Author

Michael Milford

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Preprint Oct 2026

Removing the Compute Bottleneck for Event-based Visual Place Recognition with Spiking Neural Networks

This paper trains a two-layer spiking neural network (SNN) with additive spike-timing-dependent plasticity (STDP), which drives the learned weight matrix towards a strongly bimodal distribution, amenable to aggressive magnitude pruning, and suggests that the sparsity of both event-based input and learned weights can al...

Somayeh Hussaini, Tobias Fischer, Michael Milford · 0 citations

Preprint Sep 2026

The EventCV Library for Event-Based Robotic Vision

EventCV, an open-source and extensible Rust library with OpenCV-style Python bindings that lowers the entry barrier to working with event cameras, is presented and three robotics case studies spanning object detection, on-device model inference, and localization are presented.

Adam D. Hines, Michael Milford, Tobias Fischer · 0 citations

Preprint Sep 2026

Multi-viewpoint Geo-localization with Event Cameras

This work converts five large-scale geo-tagged datasets into synthetic event streams using Image-to-Event (I2E) conversion, and uses them to fine-tune a pre-trained event-based vision transformer backbone with a multi-loss function, yielding a system called MegaEvent that learns viewpoint-robust features for place reco...

Adam D. Hines, Michael Milford, Tobias Fischer · 0 citations