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04/17/2023
ViPLO: Vision Transformer based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection
Human-Object Interaction (HOI) detection, which localizes and infers rel...
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10/20/2022
Similarity of Neural Architectures Based on Input Gradient Transferability
In this paper, we aim to design a quantitative similarity function betwe...
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10/11/2022
Curved Representation Space of Vision Transformers
Neural networks with self-attention (a.k.a. Transformers) like ViT and S...
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08/20/2022
Modeling, Quantifying, and Predicting Subjectivity of Image Aesthetics
Assessing image aesthetics is a challenging computer vision task. One re...
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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...
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08/19/2022
Demystifying Randomly Initialized Networks for Evaluating Generative Models
Evaluation of generative models is mostly based on the comparison betwee...
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12/15/2021
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks
Recently, video-based action recognition methods using convolutional neu...
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12/09/2021
Amicable Aid: Turning Adversarial Attack to Benefit Classification
While adversarial attacks on deep image classification models pose serio...
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06/18/2021
Light Lies: Optical Adversarial Attack
A significant amount of work has been done on adversarial attacks that i...
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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...
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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...
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04/01/2021
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits
This paper proposes a novel knowledge distillation-based learning method...
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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...
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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...
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01/18/2021
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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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 ...
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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...
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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...
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06/02/2020
SRZoo: An integrated repository for super-resolution using deep learning
Deep learning-based image processing algorithms, including image super-r...
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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...
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05/28/2019
Brain Signal Classification via Learning Connectivity Structure
Connectivity between different brain regions is one of the most importan...
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04/19/2019
EmbraceNet: A robust deep learning architecture for multimodal classification
Classification using multimodal data arises in many machine learning app...
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04/12/2019
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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12/03/2018
Music Popularity: Metrics, Characteristics, and Audio-Based Prediction
Understanding music popularity is important not only for the artists who...
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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...
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11/29/2018
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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09/14/2018
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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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...
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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...
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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...
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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 ...
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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 ...
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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...
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09/11/2018
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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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 ...
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09/29/2017