125 citations · 134 across the 5 of their papers we have counts for
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An Efficient Accelerator Design Methodology for Deformable Convolutional Networks
Saehyun Ahn, Jung-Woo Chang, Suk-Ju Kang
Deformable convolutional networks have demonstrated outstanding performance in object recognition tasks with an effective feature extraction. Unlike standard convolution, the defor…
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…
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…