Washington L. S. Ramos

According to our database, Washington L. S. Ramos authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions.

Abdulrahman Kerim, Washington L. S. Ramos, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

A multimodal hyperlapse method based on video and songs' emotion alignment.

Diognei de Matos, Washington L. S. Ramos, Michel Melo Silva, Luiz Romanhol, Erickson R. Nascimento

Pattern Recognit. Lett., February, 2023

Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method.

Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Victor Moura, Keller Oliveira, Leandro Soriano Marcolino, Erickson R. Nascimento

IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022

Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach.

Abdulrahman Kerim, Felipe C. Chamone, Washington L. S. Ramos, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

A Sparse Sampling-Based Framework for Semantic Fast-Forward of First-Person Videos.

Michel Melo Silva, Washington L. S. Ramos, Mario F. M. Campos, Erickson R. Nascimento

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Musical Hyperlapse: A Multimodal Approach to Accelerate First-Person Videos.

Diognei de Matos, Washington L. S. Ramos, Luiz Romanhol, Erickson R. Nascimento

Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

2020

Personalizing Fast-Forward Videos Based on Visual and Textual Features from Social Network.

Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Alan C. Neves, Erickson R. Nascimento

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data.

Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Leandro Soriano Marcolino, Erickson Rangel do Nascimento

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Fast-Forward Methods for Egocentric Videos: A Review.

Michel Melo Silva, Washington L. S. Ramos, Alan C. Neves, Edson Roteia Araujo Junior, Mario Fernando Montenegro Campos, Erickson R. Nascimento

Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images Tutorials, 2019

2018

Making a long story short: A multi-importance fast-forwarding egocentric videos with the emphasis on relevant objects.

Michel Melo Silva, Washington L. S. Ramos, Felipe C. Chamone, João P. K. Ferreira, Mario F. M. Campos, Erickson R. Nascimento

J. Vis. Commun. Image Represent., 2018

A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos.

Michel Melo Silva, Washington L. S. Ramos, João P. K. Ferreira, Felipe C. Chamone, Mario F. M. Campos, Erickson R. Nascimento

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Making a long story short: A Multi-Importance Semantic for Fast-Forwarding Egocentric Videos.

Michel Melo Silva, Washington Luis Souza Ramos, Felipe Cadar Chamone, João Pedro Klock Ferreira, Mario Fernando Montenegro Campos, Erickson Rangel do Nascimento

CoRR, 2017

2016

Fast-forward video based on semantic extraction.

Washington Luis Souza Ramos, Michel Melo Silva, Mario Fernando Montenegro Campos, Erickson Rangel do Nascimento

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Towards Semantic Fast-Forward and Stabilized Egocentric Videos.

Michel Melo Silva, Washington Luis Souza Ramos, João Pedro Klock Ferreira, Mario Fernando Montenegro Campos, Erickson Rangel do Nascimento

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016