390 citations · 1.2k across the 44 of their papers we have counts for
6 papers · 1 filter
Finger-GAN: Generating Realistic Fingerprint Images Using Connectivity Imposed GAN
Shervin Minaee, Amirali Abdolrashidi
Generating realistic biometric images has been an interesting and, at the same time, challenging problem. Classical statistical models fail to generate realistic-looking fingerprin…
Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN
Shervin Minaee, Amirali Abdolrashidi
Generating iris images which look realistic is both an interesting and challenging problem. Most of the classical statistical models are not powerful enough to capture the complica…
MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features
Shervin Minaee, Yao Wang, Alp Aygar +6
In this work, we propose bag of adversarial features (BAF) for identifying mild traumatic brain injury (MTBI) patients from their diffusion magnetic resonance images (MRI) (obtaine…
Ad-Net: Audio-Visual Convolutional Neural Network for Advertisement Detection In Videos
Shervin Minaee, Imed Bouazizi, Prakash Kolan +1
Personalized advertisement is a crucial task for many of the online businesses and video broadcasters. Many of today's broadcasters use the same commercial for all customers, but a…
Image Segmentation Using Subspace Representation and Sparse Decomposition
Shervin Minaee
Image foreground extraction is a classical problem in image processing and vision, with a large range of applications. In this dissertation, we focus on the extraction of text and…
A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI
Shervin Minaee, Yao Wang, Anna Choromanska +6
Mild traumatic brain injury is a growing public health problem with an estimated incidence of over 1.7 million people annually in US. Diagnosis is based on clinical history and sym…