Tag Archives: Sandra Avila

DéjàVu on the news against child pornography and fake news

Posted on October 25, 2018 by

FAPESP DéjàVu project keeps attracting the worldwide attention uppon our solutions applied against child pornography and fake news, in particular during the 2018 presidential elections. They are (in Portuguese): Saiba como inteligência artificial é usada para criar fake news (Câmera … Continue reading →

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RECOD is Top 10 on international competition for melanoma classification

Posted on August 23, 2018 by

A team of RECOD researchers participated for the second time on the melanoma classification task at the melanoma diagnostic challenge promoted by the International Skin Imaging Collaboration. This year the number of participants grew 6 times regarding last edition, reaching 77 … Continue reading →

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A simple screening method for patients with zika virus

Posted on March 20, 2018 by

A recent research article in partnership of Recodists Prof. Anderson Rocha, Prof. Sandra Avila and Luiz Navarro and researchers at the Faculty of Pharmacy led by Prof. Rodrigo Catharino published at Frontiers in Bioengineering and Biotechnology journal is getting the … Continue reading →

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Leveraging deep neural networks to fight child pornography in the age of social media

Posted on February 2, 2018 by

Over the past two decades, the nature of child pornography in terms of generation, distribution and possession of images drastically changed, evolving from basically covert and offline exchanges of content to a massive network of contacts and data sharing. Nowadays, … Continue reading →

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RECOD celebrates its 8th year!

Posted on December 21, 2017 by

This year, our lab celebrated its eighth year of success together with an end of the year party. We have achieved significant growth in the international scientific community. Also, this year two professors joined RECOD: Adin Rivera and Sandra Avila. … Continue reading →

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Temporal robust features for violence detection

Posted on May 12, 2017 by

Automatically detecting violence in videos is paramount for enforcing the law and providing the society with better policies for safer public places. In addition, it may be essential for protecting minors from accessing inappropriate contents on-line, and for helping parents … Continue reading →

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Video pornography detection through deep learning techniques and motion information

Posted on March 28, 2017 by

In this paper, the authors deal with a growing issue of our connected society: automated sensitive media (pornographic, violent, gory, etc.) filtering. A range of applications has increased societal interest on the problem, e.g., detecting inappropriate behavior via surveillance cameras; … Continue reading →

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RECOD collected 1st and 2nd places awards at the XII WVC 2016

Posted on November 24, 2016 by

We are very happy to announce that RECOD’s team members Guilherme Folego, Marcus Angeloni, José Augusto Stuchi, Alan Godoy and Anderson Rocha have won in first place the best poster award, which is entitle “Cross-Domain Face Verification: Matching ID Document … Continue reading →

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FSI: Pornography classification: The hidden clues in video space–time

Posted on October 19, 2016 by

We are glad to announce that our journal paper “Pornography classification: The hidden clues in video space–time” has been accepted at Forensic Science International Journal, Volume 268 , 46-61, 2016. In the paper, the authors deal with an important issue … Continue reading →

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RECOD at WVC 2016

Posted on October 5, 2016 by

This year the WVC (XII Workshop de Visão Computacional) will take place at Campo Grande, Mato Grosso do Sul, Brazil and RECOD will be there with two accepted papers: Cross-Domain Face Verification: Matching ID Document and Self-Portrait Photographs. Guilherme Folego, … Continue reading →

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