Manuele Rusci

54 papers A* 1A 2C 3Misc 2Journal 29Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient On-Device Domain Learning for Keyword Spotting on Ultra-Low-Power Platforms.
IEEE Internet Things J.
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
2026 J jnl
Multimodal On-Device Learning for Monocular Depth Estimation on Ultralow-Power MCUs.
IEEE Internet Things J.
Davide Nadalini, Manuele Rusci, Elia Cereda, Luca Benini, Francesco Conti, Daniele Palossi
2025 J jnl
Multi-modal On-Device Learning for Monocular Depth Estimation on Ultra-low-power MCUs.
CoRR
Davide Nadalini, Manuele Rusci, Elia Cereda, Luca Benini, Francesco Conti, Daniele Palossi
2025 Misc conf
Self-Incremental Training for Personalized Voice Command Recognition in a Wireless Audio Sensor Network.
ICASSP
Manuele Rusci, Hugo Van hamme, Tinne Tuytelaars
2025 J jnl
Self-Learning for Personalized Keyword Spotting on Ultralow-Power Audio Sensors.
IEEE Internet Things J.
Manuele Rusci, Francesco Paci, Marco Fariselli, Eric Flamand, Tinne Tuytelaars
2024 — conf
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems.
CVPR Workshops
Luca Bompani, Manuele Rusci, Daniele Palossi, Francesco Conti, Luca Benini
2024 J jnl
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems.
CoRR
Luca Bompani, Manuele Rusci, Daniele Palossi, Francesco Conti, Luca Benini
2024 — conf
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems.
AICAS
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
2024 J jnl
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems.
CoRR
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
2024 A* conf
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors.
ICRA
Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi
2024 J jnl
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors.
CoRR
Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi
2024 J jnl
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors.
CoRR
Manuele Rusci, Francesco Paci, Marco Fariselli, Eric Flamand, Tinne Tuytelaars
2024 — conf
Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units.
CVPR Workshops
Francesco Paissan, Davide Nadalini, Manuele Rusci, Alberto Ancilotto, Francesco Conti, Luca Benini, Elisabetta Farella
2023 A conf
Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones.
DATE
Lorenzo Lamberti, Luca Bompani, Victor Javier Kartsch, Manuele Rusci, Daniele Palossi, Luca Benini
2023 J jnl
Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones.
CoRR
Lorenzo Lamberti, Luca Bompani, Victor Javier Kartsch, Manuele Rusci, Daniele Palossi, Luca Benini
2023 A conf
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems.
INTERSPEECH
Manuele Rusci, Tinne Tuytelaars
2023 J jnl
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems.
CoRR
Manuele Rusci, Tinne Tuytelaars
2023 — conf
Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization.
DCOSS-IoT
Mahyar Pourjabar, Ahmed AlKatheeri, Manuele Rusci, Agata Barcis, Vlad Niculescu, Eliseo Ferrante, Daniele Palossi, Luca Benini
2023 J jnl
Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization.
CoRR
Mahyar Pourjabar, Ahmed AlKatheeri, Manuele Rusci, Agata Barcis, Vlad Niculescu, Eliseo Ferrante, Daniele Palossi, Luca Benini
2023 — conf
Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration.
ICECS
Mahyar Pourjabar, Manuele Rusci, Luca Bompani, Lorenzo Lamberti, Vlad Niculescu, Daniele Palossi, Luca Benini
2023 J jnl
Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration.
CoRR
Mahyar Pourjabar, Manuele Rusci, Luca Bompani, Lorenzo Lamberti, Vlad Niculescu, Daniele Palossi, Luca Benini
2023 J jnl
On-Device Customization of Tiny Deep Learning Models for Keyword Spotting With Few Examples.
IEEE Micro
Manuele Rusci, Tinne Tuytelaars
2023 J jnl
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers.
CoRR
Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti
2023 J jnl
Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers.
Future Gener. Comput. Syst.
Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti
2022 — conf
Accelerating RNN-Based Speech Enhancement on a Multi-core MCU with Mixed FP16-INT8 Post-training Quantization.
PKDD/ECML Workshops (1)
Manuele Rusci, Marco Fariselli, Martin Croome, Francesco Paci, Eric Flamand
2022 J jnl
Accelerating RNN-based Speech Enhancement on a Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantization.
CoRR
Manuele Rusci, Marco Fariselli, Martin Croome, Francesco Paci, Eric Flamand
2022 — conf
PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning.
SAMOS
Davide Nadalini, Manuele Rusci, Giuseppe Tagliavini, Leonardo Ravaglia, Luca Benini, Francesco Conti
2022 — conf
Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting.
AICAS
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
2021 J jnl
A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini
2021 J jnl
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays.
CoRR
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini
2021 — conf
Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs.
AICAS
Marco Fariselli, Manuele Rusci, Joel Cambonie, Eric Flamand
2021 C conf
Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System.
ISCAS
Lorenzo Lamberti, Manuele Rusci, Marco Fariselli, Francesco Paci, Luca Benini
2021 C conf
Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles.
ISCAS
Miguel de Prado, Manuele Rusci, Romain Donze, Alessandro Capotondi, Serge Monnerat, Luca Benini, Nuria Pazos
2021 J jnl
Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles.
Sensors
Miguel de Prado, Manuele Rusci, Alessandro Capotondi, Romain Donze, Luca Benini, Nuria Pazos
2020 J jnl
BrightNet: A Deep CNN for OLED-Based Point of Care Immunofluorescent Diagnostic Systems.
IEEE Trans. Instrum. Meas.
Andrea Samore, Manuele Rusci, Damiana Lazzaro, Patrizia Melpignano, Luca Benini, Serena Morigi
2020 J jnl
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices.
IEEE Trans. Circuits Syst. II Express Briefs
Alessandro Capotondi, Manuele Rusci, Marco Fariselli, Luca Benini
2020 — conf
Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers.
IoT Streams/ITEM@PKDD/ECML
Manuele Rusci, Marco Fariselli, Alessandro Capotondi, Luca Benini
2020 J jnl
Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers.
CoRR
Manuele Rusci, Marco Fariselli, Alessandro Capotondi, Luca Benini
2020 — conf
Memory-Driven Mixed Low Precision Quantization for Enabling Deep Network Inference on Microcontrollers.
MLSys
Manuele Rusci, Alessandro Capotondi, Luca Benini
2020 — conf
Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node.
SiPS
Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini
2020 J jnl
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node.
CoRR
Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini
2020 J jnl
Robust navigation with tinyML for autonomous mini-vehicles.
CoRR
Miguel de Prado, Romain Donze, Alessandro Capotondi, Manuele Rusci, Serge Monnerat, Luca Benini, Nuria Pazos
2019 — conf
An Energy Optimized JPEG Encoder for Parallel Ultra-Low-Power Processing-Platforms.
ApplePies
Tommaso Polonelli, Daniele Battistini, Manuele Rusci, Davide Brunelli, Luca Benini
2019 J jnl
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers.
CoRR
Manuele Rusci, Alessandro Capotondi, Luca Benini
2019 — conf
PULP-NN: A Computing Library for Quantized Neural Network inference at the edge on RISC-V Based Parallel Ultra Low Power Clusters.
ICECS
Angelo Garofalo, Manuele Rusci, Francesco Conti, Davide Rossi, Luca Benini
2019 J jnl
PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors.
CoRR
Angelo Garofalo, Manuele Rusci, Francesco Conti, Davide Rossi, Luca Benini
2018 — conf
Always-ON visual node with a hardware-software event-based binarized neural network inference engine.
CF
Manuele Rusci, Davide Rossi, Eric Flamand, Massimo Gottardi, Elisabetta Farella, Luca Benini
2018 C conf
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?
ISCAS
Manuele Rusci, Lukas Cavigelli, Luca Benini
2018 Misc conf
Quantized NNs as the definitive solution for inference on low-power ARM MCUs?: work-in-progress.
CODES+ISSS
Manuele Rusci, Alessandro Capotondi, Francesco Conti, Luca Benini
2017 J jnl
A Sub-mW IoT-Endnode for Always-On Visual Monitoring and Smart Triggering.
IEEE Internet Things J.
Manuele Rusci, Davide Rossi, Elisabetta Farella, Luca Benini
2017 J jnl
A sub-mW IoT-endnode for always-on visual monitoring and smart triggering.
CoRR
Manuele Rusci, Davide Rossi, Elisabetta Farella, Luca Benini
2017 J jnl
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?
CoRR
Manuele Rusci, Lukas Cavigelli, Luca Benini
2017 — conf
Technologies for a Thing-Centric Internet of Things.
FiCloud
Elisabetta Farella, Manuele Rusci, Bojan Milosevic, Amy L. Murphy
2016 — conf
Energy-efficient design of an always-on smart visual trigger.
ISC2
Manuele Rusci, Davide Rossi, Michela Lecca, Massimo Gottardi, Luca Benini, Elisabetta Farella