Min-Cheol Sagong

21 papers A* 3A 1B 1Misc 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes.
CVPR
Junyong Choi, Min-Cheol Sagong, SeokYeong Lee, Seung-Won Jung, Ig-Jae Kim, Junghyun Cho
2025 J jnl
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes.
CoRR
Junyong Choi, Min-Cheol Sagong, SeokYeong Lee, Seung-Won Jung, Ig-Jae Kim, Junghyun Cho
2025 A* conf
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset.
AAAI
Sithu Aung, Min-Cheol Sagong, Junghyun Cho
2024 J jnl
Conditional Convolution Projecting Latent Vectors on Condition-Specific Space.
IEEE Trans. Neural Networks Learn. Syst.
Min-Cheol Sagong, Yoon-Jae Yeo, Yong-Goo Shin, Sung-Jea Ko
2024 J jnl
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset.
CoRR
Sithu Aung, Min-Cheol Sagong, Junghyun Cho
2024 J jnl
VIGFace: Virtual Identity Generation Model for Face Image Synthesis.
CoRR
Minsoo Kim, Min-Cheol Sagong, Gi Pyo Nam, Junghyun Cho, Ig-Jae Kim
2023 J jnl
Image generation with self pixel-wise normalization.
Appl. Intell.
Yoon-Jae Yeo, Min-Cheol Sagong, Seung Park, Sung-Jea Ko, Yong-Goo Shin
2023 B conf
Semantic and Instance-Aware Pixel-Adaptive Convolution for Panoptic Segmentation.
ICIP
Sumin Song, Min-Cheol Sagong, Seung-Won Jung, Sung-Jea Ko
2022 J jnl
Image Generation with Self Pixel-wise Normalization.
CoRR
Yoon-Jae Yeo, Min-Cheol Sagong, Seung Park, Sung-Jea Ko, Yong-Goo Shin
2022 A conf
RORD: A Real-world Object Removal Dataset.
BMVC
Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung, Sung-Jea Ko
2021 J jnl
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention.
CoRR
Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung, Sung-Jea Ko
2021 — conf
Efficient Pyramid-Structured Networks Using Channel Separating Gate.
GCCE
Yoon-Jae Yeo, Min-Cheol Sagong, Sung-Jea Ko, Dong-Pan Lim
2021 J jnl
PEPSI++: Fast and Lightweight Network for Image Inpainting.
IEEE Trans. Neural Networks Learn. Syst.
Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Wook Kim, Sung-Jea Ko
2020 J jnl
Simple Yet Effective Way for Improving the Performance of Depth Map Super-Resolution.
IEEE Signal Process. Lett.
Yoon-Jae Yeo, Min-Cheol Sagong, Yong-Goo Shin, Seung-Won Jung, Sung-Jea Ko
2020 J jnl
Simple Yet Effective Way for Improving the Performance of Lossy Image Compression.
IEEE Signal Process. Lett.
Yoon-Jae Yeo, Yong-Goo Shin, Min-Cheol Sagong, Seung-Wook Kim, Sung-Jea Ko
2019 J jnl
A Simple yet Effective Way for Improving the Performance of GANs.
CoRR
Yong-Goo Shin, Yoon-Jae Yeo, Min-Cheol Sagong, Cheol-Hwan Yoo, Sung-Jea Ko
2019 — conf
Deep Fashion Recommendation System with Style Feature Decomposition.
ICCE-Berlin
Yong-Goo Shin, Yoon-Jae Yeo, Min-Cheol Sagong, Seo-Won Ji, Sung-Jea Ko
2019 A* conf
PEPSI : Fast Image Inpainting With Parallel Decoding Network.
CVPR
Min-Cheol Sagong, Yong-Goo Shin, Seung-Wook Kim, Seung Park, Sung-Jea Ko
2019 J jnl
PEPSI++: Fast and Lightweight Network for Image Inpainting.
CoRR
Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Wook Kim, Sung-Jea Ko
2019 J jnl
cGANs with Conditional Convolution Layer.
CoRR
Min-Cheol Sagong, Yong-Goo Shin, Yoon-Jae Yeo, Seung Park, Sung-Jea Ko
2018 Misc conf
Adversarial Context Aggregation Network for Low-Light Image Enhancement.
DICTA
Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo, Sung-Jea Ko