6 papers · 1 filter
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…
RenDetNet: Weakly-supervised Shadow Detection with Shadow Caster Verification
Nikolina Kubiak, Elliot Wortman, Armin Mustafa +3
Existing shadow detection models struggle to differentiate dark image areas from shadows. In this paper, we tackle this issue by verifying that all detected shadows are real, i.e.…
Single-image coherent reconstruction of objects and humans
Sarthak Batra, Partha P. Chakrabarti, Simon Hadfield +1
Existing methods for reconstructing objects and humans from a monocular image suffer from severe mesh collisions and performance limitations for interacting occluding objects. This…
S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal
Nikolina Kubiak, Armin Mustafa, Graeme Phillipson +2
In this paper we present S3R-Net, the Self-Supervised Shadow Removal Network. The two-branch WGAN model achieves self-supervision relying on the unify-and-adaptphenomenon - it unif…