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Age and Gender Prediction From Face Images Using Attentional Convolutional Network
Automatic prediction of age and gender from face images has drawn a lot ...
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COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network
The novel corona-virus disease (COVID-19) pandemic has caused a major ou...
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Covid-Transformer: Detecting COVID-19 Trending Topics on Twitter Using Universal Sentence Encoder
The novel corona-virus disease (also known as COVID-19) has led to a pan...
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COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net
The novel corona-virus disease (COVID-19) pandemic has caused a major ou...
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Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning
The COVID-19 pandemic is causing a major outbreak in more than 150 count...
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Deep Learning Based Text Classification: A Comprehensive Review
Deep learning based models have surpassed classical machine learning bas...
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Palm-GAN: Generating Realistic Palmprint Images Using Total-Variation Regularized GAN
Generating realistic palmprint (more generally biometric) images has alw...
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Regularized Submodular Maximization at Scale
In this paper, we propose scalable methods for maximizing a regularized ...
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Image Segmentation Using Deep Learning: A Survey
Image segmentation is a key topic in image processing and computer visio...
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Biometric Recognition Using Deep Learning: A Survey
Deep learning-based models have been very successful in achieving state-...
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Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision
We propose a neural network architecture for learning vector representat...
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Masked-RPCA: Sparse and Low-rank Decomposition Under Overlaying Model and Application to Moving Object Detection
Foreground detection in a given video sequence is a pivotal step in many...
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FingerNet: Pushing The Limits of Fingerprint Recognition Using Convolutional Neural Network
Fingerprint recognition has been utilized for cellphone authentication, ...
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DeepIris: Iris Recognition Using A Deep Learning Approach
Iris recognition has been an active research area during last few decade...
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Deep-Sentiment: Sentiment Analysis Using Ensemble of CNN and Bi-LSTM Models
With the popularity of social networks, and e-commerce websites, sentime...
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Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
Facial expression recognition has been an active research area over the ...
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Finger-GAN: Generating Realistic Fingerprint Images Using Connectivity Imposed GAN
Generating realistic biometric images has been an interesting and, at th...
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Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN
Generating iris images which look realistic is both an interesting and c...
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Efficient Super Resolution For Large-Scale Image Using Attentional GAN
Single Image Super Resolution (SISR) is a well-researched problem with b...
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Efficient Super Resolution For Large-Scale Images Using Attentional GAN
Single Image Super Resolution (SISR) is a well-researched problem with b...
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MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features
In this work, we propose bag of adversarial features (BAF) for identifyi...
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Ad-Net: Audio-Visual Convolutional Neural Network for Advertisement Detection In Videos
Personalized advertisement is a crucial task for many of the online busi...
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Image Segmentation Using Subspace Representation and Sparse Decomposition
Image foreground extraction is a classical problem in image processing a...
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A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI
Mild traumatic brain injury (mTBI) is a growing public health problem wi...
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Identifying Mild Traumatic Brain Injury Patients From MR Images Using Bag of Visual Words
Mild traumatic brain injury (mTBI) is a growing public health problem wi...
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A Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling
While diffusion MRI has been extremely promising in the study of MTBI, i...
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Automatic Question-Answering Using A Deep Similarity Neural Network
Automatic question-answering is a classical problem in natural language ...
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Text Extraction From Texture Images Using Masked Signal Decomposition
Text extraction is an important problem in image processing with applica...
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Subspace Learning in The Presence of Sparse Structured Outliers and Noise
Subspace learning is an important problem, which has many applications i...
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An Experimental Study of Deep Convolutional Features For Iris Recognition
Iris is one of the popular biometrics that is widely used for identity a...
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Image Segmentation Using Overlapping Group Sparsity
Sparse decomposition has been widely used for different applications, su...
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Image Decomposition Using a Robust Regression Approach
This paper considers how to separate text and/or graphics from smooth ba...
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Face Recognition Using Scattering Convolutional Network
Face recognition has been an active research area in the past few decade...
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Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition
This paper considers how to separate text and/or graphics from smooth ba...
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Palmprint Recognition Using Deep Scattering Convolutional Network
Palmprint recognition has drawn a lot of attention during the recent yea...
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Screen Content Image Segmentation Using Sparse Decomposition and Total Variation Minimization
Sparse decomposition has been widely used for different applications, su...
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Fingerprint Recognition Using Translation Invariant Scattering Network
Fingerprint recognition has drawn a lot of attention during last decades...
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Iris Recognition Using Scattering Transform and Textural Features
Iris recognition has drawn a lot of attention since the mid-twentieth ce...
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Screen Content Image Segmentation Using Least Absolute Deviation Fitting
We propose an algorithm for separating the foreground (mainly text and l...
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A Robust Regression Approach for Background/Foreground Segmentation
Background/foreground segmentation has a lot of applications in image an...
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On The Power of Joint Wavelet-DCT Features for Multispectral Palmprint Recognition
Biometric-based identification has drawn a lot of attention in the recen...
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Multispectral Palmprint Recognition Using Textural Features
In order to utilize identification to the best extent, we need robust an...
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Highly Accurate Multispectral Palmprint Recognition Using Statistical and Wavelet Features
Palmprint is one of the most useful physiological biometrics that can be...
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Multispectral Palmprint Recognition Using a Hybrid Feature
Personal identification problem has been a major field of research in re...
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A Geometric Approach For Fully Automatic Chromosome Segmentation
A fundamental task in human chromosome analysis is chromosome segmentati...
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