Isaac-Medina; Neelanjan Bhowmik; Yam T. Lee; Toby P. Breckon (CVPR Workshops, 2025)

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection. - Brian K. S. Isaac-Medina; Toby P. Breckon (CoRR, 2025)