We’ve had a paper accepted to CVPR 2026: “TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment”!
Check out the recent activity on OpenReview.
For more details about the paper, please visit the Publications Section.
I am a Software Engineer at Google and I completed my Ph.D. in Computer Science at the Computer Science Department of the Universidade Federal de Minas Gerais (UFMG), Brazil, in 2023. During my Ph.D., I was a Visiting Researcher in the School of Computing and Communications at Lancaster University (LU), United Kingdom, and I was supervised by Erickson R. Nascimento and Leandro S. Marcolino. I received my MSc degree from UFMG in 2017 and my BSc degree from PUC-Minas in 2013.
In my research, I addressed the problem of semantic extraction in temporally untrimmed videos, especially those of long duration, such as egocentric videos. I explored multimodal representation learning and the semantic connections between language and vision to personalize video summaries and fast-forwarding. I am also interested in the intersection of Computer Vision and Reinforcement Learning.
You can download my CV here: Download CV
PhD in Computer Science, 2023
Universidade Federal de Minas Gerais (UFMG)
MSc in Computer Science, 2017
Universidade Federal de Minas Gerais (UFMG)
BSc in Computer Science, 2013
Pontifícia Universidade Católica de Minas Gerais (PUC-Minas)
We’ve had a paper accepted to CVPR 2026: “TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment”!
Check out the recent activity on OpenReview.
For more details about the paper, please visit the Publications Section.
We’ve got our paper accepted to the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)!
Our paper is titled “Leveraging synthetic data to learn video stabilization under adverse conditions”. For more details about the paper, please visit the Publications Section.
Our paper titled “Musical Hyperlapse: A Multimodal Approach to Accelerate First-Person Videos” has been awarded the best Pattern Recognition and Related Fields paper in the SIBGRAPI 2021 - 34th Conference on Graphics, Patterns and Images.
Details about the paper can be found in the Publications Section and in the project website.
I’ve been selected as one of the 2021-2022 Microsoft Research PhD Fellows!!
This program is for PhD students at universities globally pursuing research aligned to the Microsoft Research areas of focus. Students were selected by region, and I am among those selected in Latin America.
Details about the process I followed in order to be awarded can be found in this link.
Submitted Project: “Text-driven Hyperlapse: A Weakly-Supervised Video Acceleration Approach Using Vision-Language Modeling”
My M.Sc. Dissertation titled “Semantic Hyperlapse for Egocentric Videos” has been awarded the best Computer Vision/Image Processing/Pattern Recognition M.Sc. Dissertation in the SIBGRAPI 2017 - 30th Conference on Graphics, Patterns and Images (Workshop of Theses and Dissertations).
Details about the paper can be found in the Publications Section. You can get the full dissertation through this download icon:
My presentation has been has been awarded as the Best Presentation of Master’s Work Dissertation at Week of Graduate Seminars held by the Departamento de Ciência da Computação (DCC-UFMG).
My M.Sc. Dissertation is titled “Semantic Hyperlapse for Egocentric Videos” and it can be downloaded here.
Click here for more info about the award (in Portuguese).