125 citations · 126 across the 3 of their papers we have counts for
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cs.DC2019
Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs
Jung-Woo Chang, Saehyun Ahn, Keon-Woo Kang +1
Generative adversarial networks (GANs) have shown excellent performance in image and speech applications. GANs create impressive data primarily through a new type of operator calle…
cs.DC2018★ 125 cited
An Energy-Efficient FPGA-based Deconvolutional Neural Networks Accelerator for Single Image Super-Resolution
Jung-Woo Chang, Keon-Woo Kang, Suk-Ju Kang
Convolutional neural networks (CNNs) demonstrate excellent performance in various computer vision applications. In recent years, FPGA-based CNN accelerators have been proposed for…