b'Jong-Seok Lee'

research

∙ 08/20/2022

Modeling, Quantifying, and Predicting Subjectivity of Image Aesthetics

Assessing image aesthetics is a challenging computer vision task. One re...

Hyeongnam Jang, et al. ∙

research

∙ 08/20/2022

Analyzing Adversarial Robustness of Vision Transformers against Spatial and Spectral Attacks

Vision Transformers have emerged as a powerful architecture that can out...

Gihyun Kim, et al. ∙

research

∙ 08/19/2022

Demystifying Randomly Initialized Networks for Evaluating Generative Models

Evaluation of generative models is mostly based on the comparison betwee...

Junghyuk Lee, et al. ∙

research

∙ 12/15/2021

Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks

Recently, video-based action recognition methods using convolutional neu...

Jaehui Hwang, et al. ∙

research

∙ 12/09/2021

Amicable Aid: Turning Adversarial Attack to Benefit Classification

While adversarial attacks on deep image classification models pose serio...

Juyeop Kim, et al. ∙

research

∙ 06/18/2021

Light Lies: Optical Adversarial Attack

A significant amount of work has been done on adversarial attacks that i...

Kyu-Lim Kim, et al. ∙

research

∙ 04/30/2021

Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks

Recently, the vulnerability of deep image classification models to adver...

Jun-Ho Choi, et al. ∙

research

∙ 04/30/2021

TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for Accurate GAN Evaluation

Evaluating image generation models such as generative adversarial networ...

Junghyuk Lee, et al. ∙

research

∙ 04/01/2021

Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits

This paper proposes a novel knowledge distillation-based learning method...

Hojung Lee, et al. ∙

research

∙ 01/19/2021

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

In this paper, we propose a novel framework to characterize a wide color...

Junghyuk Lee, et al. ∙

research

∙ 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...

Manri Cheon, et al. ∙

research

∙ 01/18/2021

Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks

Convolutional neural networks (CNNs) are widely used to recognize the us...

Seong-Eun Moon, et al. ∙

research

∙ 11/30/2020

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

The video-based action recognition task has been extensively studied in ...

Jaehui Hwang, et al. ∙

research

∙ 09/25/2020

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

This paper introduces the real image Super-Resolution (SR) challenge tha...

Pengxu Wei, et al. ∙

research

∙ 09/15/2020

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

This paper reviews the AIM 2020 challenge on efficient single image supe...

Kai Zhang, et al. ∙

research

∙ 06/02/2020

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

Deep learning-based image processing algorithms, including image super-r...

Jun-Ho Choi, et al. ∙

research

∙ 04/29/2020

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

Human activity recognition using multiple sensors is a challenging but p...

Jun-Ho Choi, et al. ∙

research

∙ 05/28/2019

Brain Signal Classification via Learning Connectivity Structure

Connectivity between different brain regions is one of the most importan...

Soobeom Jang, et al. ∙

research

∙ 04/19/2019

EmbraceNet: A robust deep learning architecture for multimodal classification

Classification using multimodal data arises in many machine learning app...

Jun-Ho Choi, et al. ∙

research

∙ 04/12/2019

Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks

Single-image super-resolution aims to generate a high-resolution version...

Jun-Ho Choi, et al. ∙

research

∙ 12/03/2018

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

Understanding music popularity is important not only for the artists who...

Junghyuk Lee, et al. ∙

research

∙ 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...

Jun-Ho Choi, et al. ∙

research

∙ 11/29/2018

RAM: Residual Attention Module for Single Image Super-Resolution

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

Jun-Hyuk Kim, et al. ∙

research

∙ 09/14/2018

On Evaluating Perceptual Quality of Online User-Generated Videos

This paper deals with the issue of the perceptual quality evaluation of ...

Soobeom Jang, et al. ∙

research

∙ 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...

Jun-Ho Choi, et al. ∙

research

∙ 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...

Manri Cheon, et al. ∙

research

∙ 09/13/2018

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...

Seong-Eun Moon, et al. ∙

research

∙ 09/12/2018

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

The exponential growth of popularity of multimedia has led to needs for ...

Seong-Eun Moon, et al. ∙

research

∙ 09/12/2018

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 ...

Soobeom Jang, et al. ∙

research

∙ 09/12/2018

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...

Seong-Eun Moon, et al. ∙

research

∙ 09/11/2018

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

Evaluation of quality of experience (QoE) based on electroencephalograph...

Seong-Eun Moon, et al. ∙

research

∙ 05/03/2018

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

This paper proposes a novel approach to train deep neural networks in a ...

Hojung Lee, et al. ∙

research

∙ 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...

Jun-Ho Choi, et al. ∙

Jong-Seok Lee

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