RUSCI, MANUELE
RUSCI, MANUELE
ARAG - AREA FINANZA E CONTABILITA'
Collaboratori
Accelerating Image-based Pest Detection on a Heterogeneous Multicore Microcontroller
2024 Bompani, Luca; Crupi, Luca; Palossi, Daniele; Baldoni, Olmo; Brunelli, Davide; Conti, Francesco; Rusci, Manuele; Benini, Luca
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems
2024 Bompani, L.; Rusci, M.; Palossi, D.; Conti, F.; Benini, L.
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems
2024 Cioflan, C.; Cavigelli, L.; Rusci, M.; De Prado, M.; Benini, L.
Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units
2024 Paissan, F.; Nadalini, D.; Rusci, M.; Ancilotto, A.; Conti, F.; Benini, L.; Farella, E.
Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization
2023 Pourjabar, Mahyar; AlKatheeri, Ahmed; Rusci, Manuele; Barcis, Agata; Niculescu, Vlad; Ferrante, Eliseo; Palossi, Daniele; Benini, Luca
PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning
2022 Nadalini D.; Rusci M.; Tagliavini G.; Ravaglia L.; Benini L.; Conti F.
Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting
2022 Cioflan, C; Cavigelli, L; Rusci, M; de Prado, M; Benini, L
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays
2021 Ravaglia L.; Rusci M.; Nadalini D.; Capotondi A.; Conti F.; Benini L.
Robustifying the deployment of tinyML models for autonomous mini-vehicles
2021 de Prado M.; Rusci M.; Donze R.; Capotondi A.; Monnerat S.; Benini L.; Pazos N.
An Energy Optimized JPEG Encoder for Parallel Ultra-Low-Power Processing-Platforms
2020 Polonelli T.; Battistini D.; Rusci M.; Brunelli D.; Benini L.
BrightNet: A Deep CNN for OLED-Based Point of Care Immunofluorescent Diagnostic Systems
2020 Samore A.; Rusci M.; Lazzaro D.; Melpignano P.; Benini L.; Morigi S.
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
2020 Capotondi A.; Rusci M.; Fariselli M.; Benini L.
Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers
2020 Rusci M.; Fariselli M.; Capotondi A.; Benini L.
Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node
2020 Ravaglia L.; Rusci M.; Capotondi A.; Conti F.; Pellegrini L.; Lomonaco V.; Maltoni D.; Benini L.
PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors
2020 Garofalo A.; Rusci M.; Conti F.; Rossi D.; Benini L.
PULP-NN: A computing library for quantized neural network inference at the edge on RISC-V based parallel ultra low power clusters
2019 Garofalo A.; Rusci M.; Conti F.; Rossi D.; Benini L.
Always-ON visual node with a hardware-software event-based binarized neural network inference engine
2018 Rusci, Manuele; Rossi, Davide; Flamand, Eric; Gottardi, Massimo; Farella, Elisabetta; Benini, Luca
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?
2018 Rusci, Manuele; Cavigelli, Lukas; Benini, Luca
Work-in-Progress: Quantized NNs as the Definitive solution for inference on low-power ARM MCUs?
2018 Rusci, Manuele; Capotondi, Alessandro; Conti, Francesco; Benini, Luca
A Sub-mW IoT-Endnode for Always-On Visual Monitoring and Smart Triggering
2017 Rusci, Manuele; Rossi, Davide; Farella, Elisabetta; Benini, Luca
Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
---|---|---|---|---|---|---|
Accelerating Image-based Pest Detection on a Heterogeneous Multicore Microcontroller | Bompani, Luca; Crupi, Luca; Palossi, Daniele; Baldoni, Olmo; Brunelli, Davide; Conti, Francesco; ... espandi | 2024-01-01 | IEEE TRANSACTIONS ON AGRIFOOD ELECTRONICS. | - | 1.01 Articolo in rivista | - |
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems | Bompani, L.; Rusci, M.; Palossi, D.; Conti, F.; Benini, L. | 2024-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | - |
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems | Cioflan, C.; Cavigelli, L.; Rusci, M.; De Prado, M.; Benini, L. | 2024-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units | Paissan, F.; Nadalini, D.; Rusci, M.; Ancilotto, A.; Conti, F.; Benini, L.; Farella, E. | 2024-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | - |
Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization | Pourjabar, Mahyar; AlKatheeri, Ahmed; Rusci, Manuele; Barcis, Agata; Niculescu, Vlad; Ferrante, E... espandi | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | land and localize post print.pdf |
PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning | Nadalini D.; Rusci M.; Tagliavini G.; Ravaglia L.; Benini L.; Conti F. | 2022-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | PULP-TrainLib - Springer Version.pdf |
Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting | Cioflan, C; Cavigelli, L; Rusci, M; de Prado, M; Benini, L | 2022-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays | Ravaglia L.; Rusci M.; Nadalini D.; Capotondi A.; Conti F.; Benini L. | 2021-01-01 | IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS | - | 1.01 Articolo in rivista | TinyML_redux.pdf |
Robustifying the deployment of tinyML models for autonomous mini-vehicles | de Prado M.; Rusci M.; Donze R.; Capotondi A.; Monnerat S.; Benini L.; Pazos N. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
An Energy Optimized JPEG Encoder for Parallel Ultra-Low-Power Processing-Platforms | Polonelli T.; Battistini D.; Rusci M.; Brunelli D.; Benini L. | 2020-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | - |
BrightNet: A Deep CNN for OLED-Based Point of Care Immunofluorescent Diagnostic Systems | Samore A.; Rusci M.; Lazzaro D.; Melpignano P.; Benini L.; Morigi S. | 2020-01-01 | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | - | 1.01 Articolo in rivista | final.pdf |
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices | Capotondi A.; Rusci M.; Fariselli M.; Benini L. | 2020-01-01 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS | - | 1.01 Articolo in rivista | cmix_nn_tcas_II_disclaimer.pdf |
Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers | Rusci M.; Fariselli M.; Capotondi A.; Benini L. | 2020-01-01 | - | Springer Science and Business Media Deutschland GmbH | 4.01 Contributo in Atti di convegno | - |
Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node | Ravaglia L.; Rusci M.; Capotondi A.; Conti F.; Pellegrini L.; Lomonaco V.; Maltoni D.; Benini L. | 2020-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | Memory-Latency-Accuracy.pdf |
PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors | Garofalo A.; Rusci M.; Conti F.; Rossi D.; Benini L. | 2020-01-01 | PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A: MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | - | 1.01 Articolo in rivista | Binder1.pdf |
PULP-NN: A computing library for quantized neural network inference at the edge on RISC-V based parallel ultra low power clusters | Garofalo A.; Rusci M.; Conti F.; Rossi D.; Benini L. | 2019-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | Postprint_PULP-NN_A Computing Library.pdf |
Always-ON visual node with a hardware-software event-based binarized neural network inference engine | Rusci, Manuele; Rossi, Davide; Flamand, Eric; Gottardi, Massimo; Farella, Elisabetta; Benini, Luca | 2018-01-01 | - | Association for Computing Machinery, Inc | 4.01 Contributo in Atti di convegno | Always-ON Visual node.pdf |
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? | Rusci, Manuele; Cavigelli, Lukas; Benini, Luca | 2018-01-01 | - | - | 4.01 Contributo in Atti di convegno | ISCAS2018_IRIS.pdf |
Work-in-Progress: Quantized NNs as the Definitive solution for inference on low-power ARM MCUs? | Rusci, Manuele; Capotondi, Alessandro; Conti, Francesco; Benini, Luca | 2018-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | Binder2.pdf |
A Sub-mW IoT-Endnode for Always-On Visual Monitoring and Smart Triggering | Rusci, Manuele; Rossi, Davide; Farella, Elisabetta; Benini, Luca | 2017-01-01 | IEEE INTERNET OF THINGS JOURNAL | - | 1.01 Articolo in rivista | - |