CMix-NN: Mixed low-precision CNN library for memory-constrained edge devices A Capotondi, M Rusci, M Fariselli, L Benini IEEE Transactions on Circuits and Systems II: Express Briefs 67 (5), 871-875, 2020 | 152 | 2020 |
Leveraging automated mixed-low-precision quantization for tiny edge microcontrollers M Rusci, M Fariselli, A Capotondi, L Benini IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020 | 29 | 2020 |
Low-power license plate detection and recognition on a risc-v multi-core mcu-based vision system L Lamberti, M Rusci, M Fariselli, F Paci, L Benini 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 20 | 2021 |
Integer-only approximated MFCC for ultra-low power audio NN processing on multi-core MCUs M Fariselli, M Rusci, J Cambonie, E Flamand 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 15 | 2021 |
Accelerating rnn-based speech enhancement on a multi-core mcu with mixed fp16-int8 post-training quantization M Rusci, M Fariselli, M Croome, F Paci, E Flamand Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 7 | 2022 |
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors M Rusci, F Paci, M Fariselli, E Flamand, T Tuytelaars arXiv preprint arXiv:2408.12481, 2024 | | 2024 |
Replication Data for: Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors M Rusci, M Fariselli, F Paci, E Flamand, T TUYTELAARS, T Tuytelaars KU Leuven RDR, 0 | | |