About Me
Hi! I am Brian, I am an AI Engineer @ OpenWorks Engineering, currently based in the North East of England. My current work is focused in object detection and tracking optimised for edge devices, including implementation of SOTA techniques as well as evaluating current trends in computer vision applied to different business needs. Additionally, I do research focused in Machine Learning for computer vision, with a focus on anomaly detection and out-of-distribution detection. My former research also includes multi-view geometry, object detection, Vision Transformers and neural radiance fields.
I hold a PhD and an MsC in Computer Science from Durham University and an Engineering degree from the Autonomous University of Yucatan, Mexico, and currently I am a mentor for LatinX in AI. If you have any idea of a project or you want to collaborate, reach out!
News!
- [15 Jul 2025] Started a new position as AI Engineer at [OpenWorks Engineering](https://openworksengineering.com)!
- [25 Jun 2025] Paper accepted at ICCV 2025.
- [1 Jun 2025] Two workshop papers accepted at CVPR 2025.
- [1 Jul 2024] Paper accepted at ECCV 2024.
- [7 Apr 2024] Workshop paper accepted at PBVS 2024.
Publications
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
Brian K. S. Isaac-Medina,
Mauricio Che,
Yona F. A. Gaus,
Samet Akcay,
Toby P. Breckon
ICCV (to appear), 2025
arXiv
code
bibtex
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection
Brian K. S. Isaac-Medina,
Toby P. Breckon
LatinX in AI, CVPR Workshop, 2025
arXiv
code
Semi-supervised Object-Wise Anomaly Detection for Firearm and Firearm Component Detection in X-ray Security Imagery
Yona F. A. Gaus, Brian K. S. Isaac-Medina,
Neelanjan Bhowmik, Yee T. Lam,
Toby P. Breckon
VAND, CVPR Workshop, 2025
paper
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
Brian K. S. Isaac-Medina,
Yona F. A. Gaus,
Neelanjan Bhowmik,
Toby P. Breckon
ECCV, 2024
arXiv
code
bibtex
poster
On Deep Machine Learning for Multi-view Object Detection and Neural Scene Rendering
Brian K. S. Isaac-Medina
PhD Thesis, 2024
Performance Evaluation of Segment Anything Model with Variational prompting for Application to Non-Visible Spectrum Imagery
Yona F. A. Gaus,
Neelanjan Bhowmik, Brian K. S. Isaac-Medina,
Toby P. Breckon
PBVS (CVPR Workshop), 2024
paper
arXiv
code
bibtex
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
paper
arXiv
code
presentation
bibtex
Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
Yona F. A. Gaus,
Neelanjan Bhowmik, Brian K. S. Isaac-Medina,
Amir Atapour-Abarghouei,
Hubert P. H. Shum,
Toby P. Breckon
VAND (CVPR Workshop), 2023
paper
demo
presentation
bibtex
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
PBVS (CVPR Workshop), 2023
paper
bibtex
Multi-view Vision Transformers for Object Detection
Brian K. S. Isaac-Medina,
Chris G. Willcocks,
Toby P. Breckon
ICPR, 2022
paper
code
presentation
poster
bibtex
Cross-modal Image Synthesis in Dual-Energy X-Ray Security Imagery
Brian K. S. Isaac-Medina,
Neelanjan Bhowmik,
Chris G. Willcocks,
Toby P. Breckon
PBVS (CVPR Workshop), 2022
paper
bibtex
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
CoRR, 2021
paper
arXiv
code
bibtex
Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark
Brian K. S. Isaac-Medina,
Matthew Poyser,
Daniel Organisciak,
Chris G. Willcocks,
Toby P. Breckon,
Hubert P. H. Shum
ICCV Workshop, 2021
paper
arXiv
code
demo
bibtex
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
paper
code
presentation
poster
bibtex
Visible to Infrared Transfer Learning as a Paradigm for Accessible Real-time Object Detection and Classification in Infrared Imagery
Yona F. A. Gaus,
Neelanjan Bhowmik, Brian K. S. Isaac-Medina,
Toby P. Breckon
Proc. Conf. Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies, 2020
paper
demo
bibtex
Projects
Tracking Drones Across Different Platforms with Machine Vision Security Technology Research Innovation Grants Programme (S-TRIG)
Project Website
Providing the UK government with extra capacity to identify and counter hostile drones.
Education
Durham University
PhD Computer Science
Department of Computer Science, 2019 - 2024
A globally outstanding centre of teaching and research excellence, a collegiate community of extraordinary people, a unique and historic setting – Durham is a university like no other.
I did my PhD in the Department of Computer Science at Durham University from 2019 to 2024. I worked under the supervision of Prof. Toby Breckon and I worked in a project for automatic detection of threat items in X-ray security imagery in airports, focusing specifically in the incorporation of multi-view geometry. I also did some research in NeRFs. I received a scholarship from the Mexican Council of Science and Technology (CONACyT) for this period. I was the president of the Durham Mexican Society for the 2020/21 academic year.
Durham University
MSc Internet Systems and E-Business
Department of Computer Science, 2017 - 2018
During my time in the Masters at Durham University I was able to develop my skills as a software developer and project manager. I also got a CONACyT scholarship for this period.
Universidad Autónoma de Yucatán
BEng (Mechatronics)
Faculty of Engineering, 2011 - 2016
La Facultad de Ingeniería tiene como misión la formación integral de recursos humanos, a nivel profesional y de posgrado, en las áreas de las ingenierías y la contribución al avance científico y tecnológico para el desarrollo sostenible de la sociedad.
I did my BEng (Metchatronics) (Licenciatura under the Mexican education system) at the Universidad Autónoma de Yucatán, Mexico. Although my current research is focused in Computer Vision, my early formation in engineering gave me the skills to develop embedded and robotic systems. My undergrad thesis was developed under the supervision of Dr. Francis Avilés.
A Little More About Me
Apart from my work in computer vision, I also enjoy music! I’ve been part of a few band at Durham where I play the drums and the bass. I played the bass with the CVPR houseband since 2023.