Jaejun Yoo

72 papers A* 12A 1B 1Journal 42Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Reliability of Cue Conflict and Beyond.
CoRR
Pum Jun Kim, Seung-Ah Lee, Seongho Park, Dongyoon Han, Jaejun Yoo
2025 J jnl
B-RIGHT: Benchmark Re-evaluation for Integrity in Generalized Human-Object Interaction Testing.
CoRR
Yoojin Jang, Junsu Kim, Hayeon Kim, Eun-ki Lee, Eun-Sol Kim, Seungryul Baek, Jaejun Yoo
2025 A* conf
BF-STVSR: B-Splines and Fourier - Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution.
CVPR
Eunjin Kim, Hyeonjin Kim, Kyong Hwan Jin, Jaejun Yoo
2025 J jnl
BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution.
CoRR
Eunjin Kim, Hyeonjin Kim, Kyong Hwan Jin, Jaejun Yoo
2025 — conf
Dynamic-Aware Spatio-Temporal Representation Learning for Dynamic MRI Reconstruction.
MICCAI (4)
Dayoung Baik, Jaejun Yoo
2025 A* conf
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement.
AAAI
Hyeonjin Kim, Jaejun Yoo
2024 J jnl
Bridging the Domain Gap: A Simple Domain Matching Method for Reference-Based Image Super-Resolution in Remote Sensing.
IEEE Geosci. Remote. Sens. Lett.
Jeongho Min, Yejun Lee, Dongyoung Kim, Jaejun Yoo
2024 J jnl
Bridging the Domain Gap: A Simple Domain Matching Method for Reference-based Image Super-Resolution in Remote Sensing.
CoRR
Jeongho Min, Yejun Lee, Dongyoung Kim, Jaejun Yoo
2024 J jnl
Data Augmentation for Low-Level Vision: CutBlur and Mixture-of-Augmentation.
Int. J. Comput. Vis.
Namhyuk Ahn, Jaejun Yoo, Kyung-Ah Sohn
2024 — conf
Gated-MCBAM: Cross-Modal Block Attention Module with Gating Mechanism for Remote Sensing Segmentation.
WHISPERS
Jeongho Min, Sungbin Son, Hyeonjin Kim, Seunghyeok Back, Jaejun Yoo, Youngkyun Kong
2024 — conf
Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation.
ECCV (52)
Kihong Kim, Haneol Lee, Jihye Park, Seyeon Kim, Kwanghee Lee, Seungryong Kim, Jaejun Yoo
2024 J jnl
Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation.
CoRR
Kihong Kim, Haneol Lee, Jihye Park, Seyeon Kim, Kwanghee Lee, Seungryong Kim, Jaejun Yoo
2024 B conf
MOVES: Motion-Oriented VidEo Sampling for Natural Language-Based Vehicle Retrieval.
AVSS
Dongyoung Kim, Kyoungoh Lee, In-Su Jang, Kwang-Ju Kim, Pyong-Kun Kim, Jaejun Yoo
2024 — conf
Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation.
ECCV (88)
Sangyeop Yeo, Yoojin Jang, Jaejun Yoo
2024 J jnl
Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation.
CoRR
Sangyeop Yeo, Yoojin Jang, Jaejun Yoo
2024 J jnl
PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation.
CoRR
Jaejung Seol, Seojun Kim, Jaejun Yoo
2024 — conf
PosterLlama: Bridging Design Ability of Language Model to Content-Aware Layout Generation.
ECCV (82)
Jaejung Seol, Seojun Kim, Jaejun Yoo
2024 A conf
RADIO: Reference-Agnostic Dubbing Video Synthesis.
WACV
Dongyeun Lee, Chaewon Kim, Sangjoon Yu, Jaejun Yoo, Gyeong-Moon Park
2024 A* conf
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models.
ICLR
Pum Jun Kim, Seojun Kim, Jaejun Yoo
2024 J jnl
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models.
CoRR
Pum Jun Kim, Seojun Kim, Jaejun Yoo
2024 J jnl
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement.
CoRR
Hyeonjin Kim, Jaejun Yoo
2024 J jnl
Universal Dehazing via Haze Style Transfer.
IEEE Trans. Circuits Syst. Video Technol.
Eunpil Park, Jaejun Yoo, Jae-Young Sim
2023 A* conf
Can We Find Strong Lottery Tickets in Generative Models?
AAAI
Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo
2023 J jnl
Efficient Storage of Fine-Tuned Models via Low-Rank Approximation of Weight Residuals.
CoRR
Simo Ryu, Seunghyun Seo, Jaejun Yoo
2023 A* conf
Fix the Noise: Disentangling Source Feature for Controllable Domain Translation.
CVPR
Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Jaejun Yoo, Junmo Kim
2023 J jnl
Fix the Noise: Disentangling Source Feature for Controllable Domain Translation.
CoRR
Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Jaejun Yoo, Junmo Kim
2023 A* conf
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data.
CVPR
Jihye Park, Sunwoo Kim, Soohyun Kim, Seokju Cho, Jaejun Yoo, Youngjung Uh, Seungryong Kim
2023 J jnl
RADIO: Reference-Agnostic Dubbing Video Synthesis.
CoRR
Dongyeun Lee, Chaewon Kim, Sangjoon Yu, Jaejun Yoo, Gyeong-Moon Park
2023 A* conf
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models.
NeurIPS
Pum Jun Kim, Yoojin Jang, Jisu Kim, Jaejun Yoo
2023 J jnl
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models.
CoRR
Pum Jun Kim, Yoojin Jang, Jisu Kim, Jaejun Yoo
2023 — conf
Towards Robust Contrail Detection by Mitigating Label Bias via a Probabilistic Deep Learning Model: A Preliminary Study.
SIGSPATIAL/GIS
Yejun Lee, Eun-Kyeong Kim, Jaejun Yoo
2022 J jnl
Can We Find Strong Lottery Tickets in Generative Models?
CoRR
Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo
2022 J jnl
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data.
CoRR
Jihye Park, Soohyun Kim, Sunwoo Kim, Jaejun Yoo, Youngjung Uh, Seungryong Kim
2022 — ed.
Machine Learning for Medical Image Reconstruction - 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
MLMIR@MICCAI
Nandinee Fariah Haq, Patricia Johnson, Andreas Maier, Chen Qin, Tobias Würfl, Jaejun Yoo
2021 — ed.
Machine Learning for Medical Image Reconstruction - 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
MLMIR@MICCAI
Nandinee Fariah Haq, Patricia Johnson, Andreas Maier, Tobias Würfl, Jaejun Yoo
2021 A* conf
Rethinking the Truly Unsupervised Image-to-Image Translation.
ICCV
Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim
2021 J jnl
Time-Dependent Deep Image Prior for Dynamic MRI.
IEEE Trans. Medical Imaging
Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta, Jérôme Yerly, Matthias Stuber, Michael Unser
2020 J jnl
Deep Learning Diffuse Optical Tomography.
IEEE Trans. Medical Imaging
Jaejun Yoo, Sohail Sabir, Duchang Heo, Kee Hyun Kim, Abdul Wahab, Yoonseok Choi, Seul-I Lee, Eun Young Chae, Hak Hee Kim, Young Min Bae, Young-Wook Choi, Seungryong Cho, Jong Chul Ye
2020 — conf
Multi-CryoGAN: Reconstruction of Continuous Conformations in Cryo-EM Using Generative Adversarial Networks.
ECCV Workshops (1)
Harshit Gupta, Thong H. Phan, Jaejun Yoo, Michael Unser
2020 — conf
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results.
CVPR Workshops
Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou
2020 J jnl
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results.
CoRR
Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou
2020 A* conf
Reliable Fidelity and Diversity Metrics for Generative Models.
ICML
Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo
2020 J jnl
Reliable Fidelity and Diversity Metrics for Generative Models.
CoRR
Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo
2020 A* conf
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy.
CVPR
Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn
2020 J jnl
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy.
CoRR
Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn
2020 J jnl
Rethinking the Truly Unsupervised Image-to-Image Translation.
CoRR
Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim
2020 — conf
SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution.
CVPR Workshops
Namhyuk Ahn, Jaejun Yoo, Kyung-Ah Sohn
2020 J jnl
SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution.
CoRR
Namhyuk Ahn, Jaejun Yoo, Kyung-Ah Sohn
2020 A* conf
StarGAN v2: Diverse Image Synthesis for Multiple Domains.
CVPR
Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha
2019 — conf
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation.
ICLR (Poster)
Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha
2019 J jnl
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation.
CoRR
Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha
2019 J jnl
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling.
CoRR
Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo
2019 A* conf
Photorealistic Style Transfer via Wavelet Transforms.
ICCV
Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha
2019 J jnl
Photorealistic Style Transfer via Wavelet Transforms.
CoRR
Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha
2019 J jnl
StarGAN v2: Diverse Image Synthesis for Multiple Domains.
CoRR
Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha
2018 J jnl
A Mathematical Framework for Deep Learning in Elastic Source Imaging.
CoRR
Jaejun Yoo, Abdul Wahab, Jong Chul Ye
2018 J jnl
A Mathematical Framework for Deep Learning in Elastic Source Imaging.
SIAM J. Appl. Math.
Jaejun Yoo, Abdul Wahab, Jong Chul Ye
2018 J jnl
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network.
IEEE Trans. Medical Imaging
Eunhee Kang, Won Chang, Jaejun Yoo, Jong Chul Ye
2018 J jnl
Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks.
IEEE Trans. Biomed. Eng.
Dongwook Lee, Jaejun Yoo, Sungho Tak, Jong Chul Ye
2018 J jnl
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks.
CoRR
Dongwook Lee, Jaejun Yoo, Sungho Tak, Jong Chul Ye
2018 J jnl
Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement.
CoRR
Jang-Hyun Kim, Jaejun Yoo, Sanghyuk Chun, Adrian Kim, Jung-Woo Ha
2017 J jnl
A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media.
SIAM J. Imaging Sci.
Jaejun Yoo, YoungHoon Jung, Mikyoung Lim, Jong Chul Ye, Abdul Wahab
2017 — conf
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification.
CVPR Workshops
Woong Bae, Jaejun Yoo, Jong Chul Ye
2017 J jnl
Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography.
CoRR
Jaejun Yoo, Sohail Sabir, Duchang Heo, Kee Hyun Kim, Abdul Wahab, Yoonseok Choi, Seul-I Lee, Eun Young Chae, Hak Hee Kim, Young Min Bae, Young-Wook Choi, Seungryong Cho, Jong Chul Ye
2017 J jnl
Deep Learning with Domain Adaptation for Accelerated Projection Reconstruction MR.
CoRR
Yoseob Han, Jaejun Yoo, Jong Chul Ye
2017 J jnl
Deep artifact learning for compressed sensing and parallel MRI.
CoRR
Dongwook Lee, Jaejun Yoo, Jong Chul Ye
2017 — conf
Deep residual learning for compressed sensing MRI.
ISBI
Dongwook Lee, Jaejun Yoo, Jong Chul Ye
2017 — conf
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.
CVPR Workshops
Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo
2017 J jnl
Wavelet Residual Network for Low-Dose CT via Deep Convolutional Framelets.
CoRR
Eunhee Kang, Jaejun Yoo, Jong Chul Ye
2016 J jnl
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification.
CoRR
Woong Bae, Jaejun Yoo, Jong Chul Ye
2016 J jnl
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis.
CoRR
Yoseob Han, Jaejun Yoo, Jong Chul Ye
2013 — conf
Neuroelectromagnetic imaging of correlated sources using a novel subspace penalized sparse learning.
ISBI
Jaejun Yoo, Jongmin Kim, Chang-Hwan Im, Jong Chul Ye