1 citations · 2 across the 3 of their papers we have counts for
10 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…
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…
The Third Monocular Depth Estimation Challenge
Jaime Spencer, Fabio Tosi, Matteo Poggi +38
This paper discusses the results of the third edition of the Monocular Depth Estimation Challenge (MDEC). The challenge focuses on zero-shot generalization to the challenging SYNS-…
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…
Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV
Jaime Spencer, Chris Russell, Simon Hadfield +1
Self-supervised learning is the key to unlocking generic computer vision systems. By eliminating the reliance on ground-truth annotations, it allows scaling to much larger data qua…