Výsledky vyhledávání - "Fernanda A. Andaló"

Akademický článek

A Inteligência Artificial e os desafios da Ciência Forense Digital no século XXI

Autor: Rafael Padilha, Antônio Theóphilo, Fernanda A. Andaló, Didier A. Vega-Oliveros, João P. Cardenuto, Gabriel Bertocco, José Nascimento, Jing Yang, Anderson Rocha

Publikováno v: Estudos Avançados, Vol 35, Iss 101, Pp 113-138 (2021)

RESUMO A Ciência Forense Digital surgiu da necessidade de tratar problemas forenses na era digital. Seu mais recente desafio está relacionado ao surgimento das mídias sociais, intensificado pelos avanços da Inteligência Artificial. A produção

Externí odkaz: https://doaj.org/article/845ded025fa746b18e50426dc755b4ed

Zobrazit plný text záznamu

Temporally sorting images from real-world events

Autor: Rafael Padilha, Luis A. M. Pereira, Anderson Rocha, Fernanda A. Andaló, Bahram Lavi

Publikováno v: Pattern Recognition Letters. 147:212-219

As smartphones become ubiquitous in modern life, every major event — from musical concerts to terrorist attempts — is massively captured by multiple devices and instantly uploaded to the Internet. Once shared through social media, the chronologic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::560a9fc5c91540ac57b68afeca9b23fd
https://doi.org/10.1016/j.patrec.2021.04.027

Zobrazit plný text záznamu

Forensic Event Analysis: From Seemingly Unrelated Data to Understanding

Autor: Zanoni Dias, Gabriel Bertocco, Rafael Padilha, Anderson Rocha, Caroline Mazini Rodrigues, Fernanda A. Andaló

Publikováno v: IEEE Security & Privacy. 18:23-32

We discuss the problem of restructuring visual data from different heterogeneous sources to analyze an event of interest. We present X-coherence: a pipeline seeking to organize and represent pieces of data, tying them coherently with the real world a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f6e32c8b18e640607a39b83c9ab8efa3
https://doi.org/10.1109/msec.2020.3000446

Zobrazit plný text záznamu

Two‐tiered face verification with low‐memory footprint for mobile devices

Autor: William Dias, Anderson Rocha, Ricardo da Silva Torres, Waldir Rodrigues De Almeida, Rafael Padilha, Thiago Resek, Gabriel Bertocco, Jacques Wainer, Fernanda A. Andaló

Publikováno v: IET Biometrics. 9:205-215

Mobile devices have their popularity and affordability greatly increased in recent years. As a consequence of their ubiquity, these devices now carry all sorts of personal data that should be accessed only by their owner. Even though knowledge-based

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5cf5f4b442b8d7e23149e59d04faf3f9
https://doi.org/10.1049/iet-bmt.2020.0031

Zobrazit plný text záznamu

A Inteligência Artificial e os desafios da Ciência Forense Digital no século XXI

Autor: Antonio Theophilo, Fernanda A. Andaló, José E. do Nascimento, Didier A. Vega-Oliveros, Jing Yang, João P. Cardenuto, Rafael Padilha, Gabriel Bertocco, Anderson Rocha

Publikováno v: Estudos Avançados, Volume: 35, Issue: 101, Pages: 113-138, Published: 19 APR 2021
Estudos Avançados v.35 n.101 2021
Estudos Avançados
Universidade de São Paulo (USP)
instacron:UFRJ
Estudos Avançados, Vol 35, Iss 101, Pp 113-138 (2021)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd139d9c7af1d2925630f27db1da1b29
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-40142021000100113&lng=en&tlng=en

Zobrazit plný text záznamu

Unsupervised and self-adaptative techniques for cross-domain person re-identification

Autor: Fernanda A. Andaló, Anderson Rocha, Gabriel Bertocco

Person Re-Identification (ReID) across non-overlapping cameras is a challenging task and, for this reason, most works in the prior art rely on supervised feature learning from a labeled dataset to match the same person in different views. However, it

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a273580813cddd79f0790e8577664633

Zobrazit plný text záznamu

Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function

Autor: Waldir Rodrigues De Almeida, Rafael Padilha, Fernanda A. Andaló, William Dias, Gabriel Bertocco, Jacques Wainer, Anderson Rocha, Ricardo da Silva Torres

Publikováno v: PLoS ONE
PLoS ONE, Vol 15, Iss 9, p e0238058 (2020)
PLOS ONE

With the widespread use of biometric authentication comes the exploitation of presentation attacks, possibly undermining the effectiveness of these technologies in real-world setups. One example takes place when an impostor, aiming at unlocking someo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::910649a76bd16a8287aa99bd649439af
http://europepmc.org/articles/PMC7473524

Zobrazit plný text záznamu

Plný text ve formátu HTML

Improving the Chronological Sorting of Images through Occlusion: A Study on the Notre-Dame Cathedral Fire

Autor: Fernanda A. Andaló, Rafael Padilha, Anderson Rocha

Publikováno v: ICASSP

We live in a connected society in which no major event — from music concerts to terrorist attempts — happens without being recorded by a smartphone and shared instantly to the world. This flow of generated data is often unstructured and carries n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3ee70fe31b4115f461265013f7a512b3
https://doi.org/10.1109/icassp40776.2020.9054120

Zobrazit plný text záznamu

The Rise of Data-Driven Models in Presentation Attack Detection

Autor: Anderson Rocha, Marcos Vinicius Mussel Cirne, Allan Pinto, Bahram Lavi, Aurea Soriano-Vargas, Luis A. M. Pereira, Alexandre Ferreira, Fernanda A. Andaló

Publikováno v: Deep Biometrics ISBN: 9783030325824

Biometric systems are prevalent in access control but are vulnerable to frauds. A typical attempt of violating them is through presentation attacks, in which synthetic data is directly presented to an acquisition sensor to deceive these systems. A we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0399e11dd78fad72a23208f65ea72621
https://doi.org/10.1007/978-3-030-32583-1_13

Zobrazit plný text záznamu

Deep Face Verification for Spherical Images

Autor: Thiago Resek, Rafael Dias, Fernanda A. Andaló, Marcos Vinicius Mussel Cirne, Anderson Rocha, Ricardo da Silva Torres, Gabriel Bertocco

Publikováno v: ICIP

Over the years, several problems regarding the analysis of face images have been addressed, including face detection, recognition, identification, and verification. The advent of Convolutional Neural Networks (CNNs) gave rise to a drastic improvement

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4ea0f8f19c687da9aefd910e629c5c9d
https://doi.org/10.1109/icip.2019.8803538

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání