collaborators

19 papers

cs.RO2026

Quantile Transfer for Reliable Operating Point Selection in Visual Place Recognition

Dhyey Manish Rajani, Michael Milford, Tobias Fischer

Visual Place Recognition (VPR) is a key component for localization in Global Navigation Satellite System (GNSS)-denied environments, but its performance critically depends on selec…

cs.CV2026

DisPlace: Discriminative Place Projections for Multi-Reference Visual Place Recognition

Dhyey Manish Rajani, Michael Milford, Tobias Fischer

A key challenge in Visual Place Recognition (VPR) is matching query images against reference maps captured under diverse environmental conditions and viewpoints. While multiple ref…

cs.RO2026

Event-Based Visual Teach-and-Repeat via Fast Fourier-Domain Cross-Correlation

Gokul B. Nair, Alejandro Fontan, Michael Milford +1

Visual teach-and-repeat (VT&R) navigation enables robots to autonomously traverse previously demonstrated paths using visual feedback. We present a novel event-camera-based VT\&R s…

cs.CV2026

EventGeM: Global-to-Local Feature Matching for Event-Based Visual Place Recognition

Adam D. Hines, Gokul B. Nair, Nicolás Marticorena +2

Dynamic vision sensors, also known as event cameras, are rapidly rising in popularity for robotic and computer vision tasks due to their sparse activation and high-temporal resolut…

cs.CV2026

Automatic Map Density Selection for Locally-Performant Visual Place Recognition

Somayeh Hussaini, Tobias Fischer, Michael Milford

A key challenge in translating Visual Place Recognition (VPR) from the lab to long-term deployment is ensuring a priori that a system can meet user-specified performance requiremen…

cs.RO2026

Event-LAB: Towards Standardized Evaluation of Neuromorphic Localization Methods

Adam D. Hines, Alejandro Fontan, Michael Milford +1

Event-based localization research and datasets are a rapidly growing area of interest, with a tenfold increase in the cumulative total number of published papers on this topic over…