Manuele Rusci — accepted AI-conference papers

2025

Self-Incremental Training for Personalized Voice Command Recognition in a Wireless Audio Sensor Network

Manuele Rusci, Hugo Van hamme, Tinne Tuytelaars

ICASSP 2025accepted

This paper studies self-incremental training in the context of personalized Deep Neural Networks (DNNs) for voice command recognition tailored for resource-constrained sensor nodes. The learning task runs when new unsupervised data becomes available within a Wireless Audio Sensor Network (WASN). Aft…

Cited by 0 Source ↗Scholar ↗

2024

On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors

Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi

ICRA 2024poster

Sub-50g nano-drones are gaining momentum in both academia and industry. Their most compelling applications rely on onboard deep learning models for perception despite severe hardware constraints (i.e., sub-100mW processor). When deployed in unknown environments not represented in the training data,…

Cited by 1 Source ↗Scholar ↗