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ORCIDMin-Cheol Sagong
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2020 – today
- 2024
[j5]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)- [i6]Minsoo Kim, Min-Cheol Sagong, Gi Pyo Nam, Junghyun Cho, Ig-Jae Kim:
VIGFace: Virtual Identity Generation Model for Face Image Synthesis. CoRR abs/2403.08277 (2024) - 2023
- [j4]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) - [c6]Sumin Song, Min-Cheol Sagong, Seung-Won Jung, Sung-Jea Ko:
Semantic and Instance-Aware Pixel-Adaptive Convolution for Panoptic Segmentation. ICIP 2023: 16-20 - 2022
- [c5]Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung, Sung-Jea Ko:
RORD: A Real-world Object Removal Dataset. BMVC 2022: 542 - [i5]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
- [j3]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) - [c4]Yoon-Jae Yeo, Min-Cheol Sagong, Sung-Jea Ko, Dong-Pan Lim:
Efficient Pyramid-Structured Networks Using Channel Separating Gate. GCCE 2021: 986-987 - [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
- [j2]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) - [j1]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)
2010 – 2019
- 2019
- [c3]Min-Cheol Sagong, Yong-Goo Shin, Seung-Wook Kim, Seung Park, Sung-Jea Ko:
PEPSI : Fast Image Inpainting With Parallel Decoding Network. CVPR 2019: 11360-11368 - [c2]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
- [c1]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
Coauthor Index
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