Tag Archives: Tiago Carvalho

RECOD’s paper is the 2017 best paper at the Elsevier JVCI

We are happy to announce that the paper entitled “Going deeper into copy-move forgery detection: Exploring image telltales via multi-scale analysis and voting processes” published at the Elsevier Journal of Visual Communication and Image Representation (JVCI) has received the 2017 … Continue reading

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Detecting image forgeries containing people through face illuminant maps

The Ph.D. thesis of Tiago Carvalho is getting the press attention. A two pages article has been published at Unicamp Pesquisa (in Portuguese), year 02, number 02.2016. The article sums up the importance of the developed techniques to automatically detect … Continue reading

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Illuminant-based Transformed Spaces for Image Forensics

We live in a digital age where images are considered one of the most powerful communication media. In this context, the development of methods for verifying image authenticity is a real need of the modern society. In this research paper, … Continue reading

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RECOD student awarded at Brazilian Computer Society theses and dissertations competition

RECOD Ph.D. Tiago Carvalho — supervised by Prof. Anderson Rocha and Prof. Helio Pedrini — has just been awarded second prize at the prestigious Theses and Dissertations Competition of the Brazilian Computer Society (SBC). The dissertation was about the detection of … Continue reading

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Best Ph.D. thesis award for Tiago Carvalho of RECOD at SIBGRAPI’2014

Tiago Carvalho, who did his Ph.D. work at RECOD under the supervision of Prof. Anderson Rocha (and the co-supervision of Prof. Helio Pedrini of the Institute of Computing, UNICAMP) was awarded the best Ph.D. thesis award at the 27th SIBGRAPI … Continue reading

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UNICAMP News Showcases RECOD Research on Image Forgery

Campuswide UNICAMP News showcased RECOD Research in detecting image forgery. In particular, the piece spotlights the work of RECOD Ph.D. student Tiago Carvalho, who is supervised by Profs. Anderson Rocha and Helio Pedrini. Tiago’s work is able to detect fakery … Continue reading

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