About

I am a Computer Science PhD student in my final year of study at Durham University. I work on situational awareness for autonomous driving. My primary research interests are centered around perception for self-driving vehicles, computer vision, machine learning and more specifically deep learning, object detection and tracking, visual question answering and related challenges. This project is sponsored by Jaguar Land Rover and EPSRC.

I also work part-time as a software consultant on machine learning and image analysis with Intogral Limited.

Publications

• Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery (G. Payen de La Garanderie, A. Atapour Abarghouei, T.P. Breckon), In Proc. European Conference on Computer Vision, Springer, 2018. (to appear) [arxiv] [project page].
• Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo (G. Payen de La Garanderie, T.P Breckon), In Proceedings of the British Machine Vision Conference, 2014 [pdf]
• Real-time Classification of Vehicle Types within Infra-red Imagery (M.E. Kundegorski, S. Akçay, G. Payen de La Garanderie, T.P. Breckon), In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence [pdf]
• Back to Butterworth - a Fourier Basis for 3D Surface Relief Hole Filling within RGB-D Imagery (A. Atapour-Abarghouei, G. Payen de La Garanderie, T.P. Breckon), In Proc. International Conference on Pattern Recognition [pdf]