Publications

More Publications

(2026). TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment. In CVPR.

PDF Code Project

(2024). Leveraging synthetic data to learn video stabilization under adverse conditions. In WACV.

PDF Code

(2024). Text-driven Video Acceleration. In SIBGRAPI, 2024. Best Doctoral Thesis.

PDF Code Project

(2023). A multimodal hyperlapse method based on video and songs’ emotion alignment. In PRL.

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(2022). Spatial-Temporal Deep Learning for Automatic Detection of Echocardiographic Predictors of Mortality in Patients Hospitalized With Covid-19-Data From the PROVAR-COVID Study. In Circulation.

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(2022). Semantic segmentation under adverse conditions: A weather and nighttime-aware synthetic data-based approach. In BMVC.

PDF Project

(2022). Text-driven video acceleration: A weakly-supervised reinforcement learning method. In TPAMI, to appear.

Preprint PDF Code Project Journal Website

(2021). Musical Hyperlapse: A Multimodal Approach to Accelerate First-Person Videos. In SIBGRAPI, 2021. Best paper on Pattern Recognition and Related Fields.

Preprint Dataset Project Video Conference Website

(2021). A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos. In TPAMI, vol. 43, no. 4, pp. 1438-1444, 1 April 2021.

Preprint PDF Code Project Video Journal Website

(2020). Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data. In CVPR, 2020.

Preprint PDF Code Project Video Conference Website

Awards

My Ph.D. thesis titled “Text-driven Video Acceleration” has been awarded First Place in the Ph.D. category at the Workshop of Theses and Dissertations during the 37th Conference on Graphics, Patterns and Images (SIBGRAPI 2024). This work was developed at VeRLab (DCC/UFMG) under the supervision of Prof. Erickson R. Nascimento and Prof. Leandro Soriano Marcolino. It presents a reinforcement learning methodology for accelerating instructional videos using text. Details about the associated paper can be found in the Publications Section.

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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.

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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”

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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:

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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).

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