Jordão Okuma Barbosa Ferraz Bragantini in research grants and scholarships supported by FAPESP.
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Recently, several areas of computing are being dominated by methods based on neural networks, which allow for incredible results, especially where data is non-structured, such as images, texts, and audios. However, most of these methodologies disregard previously developed techniques that were close to solving the problems given the needs of that period. Therefore, this project aims to de…
Python is an interpreted language that, thanks to the help of communities around the world, can be used for scientific applications, with most of these toolboxes being additional computational methods. This project aims to create a Python toolbox, called PyIFT, for image processing and analysis using the Image-Forest Transform, thus taking advantage of Python's dynamic typing to perform t…
Image segmentation is one of the most studied topics in the computer vision community today. In this context, weakly supervised methods are starting to gain attention because of the vast amount of labeled data necessary for algorithms with standard training procedure. Another approach to tackle this problem is to improve the existing methods for image annotation, such as interactive imag…
| 2 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 3 / 3 | All Scholarships |
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