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20152021
most citedGenerative Adversarial Networks in Computer Vision: A Survey and Taxonomy

273 citations · 415 across the 13 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.SP2019★ 29 cited

Synthesis of Realistic ECG using Generative Adversarial Networks

Anne Marie Delaney, Eoin Brophy, Tomas E. Ward

Access to medical data is highly restricted due to its sensitive nature, preventing communities from using this data for research or clinical training. Common methods of de-identif…

cs.LG2019★ 273 cited

Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

Zhengwei Wang, Qi She, Tomas E. Ward

Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably their most significant impact has been in the area of computer vision where gre…

cs.CV2019★ 5 cited

Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial Networks

Zhengwei Wang, Qi She, Alan F. Smeaton +2

Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. Arguably the…

cs.LG2019★ 28 cited

Quick and Easy Time Series Generation with Established Image-based GANs

Eoin Brophy, Zhengwei Wang, Tomas E. Ward

In the recent years Generative Adversarial Networks (GANs) have demonstrated significant progress in generating authentic looking data. In this work we introduce our simple method…

eess.IV2019★ 11 cited

Spatial Filtering Pipeline Evaluation of Cortically Coupled Computer Vision System for Rapid Serial Visual Presentation

Zhengwei Wang, Graham Healy, Alan F. Smeaton +1

Rapid Serial Visual Presentation (RSVP) is a paradigm that supports the application of cortically coupled computer vision to rapid image search. In RSVP, images are presented to pa…