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David Menotti

4 papers here

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author position
  • last author4

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

fields
  • cs.CV4

identity via Semantic Scholar / OpenAlex

most citedConvolutional Neural Networks for Automatic Meter Reading

91 citations · 113 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2020

CNN Hyperparameter tuning applied to Iris Liveness Detection

Gabriela Y. Kimura, Diego R. Lucio, Alceu S. Britto +1

The iris pattern has significantly improved the biometric recognition field due to its high level of stability and uniqueness. Such physical feature has played an important role in…

cs.CV2020

Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization

Luiz A. Zanlorensi, Hugo Proença, David Menotti

Ocular biometric systems working in unconstrained environments usually face the problem of small within-class compactness caused by the multiple factors that jointly degrade the qu…

cs.CV2019★ 22 cited

Deep Representations for Cross-spectral Ocular Biometrics

Luiz A. Zanlorensi, Diego R. Lucio, Alceu S. Britto +2

One of the major challenges in ocular biometrics is the cross-spectral scenario, i.e., how to match images acquired in different wavelengths (typically visible (VIS) against near-i…

cs.CV2019★ 91 cited

Convolutional Neural Networks for Automatic Meter Reading

Rayson Laroca, Victor Barroso, Matheus A. Diniz +3

In this paper, we tackle Automatic Meter Reading (AMR) by leveraging the high capability of Convolutional Neural Networks (CNNs). We design a two-stage approach that employs the Fa…

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