Research

Publications.

Work on event-based vision, robotic localisation, and efficient perception, alongside earlier research in neuroscience.

2026

EventCV ecosystem diagram connecting event cameras, recordings, and simulation to a shared vision pipeline.

PreprintarXiv

The EventCV Library for Event-Based Robotic Vision

Adam D. Hines, Michael Milford, Tobias Fischer

MegaEvent overview contrasting fixed-track localisation with multi-city, multi-viewpoint place recognition.

PreprintarXiv

Multi-viewpoint Geo-localization with Event Cameras

Adam D. Hines, Michael Milford, Tobias Fischer

EventGeM pipeline combining global feature retrieval and local feature matching.

PreprintarXiv

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

Adam D. Hines, Gokul B. Nair, Nicolás Marticorena, Michael Milford, Tobias Fischer

Event-LAB workflow from dataset preparation and frame generation to baseline evaluation.

AcceptedIEEE International Conference on Robotics and Automation (ICRA)

Event-LAB: Towards Standardized Evaluation of Neuromorphic Localization Methods

Adam D. Hines, Alejandro Fontan, Michael Milford, Tobias Fischer

Visual model activations and sparse Kenyon cell representations for flower images.

PreprintarXiv

A neuromorphic model of the insect visual system for natural image processing

Adam D. Hines, Karin Nordström, Andrew B. Barron

PreprintResearch Square

Learning complex stimuli with a honey bee brain: contrasting consequences on performance and flight behaviour from degrading configural versus featural information

M. G. Guiraud, Adam D. Hines, M. Jin, Andrew B. Barron

2025

Figure from A compact neuromorphic system for ultra-energy-efficient, on-device robot localization

Science Robotics

A compact neuromorphic system for ultra-energy-efficient, on-device robot localization

Adam D. Hines*, Michael Milford, Tobias Fischer

Figure from Threshold Adaptation in Spiking Networks Enables Shortest Path Finding and Place Disambiguation

IEEE Neuro Inspired Computational Elements (NICE)

Threshold Adaptation in Spiking Networks Enables Shortest Path Finding and Place Disambiguation

Robin Dietrich*, Tobias Fischer, Nicolai Waniek, Nico Reeb, Michael Milford, Alois Knoll, Adam D. Hines

Comparison of package management approaches for scientific computing and robotics.

PreprintarXiv

Pixi: Unified Software Development and Distribution for Robotics and AI

Tobias Fischer, Wolf Vollprecht, Bas Zalmstra, Ruben Arts, Tim de Jager, Alejandro Fontan, Adam D. Hines, Michael Milford, Silvio Traversaro, Daniel Claes, Scarlett Raine

2024

Figure from Synapse-specific trapping of SNARE machinery proteins in the anesthetized Drosophila brain

The Journal of Neuroscience

Synapse-specific trapping of SNARE machinery proteins in the anesthetized Drosophila brain

Adam D. Hines, Amber B. Kewin, Matthew N. Van De Poll, Victor Anggono, Adekunle T. Bademosi, Bruno van Swinderen*

Figure from VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place Recognition

IEEE International Conference on Robotics and Automation (ICRA)

VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place Recognition

Adam D. Hines, Peter G. Stratton, Michael Milford, Tobias Fischer

2021

Figure from Tracking Single Molecule Dynamics in the Adult Drosophila Brain

eNeuro

Tracking Single Molecule Dynamics in the Adult Drosophila Brain

Adam D. Hines, Bruno van Swinderen*

2020

Figure from Pharmacological activation of IKr in models of long QT Type 2 risks overcorrection of repolarization

Cardiovascular Research

Pharmacological activation of IKr in models of long QT Type 2 risks overcorrection of repolarization

Matthew D Perry*, Chai-Ann Ng, Melissa M Mangala, Timothy Y M Ng, Adam D Hines, Whitney Liang, Michelle J O Xu, Adam P Hill, Jamie I Vandenberg

Proceedings of the National Academy of Sciences

Turning to Drosophila for help in resolving general anesthesia

Bruno van Swinderen*, Adam D Hines