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ORCIDBrian K. S. Isaac-Medina
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2020 – today
- 2024
[c10]Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Toby P. Breckon:
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. CVPR Workshops 2024: 3142-3152- [c9]Brian K. S. Isaac-Medina, Yona Falinie A. Gaus, Neelanjan Bhowmik, Toby P. Breckon:
Towards Open-World Object-Based Anomaly Detection via Self-Supervised Outlier Synthesis. ECCV (71) 2024: 196-214 - [i5]Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Toby P. Breckon:
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. CoRR abs/2404.12285 (2024) - [i4]Brian K. S. Isaac-Medina, Yona Falinie A. Gaus, Neelanjan Bhowmik, Toby P. Breckon:
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis. CoRR abs/2407.15763 (2024) - 2023
- [c8]Brian K. S. Isaac-Medina, Chris G. Willcocks
, Toby P. Breckon:
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields. CVPR 2023: 66-75 - [c7]Brian K. S. Isaac-Medina, Seyma Yucer, Neelanjan Bhowmik, Toby P. Breckon:
Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection Benchmark Datasets for X-ray Security Screening. CVPR Workshops 2023: 524-533 - [c6]Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei, Toby P. Breckon:
Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery. CVPR Workshops 2023: 2995-3005 - 2022
- [c5]Brian K. S. Isaac-Medina, Neelanjan Bhowmik, Chris G. Willcocks, Toby P. Breckon:
Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery. CVPR Workshops 2022: 332-340 - [c4]Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon:
Multi-view Vision Transformers for Object Detection. ICPR 2022: 4678-4684 - [c3]Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon, Hubert P. H. Shum:
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery. VISIGRAPP (4: VISAPP) 2022: 136-146 - [i3]Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon:
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields. CoRR abs/2211.12285 (2022) - 2021
- [c2]Brian K. S. Isaac-Medina, Matt Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon, Hubert P. H. Shum:
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. ICCVW 2021: 1223-1232 - [i2]Brian K. S. Isaac-Medina, Matt Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon, Hubert P. H. Shum:
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. CoRR abs/2103.13933 (2021) - [i1]Daniel Organisciak, Brian K. S. Isaac-Medina, Matthew Poyser, Shanfeng Hu, Toby P. Breckon, Hubert P. H. Shum:
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification. CoRR abs/2104.06219 (2021) - 2020
- [c1]Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon:
Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery. ICPR 2020: 9889-9896
Coauthor Index
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