activity
20182026
most citedImproving Fingerprint Pore Detection with a Small FCN

9 citations · 18 across the 8 of their papers we have counts for

collaborators

9 papers

math.CO2026

Szemerédi's theorem with random differences and arithmetic Kakeya

Gabriel Dahia

We prove that there exists an absolute constant such that the following holds for every and . Letting and , with…

math.CO2026

Counting sets with given doubling via dimension

Marcelo Campos, Gabriel Dahia, João Pedro Marciano

We determine, up to a factor of , the number of -sets such that , where and , for small…

math.CO2026

Dense sets without large sumsets

Gabriel Dahia, João Pedro Marciano, Victor Souza

We prove, for all fixed , and all sufficiently large , that there exists with such that for all ${A, B \subset \mat…

math.CO2025

An exponential upper bound for induced Ramsey numbers

Lucas Aragão, Marcelo Campos, Gabriel Dahia +2

The induced Ramsey number of a graph is the minimum number such that there exists a graph with vertices for which all -colourings of its edg…

math.CO2024

On the independence number of sparser random Cayley graphs

Marcelo Campos, Gabriel Dahia, João Pedro Marciano

The Cayley sum graph of a set is defined to have vertex set and an edge between two distinct vertices if $x…

math.CO2023★ 1 cited

The diameter of randomly twisted hypercubes

Lucas Aragão, Maurício Collares, Gabriel Dahia +1

The -dimensional random twisted hypercube is constructed recursively by taking two instances of , with any joint distribution, and adding a rand…

cs.CV2020★ 5 cited

Meta Learning for Few-Shot One-class Classification

Gabriel Dahia, Maurício Pamplona Segundo

We propose a method that can perform one-class classification given only a small number of examples from the target class and none from the others. We formulate the learning of mea…

cs.CV2018★ 9 cited

Improving Fingerprint Pore Detection with a Small FCN

Gabriel Dahia, Maurício Pamplona Segundo

In this work, we investigate if previously proposed CNNs for fingerprint pore detection overestimate the number of required model parameters for this task. We show that this is ind…

cs.CV2018★ 3 cited

Automatic Dataset Annotation to Learn CNN Pore Description for Fingerprint Recognition

Gabriel Dahia, Maurício Pamplona Segundo

High-resolution fingerprint recognition often relies on sophisticated matching algorithms based on hand-crafted keypoint descriptors, with pores being the most common keypoint choi…