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Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications
In this paper, we propose a novel framework to characterize a wide color...
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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...
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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...
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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 ...
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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...
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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...
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SRZoo: An integrated repository for super-resolution using deep learning
Deep learning-based image processing algorithms, including image super-r...
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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...
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Brain Signal Classification via Learning Connectivity Structure
Connectivity between different brain regions is one of the most importan...
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EmbraceNet: A robust deep learning architecture for multimodal classification
Classification using multimodal data arises in many machine learning app...
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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...
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Music Popularity: Metrics, Characteristics, and Audio-Based Prediction
Understanding music popularity is important not only for the artists who...
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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...
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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...
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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 ...
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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...
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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...
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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...
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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 ...
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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 ...
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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...
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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...
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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 ...
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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...
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