Shervin Minaee

research

∙ 03/27/2021

Going Deeper Into Face Detection: A Survey

Face detection is a crucial first step in many facial recognition and fa...

Shervin Minaee, et al. ∙

research

∙ 10/08/2020

Age and Gender Prediction From Face Images Using Attentional Convolutional Network

Automatic prediction of age and gender from face images has drawn a lot ...

Amirali Abdolrashidi, et al. ∙

research

∙ 09/10/2020

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...

Shakib Yazdani, et al. ∙

research

∙ 09/08/2020

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...

Meysam Asgari-Chenaghlu, et al. ∙

research

∙ 07/24/2020

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...

Narges Saeedizadeh, et al. ∙

research

∙ 04/20/2020

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...

Shervin Minaee, et al. ∙

research

∙ 04/06/2020

Deep Learning Based Text Classification: A Comprehensive Review

Deep learning based models have surpassed classical machine learning bas...

Shervin Minaee, et al. ∙

research

∙ 03/21/2020

Palm-GAN: Generating Realistic Palmprint Images Using Total-Variation Regularized GAN

Generating realistic palmprint (more generally biometric) images has alw...

Shervin Minaee, et al. ∙

research

∙ 02/10/2020

Regularized Submodular Maximization at Scale

In this paper, we propose scalable methods for maximizing a regularized ...

Ehsan Kazemi, et al. ∙

research

∙ 01/15/2020

Image Segmentation Using Deep Learning: A Survey

Image segmentation is a key topic in image processing and computer visio...

Shervin Minaee, et al. ∙

research

∙ 11/30/2019

Biometric Recognition Using Deep Learning: A Survey

Deep learning-based models have been very successful in achieving state-...

Shervin Minaee, et al. ∙

research

∙ 09/30/2019

Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision

We propose a neural network architecture for learning vector representat...

Ali Sadeghian, et al. ∙

research

∙ 09/17/2019

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...

Amirhossein Khalilian-Gourtani, et al. ∙

research

∙ 07/28/2019

FingerNet: Pushing The Limits of Fingerprint Recognition Using Convolutional Neural Network

Fingerprint recognition has been utilized for cellphone authentication, ...

Shervin Minaee, et al. ∙

research

∙ 07/22/2019

DeepIris: Iris Recognition Using A Deep Learning Approach

Iris recognition has been an active research area during last few decade...

Shervin Minaee, et al. ∙

research

∙ 04/08/2019

Deep-Sentiment: Sentiment Analysis Using Ensemble of CNN and Bi-LSTM Models

With the popularity of social networks, and e-commerce websites, sentime...

Shervin Minaee, et al. ∙

research

∙ 02/04/2019

Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network

Facial expression recognition has been an active research area over the ...

Shervin Minaee, et al. ∙

research

∙ 12/25/2018

Finger-GAN: Generating Realistic Fingerprint Images Using Connectivity Imposed GAN

Generating realistic biometric images has been an interesting and, at th...

Shervin Minaee, et al. ∙

research

∙ 12/12/2018

Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN

Generating iris images which look realistic is both an interesting and c...

Shervin Minaee, et al. ∙

research

∙ 12/12/2018

Efficient Super Resolution For Large-Scale Image Using Attentional GAN

Single Image Super Resolution (SISR) is a well-researched problem with b...

Harsh Nilesh Pathak, et al. ∙

research

∙ 12/12/2018

Efficient Super Resolution For Large-Scale Images Using Attentional GAN

Single Image Super Resolution (SISR) is a well-researched problem with b...

Harsh Nilesh Pathak, et al. ∙

research

∙ 06/27/2018

MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features

In this work, we propose bag of adversarial features (BAF) for identifyi...

Shervin Minaee, et al. ∙

research

∙ 06/22/2018

Ad-Net: Audio-Visual Convolutional Neural Network for Advertisement Detection In Videos

Personalized advertisement is a crucial task for many of the online busi...

Shervin Minaee, et al. ∙

research

∙ 04/06/2018

Image Segmentation Using Subspace Representation and Sparse Decomposition

Image foreground extraction is a classical problem in image processing a...

Shervin Minaee, et al. ∙

research

∙ 02/08/2018

A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI

Mild traumatic brain injury (mTBI) is a growing public health problem wi...

Shervin Minaee, et al. ∙

research

∙ 10/18/2017

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...

Shervin Minaee, et al. ∙

research

∙ 08/27/2017

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...

Shervin Minaee, et al. ∙

research

∙ 08/05/2017

Automatic Question-Answering Using A Deep Similarity Neural Network

Automatic question-answering is a classical problem in natural language ...

Shervin Minaee, et al. ∙

research

∙ 06/11/2017

Text Extraction From Texture Images Using Masked Signal Decomposition

Text extraction is an important problem in image processing with applica...

Shervin Minaee, et al. ∙

research

∙ 03/14/2017

Subspace Learning in The Presence of Sparse Structured Outliers and Noise

Subspace learning is an important problem, which has many applications i...

Shervin Minaee, et al. ∙

research

∙ 02/04/2017

An Experimental Study of Deep Convolutional Features For Iris Recognition

Iris is one of the popular biometrics that is widely used for identity a...

Shervin Minaee, et al. ∙

research

∙ 11/23/2016

Image Segmentation Using Overlapping Group Sparsity

Sparse decomposition has been widely used for different applications, su...

Shervin Minaee, et al. ∙

research

∙ 09/13/2016

Image Decomposition Using a Robust Regression Approach

This paper considers how to separate text and/or graphics from smooth ba...

Shervin Minaee, et al. ∙

research

∙ 07/30/2016

Face Recognition Using Scattering Convolutional Network

Face recognition has been an active research area in the past few decade...

Shervin Minaee, et al. ∙

research

∙ 07/08/2016

Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition

This paper considers how to separate text and/or graphics from smooth ba...

Shervin Minaee, et al. ∙

research

∙ 03/30/2016

Palmprint Recognition Using Deep Scattering Convolutional Network

Palmprint recognition has drawn a lot of attention during the recent yea...

Shervin Minaee, et al. ∙

research

∙ 02/07/2016

Screen Content Image Segmentation Using Sparse Decomposition and Total Variation Minimization

Sparse decomposition has been widely used for different applications, su...

Shervin Minaee, et al. ∙

research

∙ 09/11/2015

Fingerprint Recognition Using Translation Invariant Scattering Network

Fingerprint recognition has drawn a lot of attention during last decades...

Shervin Minaee, et al. ∙

research

∙ 07/08/2015

Iris Recognition Using Scattering Transform and Textural Features

Iris recognition has drawn a lot of attention since the mid-twentieth ce...

Shervin Minaee, et al. ∙

research

∙ 01/15/2015

Screen Content Image Segmentation Using Least Absolute Deviation Fitting

We propose an algorithm for separating the foreground (mainly text and l...

Shervin Minaee, et al. ∙

research

∙ 12/16/2014

A Robust Regression Approach for Background/Foreground Segmentation

Background/foreground segmentation has a lot of applications in image an...

Shervin Minaee, et al. ∙

research

∙ 09/27/2014

On The Power of Joint Wavelet-DCT Features for Multispectral Palmprint Recognition

Biometric-based identification has drawn a lot of attention in the recen...

Shervin Minaee, et al. ∙

research

∙ 08/28/2014

Multispectral Palmprint Recognition Using Textural Features

In order to utilize identification to the best extent, we need robust an...

Shervin Minaee, et al. ∙

research

∙ 08/16/2014

Highly Accurate Multispectral Palmprint Recognition Using Statistical and Wavelet Features

Palmprint is one of the most useful physiological biometrics that can be...

Shervin Minaee, et al. ∙

research

∙ 12/27/2011

Multispectral Palmprint Recognition Using a Hybrid Feature

Personal identification problem has been a major field of research in re...

Sina Akbari Mistani, et al. ∙

research

∙ 12/18/2011

A Geometric Approach For Fully Automatic Chromosome Segmentation

A fundamental task in human chromosome analysis is chromosome segmentati...

Shervin Minaee, et al. ∙

Shervin Minaee

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