Search Results for author: John Cristian Borges Gamboa

Found 2 papers, 1 papers with code

TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network

4 code implementations19 Mar 2017 Ayushman Dash, John Cristian Borges Gamboa, Sheraz Ahmed, Marcus Liwicki, Muhammad Zeshan Afzal

In this work, we present the Text Conditioned Auxiliary Classifier Generative Adversarial Network, (TAC-GAN) a text to image Generative Adversarial Network (GAN) for synthesizing images from their text descriptions.

Generative Adversarial Network MS-SSIM +1

Deep Learning for Time-Series Analysis

no code implementations7 Jan 2017 John Cristian Borges Gamboa

In many real-world application, e. g., speech recognition or sleep stage classification, data are captured over the course of time, constituting a Time-Series.

General Classification speech-recognition +3

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