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2020 – today
- 2024
[j8]Min-Cheol Sagong
, Yoon-Jae Yeo, Yong-Goo Shin, Sung-Jea Ko:
Conditional Convolution Projecting Latent Vectors on Condition-Specific Space. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1386-1393 (2024)- [i7]Mykhailo Uss, Ruslan Yermolenko, Olena Kolodiazhna, Oleksii Shashko, Ivan Safonov, Volodymyr Savin, Yoon-Jae Yeo, Seo-Won Ji, Jaeyun Jeong:
Two Heads are Better Than One: Neural Networks Quantization with 2D Hilbert Curve-based Output Representation. CoRR abs/2405.14024 (2024) - 2023
- [j7]Yoon-Jae Yeo, Min-Cheol Sagong, Seung Park, Sung-Jea Ko, Yong-Goo Shin:
Image generation with self pixel-wise normalization. Appl. Intell. 53(8): 9409-9423 (2023) - 2022
- [j6]Seung Park, Yoon-Jae Yeo, Yong-Goo Shin:
PConv: simple yet effective convolutional layer for generative adversarial network. Neural Comput. Appl. 34(9): 7113-7124 (2022) - [j5]Yoon-Jae Yeo, Yong-Goo Shin, Seung Park, Sung-Jea Ko:
Simple Yet Effective Way for Improving the Performance of GAN. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1811-1818 (2022) - [c6]Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung, Sung-Jea Ko:
RORD: A Real-world Object Removal Dataset. BMVC 2022: 542 - [i6]Yoon-Jae Yeo, Min-Cheol Sagong, Seung Park, Sung-Jea Ko, Yong-Goo Shin:
Image Generation with Self Pixel-wise Normalization. CoRR abs/2201.10725 (2022) - 2021
- [j4]Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Wook Kim, Sung-Jea Ko:
PEPSI++: Fast and Lightweight Network for Image Inpainting. IEEE Trans. Neural Networks Learn. Syst. 32(1): 252-265 (2021) - [c5]Yoon-Jae Yeo, Min-Cheol Sagong, Sung-Jea Ko, Dong-Pan Lim:
Efficient Pyramid-Structured Networks Using Channel Separating Gate. GCCE 2021: 986-987 - [i5]Seung Park, Yoon-Jae Yeo, Yong-Goo Shin:
Generative Adversarial Network using Perturbed-Convolutions. CoRR abs/2101.10841 (2021) - [i4]Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung, Sung-Jea Ko:
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention. CoRR abs/2107.13144 (2021) - 2020
- [j3]Yoon-Jae Yeo, Yong-Goo Shin, Min-Cheol Sagong, Seung-Wook Kim, Sung-Jea Ko:
Simple Yet Effective Way for Improving the Performance of Lossy Image Compression. IEEE Signal Process. Lett. 27: 530-534 (2020) - [j2]Yoon-Jae Yeo, Min-Cheol Sagong, Yong-Goo Shin, Seung-Won Jung, Sung-Jea Ko:
Simple Yet Effective Way for Improving the Performance of Depth Map Super-Resolution. IEEE Signal Process. Lett. 27: 2099-2103 (2020) - [j1]Yong-Goo Shin, Seung Park, Yoon-Jae Yeo, Min-Jae Yoo, Sung-Jea Ko:
Unsupervised Deep Contrast Enhancement With Power Constraint for OLED Displays. IEEE Trans. Image Process. 29: 2834-2844 (2020)
2010 – 2019
- 2019
- [c4]Yong-Goo Shin, Yoon-Jae Yeo, Min-Cheol Sagong, Seo-Won Ji, Sung-Jea Ko:
Deep Fashion Recommendation System with Style Feature Decomposition. ICCE-Berlin 2019: 301-305 - [i3]Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Wook Kim, Sung-Jea Ko:
PEPSI++: Fast and Lightweight Network for Image Inpainting. CoRR abs/1905.09010 (2019) - [i2]Min-Cheol Sagong, Yong-Goo Shin, Yoon-Jae Yeo, Seung Park, Sung-Jea Ko:
cGANs with Conditional Convolution Layer. CoRR abs/1906.00709 (2019) - [i1]Yong-Goo Shin, Yoon-Jae Yeo, Min-Cheol Sagong, Cheol-Hwan Yoo, Sung-Jea Ko:
A Simple yet Effective Way for Improving the Performance of GANs. CoRR abs/1911.10979 (2019) - 2018
- [c3]Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo, Sung-Jea Ko:
Adversarial Context Aggregation Network for Low-Light Image Enhancement. DICTA 2018: 1-5 - [c2]Dong-Pan Lim, Seo-Won Ji, Yoon-Jae Yeo, Sung-Jea Ko:
Phase Matching Guided Filtering. GCCE 2018: 388-389 - [c1]Seo-Won Ji, Yoon-Jae Yeo, Seok-Jae Kang, Joon-Hyuk Im, Sung-Jea Ko:
A novel method to generate a high-quality image by using a stereo camera. ICCE 2018: 1-2
Coauthor Index
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