Jaejun Yoo

Jaejun Yoo

École Polytechnique Fédérale de Lausanne

H-index: 18

Europe-Switzerland

About Jaejun Yoo

Jaejun Yoo, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of deep learning, machine learning, inverse problem, medical imaging, signal processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Universal Dehazing via Haze Style Transfer

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

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

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

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

Consistent Direct Diffusion Bridge with Injection for MRI Reconstruction

RADIO: Reference-Agnostic Dubbing Video Synthesis

Dynamic Fourier ptychography with deep spatiotemporal priors

Jaejun Yoo Information

University

Position

Postdoctoral researcher Laboratoire d'imagerie biomédicale (LIB)

Citations(all)

5872

Citations(since 2020)

5520

Cited By

2018

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

25

i10Index(since 2020)

22

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

Google Scholar

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Jaejun Yoo Skills & Research Interests

deep learning

machine learning

inverse problem

medical imaging

signal processing

Top articles of Jaejun Yoo

Title

Journal

Author(s)

Publication Date

Universal Dehazing via Haze Style Transfer

IEEE Transactions on Circuits and Systems for Video Technology

Eunpil Park

Jaejun Yoo

Jae-Young Sim

2024/4/9

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

arXiv preprint arXiv:2402.13729

Kihong Kim

Haneol Lee

Jihye Park

Seyeon Kim

Kwanghee Lee

...

2024/2/21

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

Advances in Neural Information Processing Systems

Pum Jun Kim

Yoojin Jang

Jisu Kim

Jaejun Yoo

2024/2/13

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

arXiv preprint arXiv:2403.09669

Pum Jun Kim

Seojun Kim

Jaejun Yoo

2024/1/30

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

International Journal of Computer Vision

Namhyuk Ahn

Jaejun Yoo

Kyung-Ah Sohn

2024/1/5

Consistent Direct Diffusion Bridge with Injection for MRI Reconstruction

Pyatkovskiy Sergey

Jaejun Yoo

2024

RADIO: Reference-Agnostic Dubbing Video Synthesis

Dongyeun Lee

Chaewon Kim

Sangjoon Yu

Jaejun Yoo

Gyeong-Moon Park

2024

Dynamic Fourier ptychography with deep spatiotemporal priors

Inverse Problems

Pakshal Bohra

Thanh-an Pham

Yuxuan Long

Jaejun Yoo

Michael Unser

2023/5/9

Fix the noise: Disentangling source feature for controllable domain translation

Dongyeun Lee

Jae Young Lee

Doyeon Kim

Jaehyun Choi

Jaejun Yoo

...

2023

Lanit: Language-driven image-to-image translation for unlabeled data

Jihye Park

Sunwoo Kim

Soohyun Kim

Seokju Cho

Jaejun Yoo

...

2023

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

IEEE Geoscience and Remote Sensing Letters

Jeongho Min

Yejun Lee

Dongyoung Kim

Jaejun Yoo

2023/11/24

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

Yejun Lee

Eun-Kyeong Kim

Jaejun Yoo

2023/11/13

PRISM: Privacy-Preserving Improved Stochastic Masking For Federated Generative Models

Kyeongkook Seo

Dong-Jun Han

Jaejun Yoo

2023/10/13

Can we find strong lottery tickets in generative models?

Proceedings of the AAAI Conference on Artificial Intelligence

Sangyeop Yeo

Yoojin Jang

Jy-yong Sohn

Dongyoon Han

Jaejun Yoo

2023/6/26

Assessment and Analysis of Fidelity and Diversity for GAN-based Medical Image Generative Model

Journal of the Korea Computer Graphics Society

Yoojin Jang

Jaejun Yoo

Helen Hong

2022

Rethinking the truly unsupervised image-to-image translation

Kyungjune Baek

Yunjey Choi

Youngjung Uh

Jaejun Yoo

Hyunjung Shim

2021

Reliable fidelity and diversity metrics for generative models

Muhammad Ferjad Naeem

Seong Joon Oh

Youngjung Uh

Yunjey Choi

Jaejun Yoo

2020/11/21

Multi-CryoGAN: Reconstruction of continuous conformations in Cryo-EM using generative adversarial networks

Harshit Gupta

Thong H Phan

Jaejun Yoo

Michael Unser

2020/8/23

Ntire 2020 challenge on real-world image super-resolution: Methods and results

Andreas Lugmayr

Martin Danelljan

Radu Timofte

2020

Simusr: A simple but strong baseline for unsupervised image super-resolution

Namhyuk Ahn

Jaejun Yoo

Kyung-Ah Sohn

2020

See List of Professors in Jaejun Yoo University(École Polytechnique Fédérale de Lausanne)

Co-Authors

H-index: 71
Jong Chul Ye

Jong Chul Ye

KAIST

H-index: 45
hak hee kim

hak hee kim

University of Ulsan

H-index: 39
Yong Jeong

Yong Jeong

KAIST

H-index: 24
seungryong cho

seungryong cho

KAIST

H-index: 15
Abdul Wahab

Abdul Wahab

Nazarbayev University

H-index: 15
Yoseob Han

Yoseob Han

Harvard University

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