Tavis Shore

I'm a PhD researcher in Computer Vision at the University of Surrey currently working on cross-view geo-localisation. I work with Dr. Oscar Mendez and Dr. Simon Hadfield in the Centre for Vision, Speech and Signal Processing (CVSSP). My research focuses on developing novel deep learning approaches for precise localisation using ground-level and satellite imagery. My work aims to enhance the real-world applicability of vision-based localisation systems. I've developed several innovative approaches including PEnG, which combines coarse geo-localisation with precise pose estimation, and SpaGBOL, which leverages graph neural networks to model spatial relationships between locations. I'm particularly interested in making these systems work with realistic constraints like limited field-of-view cameras and urban environments.