Min-Cheol Sagong

Orcid: 0000-0001-9191-4147

According to our database1, Min-Cheol Sagong authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Conditional Convolution Projecting Latent Vectors on Condition-Specific Space.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

VIGFace: Virtual Identity Generation Model for Face Image Synthesis.
CoRR, 2024

2023
Image generation with self pixel-wise normalization.
Appl. Intell., April, 2023

Semantic and Instance-Aware Pixel-Adaptive Convolution for Panoptic Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
RORD: A Real-world Object Removal Dataset.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
PEPSI++: Fast and Lightweight Network for Image Inpainting.
IEEE Trans. Neural Networks Learn. Syst., 2021

Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention.
CoRR, 2021

Efficient Pyramid-Structured Networks Using Channel Separating Gate.
Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021

2020
Simple Yet Effective Way for Improving the Performance of Lossy Image Compression.
IEEE Signal Process. Lett., 2020

Simple Yet Effective Way for Improving the Performance of Depth Map Super-Resolution.
IEEE Signal Process. Lett., 2020

2019
A Simple yet Effective Way for Improving the Performance of GANs.
CoRR, 2019

cGANs with Conditional Convolution Layer.
CoRR, 2019

Deep Fashion Recommendation System with Style Feature Decomposition.
Proceedings of the 9th IEEE International Conference on Consumer Electronics, 2019

PEPSI : Fast Image Inpainting With Parallel Decoding Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Adversarial Context Aggregation Network for Low-Light Image Enhancement.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018


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