Subin Yang - IEEE Xplore Author Profile
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Subin Yang

Publications
2
Citations
0
Publications by Year
20222023
Co-Authors:
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Subin Yang

Affiliation

Kyung Hee University, Yongin, South Korea

Publication Topics

Biography

Subin Yang received the bachelor’s degree from the Department of Mechanical Engineering and Software Convergence, Kyung Hee University, South Korea, in 2021. She is currently pursuing the M.S. degree with the Department of Computer Science and Engineering, Kyung Hee University. Her research interests include image generation and model compression for deep neural networks.(Based on document published on 21 December 2022).
Publications
2
Citations
0
Publications by Year
20222023
Co-Authors:
Author's Published Works

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Exploring the Optimal Bit Pair for a Quantized Generator and Discriminator

Subin Yang;Muhammad Salman Ali;A F M Shahab Uddin;Sung-Ho Bae

2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)
Year: 2023 | Conference Paper |
Generative Adversarial Networks (GANs) are hindered from real-world applications due to their high computational cost and memory requirements. Model compression techniques, such as quantization, pruning, and knowledge distillation, can compress neural networks, lower memory requirements, and model size. However, quantizing generators often leads to a suboptimal solution. In this paper, we propose ...Show More

Exploring the Optimal Bit Pair for a Quantized Generator and Discriminator

Subin Yang;Muhammad Salman Ali;A F M Shahab Uddin;Sung-Ho Bae

Year: 2023 | Conference Paper |

DenSE SwinHDR: SDRTV to HDRTV Conversion Using Densely Connected Swin Transformer With Squeeze and Excitation Module

Joon-Ki Bae;Subin Yang;Sung-Ho Bae

IEEE Access
Year: 2022 | Volume: 10 | Journal Article |
Modern displays have the capability of rendering video contents encoded with high dynamic range (HDR) standards. HDR contents deliver more realistic visual experiences by wider color gamut and luminance compared to standard dynamic range (SDR) contents. However, most of the available contents are encoded with SDR standards. To provide HDR contents, the technology converts existing SDR contents to ...Show More

DenSE SwinHDR: SDRTV to HDRTV Conversion Using Densely Connected Swin Transformer With Squeeze and Excitation Module

Joon-Ki Bae;Subin Yang;Sung-Ho Bae

Year: 2022 | Volume: 10 | Journal Article |

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