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20232026
most citedA Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures

2 citations · 3 across the 7 of their papers we have counts for

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cs.SD2026

Transformer-based Neural Beamforming for Real-Time Speech Enhancement on Smart Low-Power Hearable Devices

Luca Bompani, Marco Fariselli, Giovanni Oltrecolli +1

Accurate, efficient, and low-latency spatial beamforming is a key component in emerging smart hearable devices, enhancing speech while suppressing noise and interference. However,…

cs.CV2026

MR2-ByteTrack: CNN and Transformer-based Video Object Detection for AI-augmented Embedded Vision Sensor Nodes

Luca Bompani, Manuele Rusci, Luca Benini +2

Modern smart vision sensors need on-device intelligence to process video streams, as cloud computing is often impractical due to bandwidth, latency, and privacy constraints. Howeve…