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Maurizio Martina

3 accepted papers

2022

LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor

IROS 2022poster

Autonomous Driving (AD) related features represent important elements for the next generation of mobile robots and autonomous vehicles focused on increasingly intelligent, autonomous, and interconnected systems. The applications involving the use of these features must provide, by definition, real-t…

Cited by 20SourceScholar
2021

R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors

IROS 2021poster

Spiking Neural Networks (SNNs) aim at providing energy-efficient learning capabilities when implemented on neuromorphic chips with event-based Dynamic Vision Sensors (DVS). This paper studies the robustness of SNNs against adversarial attacks on such DVS-based systems, and proposes R-SNN, a novel me…

Cited by 18SourcecodeScholar
2019

A Novel Framework for Designing Directional Linear Transforms with Application to Video Compression

ICASSP 2019accepted

Transforms incorporating directional information are appealing in a wide range of applications. In this paper, we introduce a new framework that allows to define a directional transform starting from any two-dimensional separable transform. The proposed method is highly general and it can be of inte…

Cited by 0SourceScholar