Has a degree in Computer Science. Has interests in Deep Learning and Machine Learning in general. Has experience with Deep Learning applied to Computer Vision, competitive programming, and some experience in Analysis of Algorithms. Currently a Computer Science Masters student at the Institute of Mathematics and Statistics, with a focus on Deep Learning techniques for Object Detection. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| More itemsLess items |
| TITULO |
| Articles published in other media outlets ( ): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
QR Codes are two-dimensional codes which are capable of encoding not only digits, as it is the case with traditional barcodes, but also alphanumeric characters. Among their most common uses, it is worth mention the URL encoding and fast access to the referred web content through the use of decoding applications. When these codes are explicitly framed and captured, the decoding process hap…
Recent deep learning architectures have achieved impressive results on the task of Object Detection. However, such techniques are known to require huge amounts of labeled data in order to properly generalize, which is harder to acquire than traditional image classification data. To improve this situation, the use of image augmentation techniques became standard practice on the literature.…
| 2 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 3 / 3 | All Scholarships |
| Associated processes | |
CV Lattes
ORCID