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04/12/2023
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays
Ultra-low-resolution Infrared (IR) array sensors offer a low-cost, energ...
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09/02/2022
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks
Human Activity Recognition (HAR) based on inertial data is an increasing...
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05/27/2022
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers
Random Forests (RFs) are widely used Machine Learning models in low-powe...
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05/25/2022
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors
Human Activity Recognition (HAR) is a relevant inference task in many mo...
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04/22/2022
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs
Low-resolution infrared (IR) array sensors offer a low-cost, low-power, ...
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04/22/2022
Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference
Low-resolution infrared (IR) Sensors combined with machine learning (ML)...
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03/07/2022
Dynamic ConvNets on Tiny Devices via Nested Sparsity
This work introduces a new training and compression pipeline to build Ne...
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05/13/2021
Adaptive Test-Time Augmentation for Low-Power CPU
Convolutional Neural Networks (ConvNets) are trained offline using the f...
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12/20/2019
TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks
Binarization is an attractive strategy for implementing lightweight Deep...
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12/20/2019
EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets
The implementation of Deep Convolutional Neural Networks (ConvNets) on t...
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11/19/2019
