activity
20232026
collaborators

13 papers

cs.CV2026

TIDES: Time-Derivative Event Simulation via Deformable Reconstruction

Christopher Thirgood, Dipon Kumar Ghosh, Simon Hadfield

Event cameras emit asynchronous events in response to environmental appearance changes. The scarcity of real-world event datasets makes simulation essential. However, most simulato…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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.…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2023

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…

cs.CV2023

ZeST-NeRF: Using temporal aggregation for Zero-Shot Temporal NeRFs

Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson +2

In the field of media production, video editing techniques play a pivotal role. Recent approaches have had great success at performing novel view image synthesis of static scenes.…