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researcher

Luca Mocerino

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedCoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs

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

collaborators

4 papers

cs.LG2022

Dynamic ConvNets on Tiny Devices via Nested Sparsity

Matteo Grimaldi, Luca Mocerino, Antonio Cipolletta +1

This work introduces a new training and compression pipeline to build Nested Sparse ConvNets, a class of dynamic Convolutional Neural Networks (ConvNets) suited for inference tasks…

cs.CV2021

Adaptive Test-Time Augmentation for Low-Power CPU

Luca Mocerino, Roberto G. Rizzo, Valentino Peluso +2

Convolutional Neural Networks (ConvNets) are trained offline using the few available data and may therefore suffer from substantial accuracy loss when ported on the field, where un…

cs.LG2019

TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks

Luca Mocerino, Andrea Calimera

Binarization is an attractive strategy for implementing lightweight Deep Convolutional Neural Networks (CNNs). Despite the unquestionable savings offered, memory footprint above al…

cs.CV2019★ 7 cited

CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs

Luca Mocerino, Andrea Calimera

Fixed-point quantization and binarization are two reduction methods adopted to deploy Convolutional Neural Networks (CNN) on end-nodes powered by low-power micro-controller units (…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.