Shervin Minaee

research

∙ 03/04/2022

Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning

Most methods for conditional video synthesis use a single modality as th...

13 Ligong Han, et al. ∙

research

∙ 02/18/2022

Modern Augmented Reality: Applications, Trends, and Future Directions

Augmented reality (AR) is one of the relatively old, yet trending areas ...

104 Shervin Minaee, et al. ∙

research

∙ 03/27/2021

Going Deeper Into Face Detection: A Survey

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

25 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 ...

0 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...

70 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...

1 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...

0 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...

0 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...

42 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...

0 Shervin Minaee, et al. ∙

research

∙ 02/10/2020

Regularized Submodular Maximization at Scale

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

11 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...

163 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-...

28 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...

0 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...

0 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, ...

0 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...

0 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...

0 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 ...

20 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...

0 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...

0 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...

10 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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 ...

0 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...

0 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...

0 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...

0 Shervin Minaee, et al. ∙

research

∙ 11/23/2016

Image Segmentation Using Overlapping Group Sparsity

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

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 Shervin Minaee, et al. ∙

Shervin Minaee

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