activity
20222026
most citedHuman Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks

52 citations · 285 across the 59 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.LG2023★ 24 cited

Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices

Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti +3

The rapid proliferation of computing domains relying on Internet of Things (IoT) devices has created a pressing need for efficient and accurate deep-learning (DL) models that can r…

cs.LG2023★ 3 cited

PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization

Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti +1

Accurate yet efficient Deep Neural Networks (DNNs) are in high demand, especially for applications that require their execution on constrained edge devices. Finding such DNNs in a…

cs.LG2023★ 30 cited

Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes

Francesco Daghero, Alessio Burrello, Enrico Macii +3

With the increasing popularity of Internet of Things (IoT) devices, there is a growing need for energy-efficient Machine Learning (ML) models that can run on constrained edge nodes…

eess.SP2023★ 5 cited

Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation

Alessio Burrello, Matteo Risso, Noemi Tomasello +5

Modern smartwatches often include photoplethysmographic (PPG) sensors to measure heartbeats or blood pressure through complex algorithms that fuse PPG data with other signals. In t…

cs.LG2023

Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference

Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda +5

The need to execute Deep Neural Networks (DNNs) at low latency and low power at the edge has spurred the development of new heterogeneous Systems-on-Chips (SoCs) encapsulating a di…

cs.CV2023★ 21 cited

Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays

Chen Xie, Francesco Daghero, Yukai Chen +6

Ultra-low-resolution Infrared (IR) array sensors offer a low-cost, energy-efficient, and privacy-preserving solution for people counting, with applications such as occupancy monito…

cs.RO2023★ 8 cited

Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs

Elia Cereda, Luca Crupi, Matteo Risso +5

Miniaturized autonomous unmanned aerial vehicles (UAVs) are an emerging and trending topic. With their form factor as big as the palm of one hand, they can reach spots otherwise in…