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Universidade Estadual de Campinas (UNICAMP). Faculdade de Educação Física (FEF) (Institutional affiliation for the last research proposal) Birthplace: Brazil
Allan Pinto is a Researcher at the Brazilian Center for Research in Energy and Materials (CNPEM), and a member of the Brazilian Synchrotron Light Laboratory (LNLS). He received a B.Sc. degree in Computer Science from the University of São Paulo (USP), Brazil, in 2011, an M.Sc. in Computer Science from the University of Campinas (Unicamp), Brazil, in 2013, and a Ph.D. degree in Computer Science at the same university, in 2018. A part of his doctoral was accomplished at the University of Notre Dame, USA, in which he worked on different topics such as Presentation Attack Detection in Biometric Systems, Content-based Image Retrieval, and Multimedia Forensics. Currently, Dr. Allan is a member of the editorial board of the Forensic Science International: Reports, a member of the IEEE, and also a member of IEEE Information Forensics and Security Technical Committee (IFS-TC) of the IEEE Signal Processing Society. His research interests include Image and Video Analysis, Pattern Recognition, Machine Learning, Computer Vision, Multimedia Forensics, Biometrics, and Sports Science. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
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This research project aims to characterize and predict playing styles and key events of Brazilian and Dutch soccer by capturing successful elements of game play of both countries and by combining the expertise of data science, computer science and sport science. In this context, this research will propose techniques and methods for analyzing data related to the physical and tactical perfo…
The complexity in understanding the content of images, have driven researchers in the field of computer vision to find alternative lines, which strengthens the multidisciplinary profile of the area. One such area of research is bio-inspired computing, in which the methods are based on the way in which nature over millions of years found solutions to problems related to living things. The …
| 2 / 2 | Completed scholarships in Brazil |
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(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
| Publications | 8 |
| Citations | 0 |
| Cit./Article | 0.0 |
| Data from Web of Science | |
DIAS, DANIELLE; PINTO, ALLAN; DIAS, ULISSES; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; TORRES, RICARDO DA S.. A Multirepresentational Fusion of Time Series for Pixelwise Classification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 13, p. 4399-4409, 2020. Web of Science Citations: 0. (19/16253-1, 16/50250-1, 14/50715-9, 17/20945-0, 14/12236-1, 13/50155-0, 15/24494-8)
PINTO, ALLAN; GOLDENSTEIN, SIOME; FERREIRA, ALEXANDRE; CARVALHO, TIAGO; PEDRINI, HELIO; ROCHA, ANDERSON. Leveraging Shape, Reflectance and Albedo From Shading for Face Presentation Attack Detection. IEEE Transactions on Information Forensics and Security, v. 15, p. 3347-3358, 2020. Web of Science Citations: 0. (17/12646-3, 19/16253-1, 17/12631-6)
MERLIN, MURILO; PINTO, ALLAN; DE ALMEIDA, ALEXANDRE GOMES; MOURA, FELIPE A.; TORRES, RICARDO DA SILVA; CUNHA, SERGIO AUGUSTO. Classification and determinants of passing difficulty in soccer: a multivariate approach. SCIENCE AND MEDICINE IN FOOTBALL, OCT 2021. Web of Science Citations: 0. (18/19007-9, 19/16253-1, 16/50250-1, 17/20945-0)
CAMPANA, JOSE L. FLORES; PINTO, ALLAN; CORDOVA NEIRA, MANUEL ALBERTO; LORGUS DECKER, LUIS GUSTAVO; SANTOS, ANDREZA; CONCEICAO, JHONATAS S.; TORRES, RICARDO DA SILVA. On the Fusion of Text Detection Results: A Genetic Programming Approach. IEEE ACCESS, v. 8, p. 81257-81270, 2020. Web of Science Citations: 0. (19/16253-1, 16/50250-1, 14/50715-9, 17/20945-0, 14/12236-1, 13/50155-0, 15/24494-8)
CORDOVA, MANUEL; PINTO, ALLAN; PEDRINI, HELIO; TORRES, RICARDO DA SILVA. Pelee-Text plus plus : A Tiny Neural Network for Scene Text Detection. IEEE ACCESS, v. 8, p. 223172-223188, 2020. Web of Science Citations: 0. (17/20945-0, 19/17729-0, 16/50250-1, 19/22262-3, 19/16253-1, 14/12236-1, 15/24494-8)
SEGUNDO, MAURICIO PAMPLONA; PINTO, ALLAN; MINETTO, RODRIGO; TORRES, RICARDO DA SILVA; SARKAR, SUDEEP. Measuring Economic Activity From Space: A Case Study Using Flying Airplanes and COVID-19. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 14, p. 7213-7224, 2021. Web of Science Citations: 0. (19/22262-3, 16/50250-1, 14/12236-1, 15/24494-8, 19/16253-1, 19/17729-0)