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2020 – today
- 2024
[c24]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: 6-10- [c23]Francesco Paissan, Davide Nadalini, Manuele Rusci, Alberto Ancilotto, Francesco Conti, Luca Benini, Elisabetta Farella:
Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units. CVPR Workshops 2024: 2172-2181 - [c22]Luca Bompani, Manuele Rusci, Daniele Palossi, Francesco Conti, Luca Benini:
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems. CVPR Workshops 2024: 2182-2190 - [c21]Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi
:
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors. ICRA 2024: 10118-10124 - [i18]Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi:
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors. CoRR abs/2403.04071 (2024) - [i17]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 abs/2403.10549 (2024) - [i16]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 abs/2404.11488 (2024) - [i15]Manuele Rusci, Francesco Paci, Marco Fariselli, Eric Flamand, Tinne Tuytelaars:
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors. CoRR abs/2408.12481 (2024) - 2023
- [j7]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: 212-226 (2023) - [j6]Manuele Rusci, Tinne Tuytelaars:
On-Device Customization of Tiny Deep Learning Models for Keyword Spotting With Few Examples. IEEE Micro 43(6): 50-57 (2023) - [c20]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: 1-6 - [c19]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: 654-660 - [c18]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: 1-5 - [c17]Manuele Rusci, Tinne Tuytelaars:
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems. INTERSPEECH 2023: 2768-2772 - [i14]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 abs/2301.12175 (2023) - [i13]Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti:
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers. CoRR abs/2305.19167 (2023) - [i12]Manuele Rusci, Tinne Tuytelaars:
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems. CoRR abs/2306.02161 (2023) - [i11]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 abs/2307.10255 (2023) - [i10]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 abs/2312.13086 (2023) - 2022
- [c16]Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini:
Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting. AICAS 2022: 82-85 - [c15]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: 606-617 - [c14]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: 200-216 - [i9]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 abs/2210.07692 (2022) - 2021
- [j5]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): 789-802 (2021) - [j4]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): 1339 (2021) - [c13]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: 1-4 - [c12]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: 1-5 - [c11]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: 1-5 - [i8]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 abs/2110.10486 (2021) - 2020
- [j3]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 67-II(5): 871-875 (2020) - [j2]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): 6766-6775 (2020) - [c10]Manuele Rusci, Alessandro Capotondi, Luca Benini:
Memory-Driven Mixed Low Precision Quantization for Enabling Deep Network Inference on Microcontrollers. MLSys 2020 - [c9]Manuele Rusci, Marco Fariselli, Alessandro Capotondi, Luca Benini:
Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers. IoT Streams/ITEM@PKDD/ECML 2020: 296-308 - [c8]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: 1-6 - [i7]Miguel de Prado, Romain Donze, Alessandro Capotondi, Manuele Rusci, Serge Monnerat, Luca Benini, Nuria Pazos:
Robust navigation with tinyML for autonomous mini-vehicles. CoRR abs/2007.00302 (2020) - [i6]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 abs/2007.13631 (2020) - [i5]Manuele Rusci, Marco Fariselli, Alessandro Capotondi, Luca Benini:
Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers. CoRR abs/2008.05124 (2020)
2010 – 2019
- 2019
- [c7]Tommaso Polonelli, Daniele Battistini, Manuele Rusci, Davide Brunelli, Luca Benini:
An Energy Optimized JPEG Encoder for Parallel Ultra-Low-Power Processing-Platforms. ApplePies 2019: 125-133 - [c6]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: 33-36 - [i4]Manuele Rusci, Alessandro Capotondi, Luca Benini:
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers. CoRR abs/1905.13082 (2019) - [i3]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 abs/1908.11263 (2019) - 2018
- [c5]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: 314-319 - [c4]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: 12 - [c3]Manuele Rusci, Lukas Cavigelli, Luca Benini:
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? ISCAS 2018: 1-5 - 2017
- [j1]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): 1284-1295 (2017) - [c2]Elisabetta Farella, Manuele Rusci, Bojan Milosevic, Amy L. Murphy:
Technologies for a Thing-Centric Internet of Things. FiCloud 2017: 77-84 - [i2]Manuele Rusci, Davide Rossi, Elisabetta Farella, Luca Benini:
A sub-mW IoT-endnode for always-on visual monitoring and smart triggering. CoRR abs/1705.00221 (2017) - [i1]Manuele Rusci, Lukas Cavigelli, Luca Benini:
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? CoRR abs/1712.01743 (2017) - 2016
- [c1]Manuele Rusci, Davide Rossi, Michela Lecca, Massimo Gottardi, Luca Benini, Elisabetta Farella:
Energy-efficient design of an always-on smart visual trigger. ISC2 2016: 1-6
Coauthor Index
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last updated on 2025-01-09 13:04 CET by the dblp team
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