9 papers
TACO: Trajectory Aligning Cross-view Optimisation
Tavis Shore, Oscar Mendez, Simon Hadfield
Cross-View Geo-localisation (CVGL) matches ground imagery against satellite tiles to give absolute position fixes, an alternative to GNSS where signals are occluded, jammed, or spo…
Multi-Domain Learning with Global Expert Mapping
Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou +3
Human perception generalizes well across different domains, but most vision models struggle beyond their training data. This gap motivates multi-dataset learning, where a single mo…
FeatureSLAM: Feature-enriched 3D gaussian splatting SLAM in real time
Christopher Thirgood, Oscar Mendez, Erin Ling +2
We present a real-time tracking SLAM system that unifies efficient camera tracking with photorealistic feature-enriched mapping using 3D Gaussian Splatting (3DGS). Our main contrib…
HYDRA: HYbrid knowledge Distillation and spectral Reconstruction Algorithm for high channel hyperspectral camera applications
Christopher Thirgood, Oscar Mendez, Erin Ling +2
Hyperspectral images (HSI) promise to support a range of new applications in computer vision. Recent research has explored the feasibility of generalizable Spectral Reconstruction…
VICI: VLM-Instructed Cross-view Image-localisation
Xiaohan Zhang, Tavis Shore, Chen Chen +3
In this paper, we present a high-performing solution to the UAVM 2025 Challenge, which focuses on matching narrow FOV street-level images to corresponding satellite imagery using t…
HyperGS: Hyperspectral 3D Gaussian Splatting
Christopher Thirgood, Oscar Mendez, Erin Chao Ling +2
We introduce HyperGS, a novel framework for Hyperspectral Novel View Synthesis (HNVS), based on a new latent 3D Gaussian Splatting (3DGS) technique. Our approach enables simultaneo…
PEnG: Pose-Enhanced Geo-Localisation
Tavis Shore, Oscar Mendez, Simon Hadfield
Cross-view Geo-localisation is typically performed at a coarse granularity, because densely sampled satellite image patches overlap heavily. This heavy overlap would make disambigu…
SpaGBOL: Spatial-Graph-Based Orientated Localisation
Tavis Shore, Oscar Mendez, Simon Hadfield
Cross-View Geo-Localisation within urban regions is challenging in part due to the lack of geo-spatial structuring within current datasets and techniques. We propose utilising grap…
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation
Tavis Shore, Simon Hadfield, Oscar Mendez
Cross-view image matching for geo-localisation is a challenging problem due to the significant visual difference between aerial and ground-level viewpoints. The method provides loc…