Category Archives: DéjàVu

DéjàVu on the news against child pornography and fake news

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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DéjàVu Talks on August 2018

Graph models for machine learning: K-associated graphs and Attribute-based Decision Graphs Prof. João Bertini (FT/Limeira) [slides] [video] Abstract: Graph-based methods consist of a powerful form of data representation and abstraction. Among other features, they allow uncovering topological relationships, visualizing structures, … Continue reading

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Image Provenance Analysis at Scale

In this article, the authors present a fully automated large-scale end-to-end pipeline that starts with the step of provenance image filtering (over millions of images) and ends up with the provenance graphs. The most immediate application of provenance image filtering … Continue reading

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

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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DéjàVu Post-doctoral Fellowship

The Thematic Research Project, entitled DéjàVu: Feature-Space-Time Coherence from Heterogeneous Data form Media Integrity and Interpretation of Events funded by FAPESP is seeking candidates for a 2-year (renewable) post-doctoral fellowship position to work at the Reasoning for Complex Data (RECOD) … Continue reading

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Talks: LIRMM and WIFS 2017, France

Prof. Anderson Rocha is visiting the Montpellier Laboratory of Informatics, Robotics and Microelectronics (LIRMM), Montpellier, France, hosted by Prof. William Puech. Two talks were/will be given: Talk #1: Dec. 12th, 2017 Interpretation of Events from Heterogenous Data: How to Connect … Continue reading

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Talk: Alex Kot from NTU, Singapore

The first DéjàVu invited talked happened this week, on Nov. 27th, at IC/Unicamp. In his talk, Prof. Alex Kot, director of ROSE Lab at Nanyang Technological University (NTU), Singapore, presented the most relevant ongoing research project at the Rapid-Rich Object … Continue reading

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1st Advanced Computing Workshop

The 1st Advanced Computing Workshop, which is in partnership with the Army Research Office/US, took place in São Paulo on November 13th, 2017. In the video below, Prof. Anderson Rocha explains how three RECOD’s projetcs, DeepEyes, MediFor and DéjàVu, are … Continue reading

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DéjàVu on the news

Fapesp DéjàVu project, which will start soon, is attracting attention of Brazilian press for its high objectives and potential of impact in the society at large. They are (in Portuguese): Inteligência artificial a serviço da justiça (Jornal da Unicamp, Oct. … Continue reading

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FAPESP Thematic Projects at RECOD

RECOD Lab. has been awarded two Fapesp Thematic Projects recently. This is an AMAZING achievement for our lab. and for IC/Unicamp, especially during this tough financial moment in our country. The two projects, entitled “DéjàVu: Feature-space-time coherence from heterogeneous data for … Continue reading

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