Ultra-compact binary neural networks for human activity recognition on RISC-V processors F Daghero, C Xie, DJ Pagliari, A Burrello, M Castellano, L Gandolfi, ... Proceedings of the 18th ACM International Conference on Computing Frontiers …, 2021 | 19 | 2021 |
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks F Daghero, A Burrello, C Xie, M Castellano, L Gandolfi, A Calimera, ... ACM Transactions on Embedded Computing Systems (TECS) 21 (4), 1-28, 2022 | 15 | 2022 |
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers F Daghero, A Burrello, C Xie, L Benini, A Calimera, E Macii, M Poncino, ... 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration …, 2021 | 7 | 2021 |
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays C Xie, F Daghero, Y Chen, M Castellano, L Gandolfi, A Calimera, E Macii, ... IEEE Internet of Things Journal, 2023 | 4 | 2023 |
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs C Xie, F Daghero, Y Chen, M Castellano, L Gandolfi, A Calimera, E Macii, ... arXiv preprint arXiv:2204.10541, 2022 | 4 | 2022 |
Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference C Xie, DJ Pagliari, A Calimera arXiv preprint arXiv:2204.10539, 2022 | 4 | 2022 |
ACME: An Energy-Efficient Approximate Bus Encoding for I2C C Xie, DJ Pagliari, A Calimera, E Macii, M Poncino 2021 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2021 | 3 | 2021 |
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference C Xie, A Burrello, F Daghero, L Benini, A Calimera, E Macii, M Poncino, ... Sensors 23 (4), 2065, 2023 | 2 | 2023 |
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers F Daghero, A Burrello, C Xie, L Benini, A Calimera, E Macii, M Poncino, ... VLSI-SoC: Technology Advancement on SoC Design: 29th IFIP WG 10.5/IEEE …, 2022 | 1 | 2022 |
Hardware Accelerator for LSTM Neural Networks using High-Level Synthesis M PONCINO, C XIE | | |