Shervin Minaee

verfied profile

∙ 0 followers
Sharif Accelerator ∙ NYU college ∙ Expedia

Machine Learning Researcher at Expedia Group, and NYU.

Received my PhD in ECE and CS from New York University, with a focus on Deep Learning applications in computer vision and NLP.

Image Segmentation Using Deep Learning: A Survey

Image segmentation is a key topic in image processing and computer visio...
01/15/2020 ∙ by Shervin Minaee, et al. ∙ 163 ∙ share

read it
Biometric Recognition Using Deep Learning: A Survey

Deep learning-based models have been very successful in achieving state-...
11/30/2019 ∙ by Shervin Minaee, et al. ∙ 27 ∙ share

read it
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network

Facial expression recognition has been an active research area over the ...
02/04/2019 ∙ by Shervin Minaee, et al. ∙ 20 ∙ share

read it
Regularized Submodular Maximization at Scale

In this paper, we propose scalable methods for maximizing a regularized ...
02/10/2020 ∙ by Ehsan Kazemi, et al. ∙ 11 ∙ share

read it
Efficient Super Resolution For Large-Scale Image Using Attentional GAN

Single Image Super Resolution (SISR) is a well-researched problem with b...
12/12/2018 ∙ by Harsh Nilesh Pathak, et al. ∙ 10 ∙ share

read it
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...
10/18/2017 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
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...
08/27/2017 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Text Extraction From Texture Images Using Masked Signal Decomposition

Text extraction is an important problem in image processing with applica...
06/11/2017 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Subspace Learning in The Presence of Sparse Structured Outliers and Noise

Subspace learning is an important problem, which has many applications i...
03/14/2017 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
An Experimental Study of Deep Convolutional Features For Iris Recognition

Iris is one of the popular biometrics that is widely used for identity a...
02/04/2017 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Image Segmentation Using Overlapping Group Sparsity

Sparse decomposition has been widely used for different applications, su...
11/23/2016 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Image Decomposition Using a Robust Regression Approach

This paper considers how to separate text and/or graphics from smooth ba...
09/13/2016 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Face Recognition Using Scattering Convolutional Network

Face recognition has been an active research area in the past few decade...
07/30/2016 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition

This paper considers how to separate text and/or graphics from smooth ba...
07/08/2016 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Palmprint Recognition Using Deep Scattering Convolutional Network

Palmprint recognition has drawn a lot of attention during the recent yea...
03/30/2016 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Screen Content Image Segmentation Using Sparse Decomposition and Total Variation Minimization

Sparse decomposition has been widely used for different applications, su...
02/07/2016 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Fingerprint Recognition Using Translation Invariant Scattering Network

Fingerprint recognition has drawn a lot of attention during last decades...
09/11/2015 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Iris Recognition Using Scattering Transform and Textural Features

Iris recognition has drawn a lot of attention since the mid-twentieth ce...
07/08/2015 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Screen Content Image Segmentation Using Least Absolute Deviation Fitting

We propose an algorithm for separating the foreground (mainly text and l...
01/15/2015 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
A Robust Regression Approach for Background/Foreground Segmentation

Background/foreground segmentation has a lot of applications in image an...
12/16/2014 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

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

Biometric-based identification has drawn a lot of attention in the recen...
09/27/2014 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Multispectral Palmprint Recognition Using Textural Features

In order to utilize identification to the best extent, we need robust an...
08/28/2014 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Highly Accurate Multispectral Palmprint Recognition Using Statistical and Wavelet Features

Palmprint is one of the most useful physiological biometrics that can be...
08/16/2014 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Multispectral Palmprint Recognition Using a Hybrid Feature

Personal identification problem has been a major field of research in re...
12/27/2011 ∙ by Sina Akbari Mistani, et al. ∙ 0 ∙ share

read it
A Geometric Approach For Fully Automatic Chromosome Segmentation

A fundamental task in human chromosome analysis is chromosome segmentati...
12/18/2011 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Automatic Question-Answering Using A Deep Similarity Neural Network

Automatic question-answering is a classical problem in natural language ...
08/05/2017 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI

Mild traumatic brain injury (mTBI) is a growing public health problem wi...
02/08/2018 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Image Segmentation Using Subspace Representation and Sparse Decomposition

Image foreground extraction is a classical problem in image processing a...
04/06/2018 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

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

Personalized advertisement is a crucial task for many of the online busi...
06/22/2018 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

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

In this work, we propose bag of adversarial features (BAF) for identifyi...
06/27/2018 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

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

Generating iris images which look realistic is both an interesting and c...
12/12/2018 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
Efficient Super Resolution For Large-Scale Images Using Attentional GAN

Single Image Super Resolution (SISR) is a well-researched problem with b...
12/12/2018 ∙ by Harsh Nilesh Pathak, et al. ∙ 0 ∙ share

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

Generating realistic biometric images has been an interesting and, at th...
12/25/2018 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

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

With the popularity of social networks, and e-commerce websites, sentime...
04/08/2019 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
DeepIris: Iris Recognition Using A Deep Learning Approach

Iris recognition has been an active research area during last few decade...
07/22/2019 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

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

Fingerprint recognition has been utilized for cellphone authentication, ...
07/28/2019 ∙ by Shervin Minaee, et al. ∙ 0 ∙ share

read it
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...
09/17/2019 ∙ by Amirhossein Khalilian-Gourtani, et al. ∙ 0 ∙ share

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

We propose a neural network architecture for learning vector representat...
09/30/2019 ∙ by Ali Sadeghian, et al. ∙ 0 ∙ share

read it

Shervin Minaee

Featured Co-authors