Seungjun Nah

Seungjun Nah

Seoul National University

H-index: 17

Asia-South Korea

About Seungjun Nah

Seungjun Nah, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Seoul National University, specializes in the field of Computer Vision, Deep Learning.

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

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution

Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring

Pay attention to hidden states for video deblurring: Ping-pong recurrent neural networks and selective non-local attention

Attentive Fine-Grained Structured Sparsity for Image Restoration

Recurrence-in-Recurrence Networks for Video Deblurring

Deep Dynamic Scene Deblurring: New Datasets, Models, and Optimization

Seungjun Nah Information

University

Position

___

Citations(all)

10945

Citations(since 2020)

10419

Cited By

3830

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

19

i10Index(since 2020)

19

Email

University Profile Page

Seoul National University

Google Scholar

View Google Scholar Profile

Seungjun Nah Skills & Research Interests

Computer Vision

Deep Learning

Top articles of Seungjun Nah

Title

Journal

Author(s)

Publication Date

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models

Songwei Ge

Seungjun Nah

Guilin Liu

Tyler Poon

Andrew Tao

...

2023

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

arXiv preprint arXiv:2211.01324

Yogesh Balaji

Seungjun Nah

Xun Huang

Arash Vahdat

Jiaming Song

...

2022/11/2

CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution

Cheeun Hong

Sungyong Baik

Heewon Kim

Seungjun Nah

Kyoung Mu Lee

2022/10/23

Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring

Seungjun Nah

Sanghyun Son

Jaerin Lee

Kyoung Mu Lee

2022/4/25

Pay attention to hidden states for video deblurring: Ping-pong recurrent neural networks and selective non-local attention

arXiv preprint arXiv:2203.16063

JoonKyu Park

Seungjun Nah

Kyoung Mu Lee

2022/3/30

Attentive Fine-Grained Structured Sparsity for Image Restoration

Junghun Oh

Heewon Kim

Seungjun Nah

Cheeun Hong

Jonghyun Choi

...

2022

Recurrence-in-Recurrence Networks for Video Deblurring

Joonkyu Park

Seungjun Nah

Kyoung Mu Lee

2021/11/22

Deep Dynamic Scene Deblurring: New Datasets, Models, and Optimization

Seungjun Nah

2021

NTIRE 2021 Challenge on Video Super-Resolution

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

Sanghyun Son

Suyoung Lee

Seungjun Nah

Radu Timofte

Kyoung Mu Lee

...

2021/6

NTIRE 2021 Challenge on Image Deblurring

Seungjun Nah

Sanghyun Son

Suyoung Lee

Radu Timofte

Kyoung Mu Lee

...

2021

AIM 2020 Challenge on Video Temporal Super-Resolution

Sanghyun Son

Jaerin Lee

Seungjun Nah

Radu Timofte

Kyoung Mu Lee

...

2020

NTIRE 2020 Challenge on Image and Video Deblurring

Seungjun Nah

Sanghyun Son

Radu Timofte

Kyoung Mu Lee

2020

See List of Professors in Seungjun Nah University(Seoul National University)

Co-Authors

H-index: 70
Kyoung Mu Lee

Kyoung Mu Lee

Seoul National University

H-index: 33
Jiaming Song

Jiaming Song

Stanford University

H-index: 19
Gyeongsik Moon

Gyeongsik Moon

Seoul National University

H-index: 17
Yogesh Balaji

Yogesh Balaji

University of Maryland, Baltimore

H-index: 17
Sanghyun Son

Sanghyun Son

Seoul National University

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