Jong-Seok Lee

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Yonsei University

Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications

In this paper, we propose a novel framework to characterize a wide color...
01/19/2021 ∙ by Junghyuk Lee, et al. ∙ 0 ∙ share

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

Objective image quality metrics try to estimate the perceptual quality o...
01/19/2021 ∙ by Manri Cheon, et al. ∙ 0 ∙ share

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Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks

Convolutional neural networks (CNNs) are widely used to recognize the us...
01/18/2021 ∙ by Seong-Eun Moon, et al. ∙ 20 ∙ share

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Just One Moment: Inconspicuous One Frame Attack on Deep Action Recognition

The video-based action recognition task has been extensively studied in ...
11/30/2020 ∙ by Jaehui Hwang, et al. ∙ 0 ∙ share

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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

This paper introduces the real image Super-Resolution (SR) challenge tha...
09/25/2020 ∙ by Pengxu Wei, et al. ∙ 7 ∙ share

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AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

This paper reviews the AIM 2020 challenge on efficient single image supe...
09/15/2020 ∙ by Kai Zhang, et al. ∙ 6 ∙ share

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SRZoo: An integrated repository for super-resolution using deep learning

Deep learning-based image processing algorithms, including image super-r...
06/02/2020 ∙ by Jun-Ho Choi, et al. ∙ 0 ∙ share

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EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity Recognition

Human activity recognition using multiple sensors is a challenging but p...
04/29/2020 ∙ by Jun-Ho Choi, et al. ∙ 0 ∙ share

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Brain Signal Classification via Learning Connectivity Structure

Connectivity between different brain regions is one of the most importan...
05/28/2019 ∙ by Soobeom Jang, et al. ∙ 0 ∙ share

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EmbraceNet: A robust deep learning architecture for multimodal classification

Classification using multimodal data arises in many machine learning app...
04/19/2019 ∙ by Jun-Ho Choi, et al. ∙ 0 ∙ share

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Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks

Single-image super-resolution aims to generate a high-resolution version...
04/12/2019 ∙ by Jun-Ho Choi, et al. ∙ 0 ∙ share

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Music Popularity: Metrics, Characteristics, and Audio-Based Prediction

Understanding music popularity is important not only for the artists who...
12/03/2018 ∙ by Junghyuk Lee, et al. ∙ 0 ∙ share

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

Recently, several deep learning-based image super-resolution methods hav...
11/30/2018 ∙ by Jun-Ho Choi, et al. ∙ 0 ∙ share

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RAM: Residual Attention Module for Single Image Super-Resolution

Attention mechanisms are a design trend of deep neural networks that sta...
11/29/2018 ∙ by Jun-Hyuk Kim, et al. ∙ 0 ∙ share

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On Evaluating Perceptual Quality of Online User-Generated Videos

This paper deals with the issue of the perceptual quality evaluation of ...
09/14/2018 ∙ by Soobeom Jang, et al. ∙ 0 ∙ share

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

Recently, it has been shown that in super-resolution, there exists a tra...
09/13/2018 ∙ by Jun-Ho Choi, et al. ∙ 0 ∙ share

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

In this paper, we propose a deep generative adversarial network for supe...
09/13/2018 ∙ by Manri Cheon, et al. ∙ 0 ∙ share

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Perceptual Experience Analysis for Tone-mapped HDR Videos based on EEG and Peripheral Physiological Signals

High dynamic range (HDR) imaging has been attracting much attention as a...
09/13/2018 ∙ by Seong-Eun Moon, et al. ∙ 0 ∙ share

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Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review

The exponential growth of popularity of multimedia has led to needs for ...
09/12/2018 ∙ by Seong-Eun Moon, et al. ∙ 0 ∙ share

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EEG-based video identification using graph signal modeling and graph convolutional neural network

This paper proposes a novel graph signal-based deep learning method for ...
09/12/2018 ∙ by Soobeom Jang, et al. ∙ 0 ∙ share

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Convolutional Neural Network Approach for EEG-based Emotion Recognition using Brain Connectivity and its Spatial Information

Emotion recognition based on electroencephalography (EEG) has received a...
09/12/2018 ∙ by Seong-Eun Moon, et al. ∙ 0 ∙ share

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Evaluation of Preference of Multimedia Content using Deep Neural Networks for Electroencephalography

Evaluation of quality of experience (QoE) based on electroencephalograph...
09/11/2018 ∙ by Seong-Eun Moon, et al. ∙ 0 ∙ share

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Local Critic Training for Model-Parallel Learning of Deep Neural Networks

This paper proposes a novel approach to train deep neural networks in a ...
05/03/2018 ∙ by Hojung Lee, et al. ∙ 0 ∙ share

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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...
09/29/2017 ∙ by Jun-Ho Choi, et al. ∙ 0 ∙ share

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Jong-Seok Lee

Featured Co-authors

Lei Zhang

Liang Lin

Xin Li

Hao Li

Radu Timofte

Cho-Jui Hsieh

Wangmeng Zuo

Wei Wei

Yu Qiao

Long Chen

Jie Tang

Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications

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

Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks

Just One Moment: Inconspicuous One Frame Attack on Deep Action Recognition

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

SRZoo: An integrated repository for super-resolution using deep learning

EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity Recognition

Brain Signal Classification via Learning Connectivity Structure

EmbraceNet: A robust deep learning architecture for multimodal classification

Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks

Music Popularity: Metrics, Characteristics, and Audio-Based Prediction

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

RAM: Residual Attention Module for Single Image Super-Resolution

On Evaluating Perceptual Quality of Online User-Generated Videos

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

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

Perceptual Experience Analysis for Tone-mapped HDR Videos based on EEG and Peripheral Physiological Signals

Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review

EEG-based video identification using graph signal modeling and graph convolutional neural network

Convolutional Neural Network Approach for EEG-based Emotion Recognition using Brain Connectivity and its Spatial Information

Evaluation of Preference of Multimedia Content using Deep Neural Networks for Electroencephalography

Local Critic Training for Model-Parallel Learning of Deep Neural Networks

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