CV Lattes
Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Graduated in Computer Science at Instituto de Ciências Matemáticas e de Computação - ICMC - USP (2012), Masters in Computer Science at ICMC - USP (2014). Is currently a PhD student at Instituto de Ciências Matemáticas e de Computação (ICMC) - USP. Research fields: Pattern Recognition and Digital Image Processing. (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) |
The method that is presently considered the state of the art on extraction of spatio-temporal features from videos is based on finding keypoints and dense trajectories to apply classical feature extraction algorithms, like SIFT and HOG. With the recent improvement on the processing capacity of CPUs and GPUs, combined with the increasing avaliability of video and image datasets, representa…
Despite all the advances in medicine, medical diagnosis remains a very difficult task. Several factors, such as the experience of the physician and the quality of the exam, affect its outcome. Because of this, science is continually seeking tools to assist in this task, trying to reduce the ratio of errors occurred. Technological advances have allowed the creation of CADx (computer-aided …
Representation learning has shown promising results when used to extract relevant features from different image and video datasets, even when the representation model was not trained for that specific dataset or task. Zero-shot Learning aims to allow classifiers to identify classes that are not represented in the training set by incorporating semantic representations into the model. By co…
| 2 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 3 / 3 | All Scholarships |
| Associated processes | |