Jaejun Yoo

According to our database, Jaejun Yoo authored at least 43 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Universal Dehazing via Haze Style Transfer.

Eunpil Park, Jaejun Yoo, Jae-Young Sim

IEEE Trans. Circuits Syst. Video Technol., September, 2024

Data Augmentation for Low-Level Vision: CutBlur and Mixture-of-Augmentation.

Namhyuk Ahn, Jaejun Yoo, Kyung-Ah Sohn

Int. J. Comput. Vis., June, 2024

Bridging the Domain Gap: A Simple Domain Matching Method for Reference-Based Image Super-Resolution in Remote Sensing.

Jeongho Min, Yejun Lee, Dongyoung Kim, Jaejun Yoo

IEEE Geosci. Remote. Sens. Lett., 2024

Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation.

Sangyeop Yeo, Yoojin Jang, Jaejun Yoo

CoRR, 2024

PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation.

Jaejung Seol, Seojun Kim, Jaejun Yoo

CoRR, 2024

Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation.

Kihong Kim, Haneol Lee, Jihye Park, Seyeon Kim, Kwanghee Lee, Seungryong Kim, Jaejun Yoo

CoRR, 2024

RADIO: Reference-Agnostic Dubbing Video Synthesis.

Dongyeun Lee, Chaewon Kim, Sangjoon Yu, Jaejun Yoo, Gyeong-Moon Park

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models.

Pum Jun Kim, Seojun Kim, Jaejun Yoo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PosterLlama: Bridging Design Ability of Language Model to Content-Aware Layout Generation.

Jaejung Seol, Seojun Kim, Jaejun Yoo

Proceedings of the Computer Vision - ECCV 2024, 2024

MOVES: Motion-Oriented VidEo Sampling for Natural Language-Based Vehicle Retrieval.

Dongyoung Kim, Kyoungoh Lee, In-Su Jang, Kwang-Ju Kim, Pyong-Kun Kim, Jaejun Yoo

Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

2023

Efficient Storage of Fine-Tuned Models via Low-Rank Approximation of Weight Residuals.

Simo Ryu, Seunghyun Seo, Jaejun Yoo

CoRR, 2023

TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models.

Pum Jun Kim, Yoojin Jang, Jisu Kim, Jaejun Yoo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Robust Contrail Detection by Mitigating Label Bias via a Probabilistic Deep Learning Model: A Preliminary Study.

Yejun Lee, Eun-Kyeong Kim, Jaejun Yoo

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data.

Jihye Park, Sunwoo Kim, Soohyun Kim, Seokju Cho, Jaejun Yoo, Youngjung Uh, Seungryong Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fix the Noise: Disentangling Source Feature for Controllable Domain Translation.

Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Jaejun Yoo, Junmo Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Can We Find Strong Lottery Tickets in Generative Models?

Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data.

Jihye Park, Soohyun Kim, Sunwoo Kim, Jaejun Yoo, Youngjung Uh, Seungryong Kim

CoRR, 2022

2021

Time-Dependent Deep Image Prior for Dynamic MRI.

Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta, Jérôme Yerly, Matthias Stuber, Michael Unser

IEEE Trans. Medical Imaging, 2021

Rethinking the Truly Unsupervised Image-to-Image Translation.

Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Deep Learning Diffuse Optical Tomography.

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

IEEE Trans. Medical Imaging, 2020

Reliable Fidelity and Diversity Metrics for Generative Models.

Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo

Proceedings of the 37th International Conference on Machine Learning, 2020

Multi-CryoGAN: Reconstruction of Continuous Conformations in Cryo-EM Using Generative Adversarial Networks.

Harshit Gupta, Thong H. Phan, Jaejun Yoo, Michael Unser

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy.

Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

StarGAN v2: Diverse Image Synthesis for Multiple Domains.

Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution.

Namhyuk Ahn, Jaejun Yoo, Kyung-Ah Sohn

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling.

Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo

CoRR, 2019

Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation.

Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha

Proceedings of the 7th International Conference on Learning Representations, 2019

Photorealistic Style Transfer via Wavelet Transforms.

Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network.

Eunhee Kang, Won Chang, Jaejun Yoo, Jong Chul Ye

IEEE Trans. Medical Imaging, 2018

Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks.

Dongwook Lee, Jaejun Yoo, Sungho Tak, Jong Chul Ye

IEEE Trans. Biomed. Eng., 2018

A Mathematical Framework for Deep Learning in Elastic Source Imaging.

Jaejun Yoo, Abdul Wahab, Jong Chul Ye

SIAM J. Appl. Math., 2018

Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement.

Jang-Hyun Kim, Jaejun Yoo, Sanghyuk Chun, Adrian Kim, Jung-Woo Ha

CoRR, 2018

2017

A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media.

Jaejun Yoo, Younghoon Jung, Mikyoung Lim, Jong Chul Ye, Abdul Wahab

SIAM J. Imaging Sci., 2017

Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography.

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

CoRR, 2017

Deep artifact learning for compressed sensing and parallel MRI.

Dongwook Lee, Jaejun Yoo, Jong Chul Ye

CoRR, 2017

Wavelet Residual Network for Low-Dose CT via Deep Convolutional Framelets.

Eunhee Kang, Jaejun Yoo, Jong Chul Ye

CoRR, 2017

Deep Learning with Domain Adaptation for Accelerated Projection Reconstruction MR.

Yoseob Han, Jaejun Yoo, Jong Chul Ye

CoRR, 2017

Deep residual learning for compressed sensing MRI.

Dongwook Lee, Jaejun Yoo, Jong Chul Ye

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification.

Woong Bae, Jaejun Yoo, Jong Chul Ye

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis.

Yoseob Han, Jaejun Yoo, Jong Chul Ye

CoRR, 2016

2013

Neuroelectromagnetic imaging of correlated sources using a novel subspace penalized sparse learning.

Jaejun Yoo, Jongmin Kim, Chang-Hwan Im, Jong Chul Ye

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013