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Lukas Cavigelli

Huawei

36 papers hereh-index 263.5k citations86 works total

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

author position
  • first author4
  • middle author21
  • last author10

Across the 35 of 36 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.AR6
  • cs.CV6
  • eess.SP4
  • cs.DC3
  • cs.SD3
affiliations
  • Huawei
same name
  • Lukas Cavigelli — 9 papers, h 1
  • Lukas Cavigelli — 2 papers, h 2
  • Lukas Cavigelli — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172025
most citedSound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices

39 citations · 84 across the 23 of their papers we have counts for

collaborators
Showing cs.SDShow all

3 papers · 1 filter

cs.SD2024

On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems

Cristian Cioflan, Lukas Cavigelli, Manuele Rusci +2

Keyword spotting accuracy degrades when neural networks are exposed to noisy environments. On-site adaptation to previously unseen noise is crucial to recovering accuracy loss, and…

cs.SD2024★ 1 cited

Boosting keyword spotting through on-device learnable user speech characteristics

Cristian Cioflan, Lukas Cavigelli, Luca Benini

Keyword spotting systems for always-on TinyML-constrained applications require on-site tuning to boost the accuracy of offline trained classifiers when deployed in unseen inference…

cs.SD2022

Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks

Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri +3

Keyword spotting (KWS) is a crucial function enabling the interaction with the many ubiquitous smart devices in our surroundings, either activating them through wake-word or direct…

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