| Grant number: | 19/11349-0 |
| Support Opportunities: | Scholarships in Brazil - Scientific Initiation |
| Start date: | June 01, 2019 |
| End date: | September 14, 2020 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
| Principal Investigator: | Alexandre Xavier Falcão |
| Grantee: | Jordão Okuma Barbosa Ferraz Bragantini |
| Host Institution: | Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
| Associated research grant: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?, AP.TEM |
| Associated scholarship(s): | 19/21734-9 - Interactive co-segmentation with projection learning, BE.EP.IC |
Abstract 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 develop techniques, in the context of images and videos, combining existing methodologies based on graphs and neural networks. | |
| News published in Agência FAPESP Newsletter about the scholarship: | |
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