Seungjun Nah

Orcid: 0000-0003-3971-9402

According to our database1, Seungjun Nah authored at least 28 papers between 2015 and 2023.

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Bibliography

2023
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models.
CoRR, 2023

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.
CoRR, 2022

Pay Attention to Hidden States for Video Deblurring: Ping-Pong Recurrent Neural Networks and Selective Non-Local Attention.
CoRR, 2022

Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring.
Proceedings of the Tenth International Conference on Learning Representations, 2022

CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022, 2022

Attentive Fine-Grained Structured Sparsity for Image Restoration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Clean Images are Hard to Reblur: A New Clue for Deblurring.
CoRR, 2021

NTIRE 2021 Challenge on Video Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

NTIRE 2021 Challenge on Image Deblurring.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Recurrence-in-Recurrence Networks for Video Deblurring.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
AIM 2020 Challenge on Video Temporal Super-Resolution.
CoRR, 2020

NTIRE 2020 Challenge on Image and Video Deblurring.
CoRR, 2020

AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results.
CoRR, 2020

AIM 2020 Challenge on Video Temporal Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


2019
AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019



Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Dynamic Video Deblurring Using a Locally Adaptive Blur Model.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Clustering Convolutional Kernels to Compress Deep Neural Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Enhanced Deep Residual Networks for Single Image Super-Resolution.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model.
CoRR, 2016

2015
Random forest with data ensemble for saliency detection.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015


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