1 citations · 1 across the 4 of their papers we have counts for
6 papers
Event-based Selective Attention for Multi-resolution Fast Region of Interest (ROI) Detection
Luca Peres, Giulia D'Angelo, Chiara Bartolozzi +1
Neuromorphic vision systems operate under strict constraints on bandwidth, memory, and energy, particularly at the edge, motivating early mechanisms for data reduction and selectiv…
ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classification
M. Middleton, H. Kayan, B. Sen Bhattacharya +7
Object classification in event-based computer vision is a task that is attracting considerable research attention. Event-based object classification is a fundamental task in the fi…
A Neuromorphic Trigger for Efficient Audio Event Detection
Benjamin Hatton, Oliver Rhodes, Luca Peres
Efficient processing of continuous audio streams remains a key challenge for real-time and resource-constrained systems. This paper introduces a neuromorphic trigger for audio even…
Modelling and Simulation of Neuromorphic Datasets for Anomaly Detection in Computer Vision
Mike Middleton, Teymoor Ali, Hakan Kayan +6
Limitations on the availability of Dynamic Vision Sensors (DVS) present a fundamental challenge to researchers of neuromorphic computer vision applications. In response, datasets h…
Neuromorphic Eye Tracking for Low-Latency Pupil Detection
Paul Hueber, Luca Peres, Florian Pitters +2
Eye tracking for wearable systems demands low latency and milliwatt-level power, but conventional frame-based pipelines struggle with motion blur, high compute cost, and limited te…
Hyperdimensional Decoding of Spiking Neural Networks
Cedrick Kinavuidi, Luca Peres, Oliver Rhodes
This work presents a novel spiking neural network (SNN) decoding method, combining SNNs with Hyperdimensional computing (HDC). The goal is to create a decoding method with high acc…