148 citations · 397 across the 22 of their papers we have counts for
9 papers · 1 filter
MAMNet: Multi-path Adaptive Modulation Network for Image Super-Resolution
Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon +1
In recent years, single image super-resolution (SR) methods based on deep convolutional neural networks (CNNs) have made significant progress. However, due to the non-adaptive natu…
Generative adversarial network-based image super-resolution using perceptual content losses
Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi +1
In this paper, we propose a deep generative adversarial network for super-resolution considering the trade-off between perception and distortion. Based on good performance of a rec…
On Evaluating Perceptual Quality of Online User-Generated Videos
Soobeom Jang, Jong-Seok Lee
This paper deals with the issue of the perceptual quality evaluation of user-generated videos shared online, which is an important step toward designing video-sharing services that…
Perceptual Experience Analysis for Tone-mapped HDR Videos based on EEG and Peripheral Physiological Signals
Seong-Eun Moon, Jong-Seok Lee
High dynamic range (HDR) imaging has been attracting much attention as a technology that can provide immersive experience. Its ultimate goal is to provide better quality of experie…
Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review
Seong-Eun Moon, Jong-Seok Lee
The exponential growth of popularity of multimedia has led to needs for user-centric adaptive applications that manage multimedia content more effectively. Implicit analysis, which…
EEG-based video identification using graph signal modeling and graph convolutional neural network
Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee
This paper proposes a novel graph signal-based deep learning method for electroencephalography (EEG) and its application to EEG-based video identification. We present new methods t…