I'm a Computer Science PhD student at São Paulo State University (UNESP) since 2020. Recently, I was a doctorate exchange student at Temple University (Philadelphia, PA, USA) as a Fulbright Scholar (Doctoral Dissertation Research Abroad Award, 2022-2023).I received my Bachelor's Degree in Computer Science from the São Paulo State University (UNESP) in 2016. I obtained my Master's Degree in Computer Science from the same university in 2019 with the thesis Unsupervised Selective Rank Fusion for Content-based Image Retrieval..Among the awards, I received the Best Master's Thesis Award from the Workshop of Theses and Dissertations (WTD) in the SIBGRAPI' 19. My thesis was also recognized as the Second Best Dissertation in the 33rd Contest of Thesis and Dissertations (CTD), Congress of the Brazilian Computer Society (CSBC 2020).I have experience in different areas of Computer Science, with special interest in information retrieval, image retrieval by content, machine learning, computer vision, deep learning, image processing, pattern recognition, and parallel computing. In my PhD research; I'm currently studying, investigating, and proposing strategies for person re-identification (Re-ID) in different scenarios. (Source: Lattes Curriculum)
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The evolution of the mobile devices and the consequent facilities in the processes of acquisition and sharing of visual content have caused a great growth in the collections of images. In this scenario, it becomes imperative to develop automatic methods that allow indexing, analyzing and searching in such content. Content-Based Image Retrieval (CBIR) are a promising solution. However, ass…
Content-Based Image Retrieval (CBIR) systems aims at retrieving the most similar images in a collection by taking into account image visual properties. Users are interested in the images placed at the first positions of the returned ranked lists, which usually are the most relevant ones. Therefore, accurately ranking collection images is of great relevance. However, in general, CBIR appro…
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