Manri Cheon | DeepAI

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∙ 01/19/2021

Ambiguity of Objective Image Quality Metrics: A New Methodology for Performance Evaluation

Objective image quality metrics try to estimate the perceptual quality o...

0 Manri Cheon, et al. ∙

∙ 12/08/2020

Texture Transform Attention for Realistic Image Inpainting

Over the last few years, the performance of inpainting to fill missing r...

0 Yejin Kim, et al. ∙

∙ 05/06/2020

NTIRE 2020 Challenge on Image Demoireing: Methods and Results

This paper reviews the Challenge on Image Demoireing that was part of th...

8 Shanxin Yuan, et al. ∙

∙ 11/30/2018

Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network

Recently, several deep learning-based image super-resolution methods hav...

0 Jun-Ho Choi, et al. ∙

∙ 11/29/2018

RAM: Residual Attention Module for Single Image Super-Resolution

Attention mechanisms are a design trend of deep neural networks that sta...

0 Jun-Hyuk Kim, et al. ∙

∙ 09/13/2018

Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality

Recently, it has been shown that in super-resolution, there exists a tra...

0 Jun-Ho Choi, et al. ∙

∙ 09/13/2018

Generative adversarial network-based image super-resolution using perceptual content losses

In this paper, we propose a deep generative adversarial network for supe...

0 Manri Cheon, et al. ∙

∙ 09/29/2017

Impact of Three-Dimensional Video Scalability on Multi-View Activity Recognition using Deep Learning

Human activity recognition is one of the important research topics in co...

0 Jun-Ho Choi, et al. ∙

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