Ph.D. student at PPG-CCMC (ICMC/USP), with a bachelor's degree in Applied Mathematics and Scientific Computing from the same institution. Has experience in Machine Learning and Deep Learning focused on computer vision, especially in tasks such as object detection, segmentation, and image classification. Interned at the Eldorado Research Institute, applying autoencoders to seismic images in a project in partnership with Petrobras. Conducted research on domain adaptation applied to object detection (FAPESP Scientific Initiation) and recently completed the annotation of a dataset for autonomous driving systems, in collaboration with UFRJ and Stellantis. (Source: Lattes Curriculum)
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The project consists in studying domain adaptation techniques towards image object detection. This would allow, for instance, the use of synthetic images for training neural networks. Utilizing this data alongside with real images, time and money would be spared and the scope of researchers and enterprises able to deploy this kind of model would expand significantly since this models will…
| 1 / 1 | Completed scholarships in Brazil |
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