Manuele Rusci

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 46

Top Topics

License Plate Detection

Keyword Spotting

Ultra Low Power

Top Venues

Publications

Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors. ICRA (2024)
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. AICAS (2024)
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. CoRR (2024)
Luca Bompani, Manuele Rusci, Daniele Palossi, Francesco Conti, Luca Benini
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems. CoRR (2024)
Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors. CoRR (2024)
Mahyar Pourjabar, Manuele Rusci, Luca Bompani, Lorenzo Lamberti, Vlad Niculescu, Daniele Palossi, Luca Benini
Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration. ICECS (2023)
Manuele Rusci, Tinne Tuytelaars
On-Device Customization of Tiny Deep Learning Models for Keyword Spotting With Few Examples. IEEE Micro 43 (6) (2023)
Lorenzo Lamberti, Luca Bompani, Victor Javier Kartsch, Manuele Rusci, Daniele Palossi, Luca Benini
Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones. CoRR (2023)
Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti
Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers. Future Gener. Comput. Syst. 149 (2023)
Manuele Rusci, Tinne Tuytelaars
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems. INTERSPEECH (2023)
Mahyar Pourjabar, Ahmed AlKatheeri, Manuele Rusci, Agata Barcis, Vlad Niculescu, Eliseo Ferrante, Daniele Palossi, Luca Benini
Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization. CoRR (2023)
Manuele Rusci, Tinne Tuytelaars
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems. CoRR (2023)
Mahyar Pourjabar, Manuele Rusci, Luca Bompani, Lorenzo Lamberti, Vlad Niculescu, Daniele Palossi, Luca Benini
Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration. CoRR (2023)
Lorenzo Lamberti, Luca Bompani, Victor Javier Kartsch, Manuele Rusci, Daniele Palossi, Luca Benini
Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones. DATE (2023)
Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers. CoRR (2023)
Mahyar Pourjabar, Ahmed AlKatheeri, Manuele Rusci, Agata Barcis, Vlad Niculescu, Eliseo Ferrante, Daniele Palossi, Luca Benini
Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization. DCOSS-IoT (2023)
Manuele Rusci, Marco Fariselli, Martin Croome, Francesco Paci, Eric Flamand
Accelerating RNN-based Speech Enhancement on a Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantization. CoRR (2022)
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting. AICAS (2022)
Davide Nadalini, Manuele Rusci, Giuseppe Tagliavini, Leonardo Ravaglia, Luca Benini, Francesco Conti
PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning. SAMOS (2022)
Manuele Rusci, Marco Fariselli, Martin Croome, Francesco Paci, Eric Flamand
Accelerating RNN-Based Speech Enhancement on a Multi-core MCU with Mixed FP16-INT8 Post-training Quantization. PKDD/ECML Workshops (1) (2022)
Marco Fariselli, Manuele Rusci, Joel Cambonie, Eric Flamand
Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs. AICAS (2021)
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays. CoRR (2021)
Lorenzo Lamberti, Manuele Rusci, Marco Fariselli, Francesco Paci, Luca Benini
Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System. ISCAS (2021)
Miguel de Prado, Manuele Rusci, Alessandro Capotondi, Romain Donze, Luca Benini, Nuria Pazos
Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. Sensors 21 (4) (2021)
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini
A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Miguel de Prado, Manuele Rusci, Romain Donze, Alessandro Capotondi, Serge Monnerat, Luca Benini, Nuria Pazos
Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. ISCAS (2021)
Manuele Rusci, Alessandro Capotondi, Luca Benini
Memory-Driven Mixed Low Precision Quantization for Enabling Deep Network Inference on Microcontrollers. MLSys (2020)
Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node. CoRR (2020)
Manuele Rusci, Marco Fariselli, Alessandro Capotondi, Luca Benini
Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers. CoRR (2020)
Andrea Samore, Manuele Rusci, Damiana Lazzaro, Patrizia Melpignano, Luca Benini, Serena Morigi
BrightNet: A Deep CNN for OLED-Based Point of Care Immunofluorescent Diagnostic Systems. IEEE Trans. Instrum. Meas. 69 (9) (2020)
Alessandro Capotondi, Manuele Rusci, Marco Fariselli, Luca Benini
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices. IEEE Trans. Circuits Syst. II Express Briefs (5) (2020)
Miguel de Prado, Romain Donze, Alessandro Capotondi, Manuele Rusci, Serge Monnerat, Luca Benini, Nuria Pazos
Robust navigation with tinyML for autonomous mini-vehicles. CoRR (2020)
Manuele Rusci, Marco Fariselli, Alessandro Capotondi, Luca Benini
Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers. IoT Streams/ITEM@PKDD/ECML (2020)
Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini
Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. SiPS (2020)
Angelo Garofalo, Manuele Rusci, Francesco Conti, Davide Rossi, Luca Benini
PULP-NN: A Computing Library for Quantized Neural Network inference at the edge on RISC-V Based Parallel Ultra Low Power Clusters. ICECS (2019)
Angelo Garofalo, Manuele Rusci, Francesco Conti, Davide Rossi, Luca Benini
PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors. CoRR (2019)
Tommaso Polonelli, Daniele Battistini, Manuele Rusci, Davide Brunelli, Luca Benini
An Energy Optimized JPEG Encoder for Parallel Ultra-Low-Power Processing-Platforms. ApplePies (2019)
Manuele Rusci, Alessandro Capotondi, Luca Benini
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers. CoRR (2019)
Manuele Rusci, Alessandro Capotondi, Francesco Conti, Luca Benini
Quantized NNs as the definitive solution for inference on low-power ARM MCUs?: work-in-progress. CODES+ISSS (2018)
Manuele Rusci, Davide Rossi, Eric Flamand, Massimo Gottardi, Elisabetta Farella, Luca Benini
Always-ON visual node with a hardware-software event-based binarized neural network inference engine. CF (2018)
Manuele Rusci, Lukas Cavigelli, Luca Benini
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? ISCAS (2018)
Elisabetta Farella, Manuele Rusci, Bojan Milosevic, Amy L. Murphy
Technologies for a Thing-Centric Internet of Things. FiCloud (2017)
Manuele Rusci, Davide Rossi, Elisabetta Farella, Luca Benini
A Sub-mW IoT-Endnode for Always-On Visual Monitoring and Smart Triggering. IEEE Internet Things J. 4 (5) (2017)
Manuele Rusci, Davide Rossi, Elisabetta Farella, Luca Benini
A sub-mW IoT-endnode for always-on visual monitoring and smart triggering. CoRR (2017)
Manuele Rusci, Lukas Cavigelli, Luca Benini
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? CoRR (2017)
Manuele Rusci, Davide Rossi, Michela Lecca, Massimo Gottardi, Luca Benini, Elisabetta Farella
Energy-efficient design of an always-on smart visual trigger. ISC2 (2016)