activity
20172026
most citedLearning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio

90 citations · 279 across the 30 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.CV2017★ 18 cited

Making a long story short: A Multi-Importance fast-forwarding egocentric videos with the emphasis on relevant objects

Michel Melo Silva, Washington Luis Souza Ramos, Felipe Cadar Chamone +3

The emergence of low-cost high-quality personal wearable cameras combined with the increasing storage capacity of video-sharing websites have evoked a growing interest in first-per…

cs.CV2017★ 1 cited

A Robust Indoor Scene Recognition Method based on Sparse Representation

Guilherme Nascimento, Camila Laranjeira, Vinicius Braz +2

In this paper, we present a robust method for scene recognition, which leverages Convolutional Neural Networks (CNNs) features and Sparse Coding setting by creating a new represent…

cs.CV2017★ 15 cited

Fast-Forward Video Based on Semantic Extraction

Washington Luis Souza Ramos, Michel Melo Silva, Mario Fernando Montenegro Campos +1

Thanks to the low operational cost and large storage capacity of smartphones and wearable devices, people are recording many hours of daily activities, sport actions and home video…

cs.CV2017★ 15 cited

Towards Semantic Fast-Forward and Stabilized Egocentric Videos

Michel Melo Silva, Washington Luis Souza Ramos, Joao Pedro Klock Ferreira +2

The emergence of low-cost personal mobiles devices and wearable cameras and the increasing storage capacity of video-sharing websites have pushed forward a growing interest towards…

cs.CV2017

Complexity-Aware Assignment of Latent Values in Discriminative Models for Accurate Gesture Recognition

Manoel Horta Ribeiro, Bruno Teixeira, Antônio Otávio Fernandes +2

Many of the state-of-the-art algorithms for gesture recognition are based on Conditional Random Fields (CRFs). Successful approaches, such as the Latent-Dynamic CRFs, extend the CR…