collaborators

7 papers

cs.CV2026

Geometry-Conditioned Visual Place Recognition in Natural Environments

Walter Nedov, Saimunur Rahman, Kavindie Katuwandeniya +3

Visual Place Recognition (VPR) in natural environments remains challenging due to repetitive vegetation, sparse distinctive landmarks, and substantial appearance and viewpoint vari…

cs.RO2026

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation

Mikołaj Zieliński, David Hall, Dominik Belter +1

In this paper, we present NEO, a unified framework providing language-guided NeRF editing for robotic manipulation. Our paper introduces (i) a language-guided object removal that c…

cs.CV2026

Visual Place Recognition in Forests with Depth-Aware Distillation

Walter Nedov, Saimunur Rahman, Kavindie Katuwandeniya +3

Visual place recognition in natural forest environments remains challenging due to repetitive vegetation, weak structural cues, and significant appearance variation across traversa…

cs.CV2026

Cross-Modal Benchmarking for Robotic Perception in Natural Environments

David Hall, Joshua Knights, Mark Cox +1

Natural environments present a complex challenge to robotics perception systems. Current models, particularly vision foundation models, are largely trained on structured, urban env…

cs.CV2026

WildCross: A Cross-Modal Large Scale Benchmark for Place Recognition and Metric Depth Estimation in Natural Environments

Joshua Knights, Joseph Reid, Kaushik Roy +3

Recent years have seen a significant increase in demand for robotic solutions in unstructured natural environments, alongside growing interest in bridging 2D and 3D scene understan…

cs.RO2024

Object Registration in Neural Fields

David Hall, Stephen Hausler, Sutharsan Mahendren +1

Neural fields provide a continuous scene representation of 3D geometry and appearance in a way which has great promise for robotics applications. One functionality that unlocks uni…

cs.RO2024

Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields

Stephen Hausler, David Hall, Sutharsan Mahendren +1

Neural fields, coordinate-based neural networks, have recently gained popularity for implicitly representing a scene. In contrast to classical methods that are based on explicit re…