85 citations · 431 across the 16 of their papers we have counts for
19 papers
Pareto-Optimal Quantized ResNet Is Mostly 4-bit
AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal +4
Quantization has become a popular technique to compress neural networks and reduce compute cost, but most prior work focuses on studying quantization without changing the network s…
Transferable Graph Optimizers for ML Compilers
Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi +9
Most compilers for machine learning (ML) frameworks need to solve many correlated optimization problems to generate efficient machine code. Current ML compilers rely on heuristics…
Age and Gender Prediction From Face Images Using Attentional Convolutional Network
Amirali Abdolrashidi, Mehdi Minaei, Elham Azimi +1
Automatic prediction of age and gender from face images has drawn a lot of attention recently, due it is wide applications in various facial analysis problems. However, due to the…
Palm-GAN: Generating Realistic Palmprint Images Using Total-Variation Regularized GAN
Shervin Minaee, Mehdi Minaei, Amirali Abdolrashidi
Generating realistic palmprint (more generally biometric) images has always been an interesting and, at the same time, challenging problem. Classical statistical models fail to gen…
Biometrics Recognition Using Deep Learning: A Survey
Shervin Minaee, Amirali Abdolrashidi, Hang Su +2
Deep learning-based models have been very successful in achieving state-of-the-art results in many of the computer vision, speech recognition, and natural language processing tasks…
GDP: Generalized Device Placement for Dataflow Graphs
Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi +8
Runtime and scalability of large neural networks can be significantly affected by the placement of operations in their dataflow graphs on suitable devices. With increasingly comple…
FingerNet: Pushing The Limits of Fingerprint Recognition Using Convolutional Neural Network
Shervin Minaee, Elham Azimi, Amirali Abdolrashidi
Fingerprint recognition has been utilized for cellphone authentication, airport security and beyond. Many different features and algorithms have been proposed to improve fingerprin…
DeepIris: Iris Recognition Using A Deep Learning Approach
Shervin Minaee, Amirali Abdolrashidi
Iris recognition has been an active research area during last few decades, because of its wide applications in security, from airports to homeland security border control. Differen…
Deep-Sentiment: Sentiment Analysis Using Ensemble of CNN and Bi-LSTM Models
Shervin Minaee, Elham Azimi, AmirAli Abdolrashidi
With the popularity of social networks, and e-commerce websites, sentiment analysis has become a more active area of research in the past few years. On a high level, sentiment anal…
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
Shervin Minaee, Amirali Abdolrashidi
Facial expression recognition has been an active research area over the past few decades, and it is still challenging due to the high intra-class variation. Traditional approaches…
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…
An Experimental Study of Deep Convolutional Features For Iris Recognition
Shervin Minaee, Amirali Abdolrashidi, Yao Wang
Iris is one of the popular biometrics that is widely used for identity authentication. Different features have been used to perform iris recognition in the past. Most of them are b…
Face Recognition Using Scattering Convolutional Network
Shervin Minaee, Amirali Abdolrashidi, Yao Wang
Face recognition has been an active research area in the past few decades. In general, face recognition can be very challenging due to variations in viewpoint, illumination, facial…
Screen Content Image Segmentation Using Sparse-Smooth Decomposition
Shervin Minaee, Amirali Abdolrashidi, Yao Wang
Sparse decomposition has been extensively used for different applications including signal compression and denoising and document analysis. In this paper, sparse decomposition is u…
Iris Recognition Using Scattering Transform and Textural Features
Shervin Minaee, AmirAli Abdolrashidi, Yao Wang
Iris recognition has drawn a lot of attention since the mid-twentieth century. Among all biometric features, iris is known to possess a rich set of features. Different features hav…
On The Power of Joint Wavelet-DCT Features for Multispectral Palmprint Recognition
Shervin Minaee, AmirAli Abdolrashidi
Biometric-based identification has drawn a lot of attention in the recent years. Among all biometrics, palmprint is known to possess a rich set of features. In this paper we have p…
Multispectral Palmprint Recognition Using Textural Features
Shervin Minaee, AmirAli Abdolrashidi
In order to utilize identification to the best extent, we need robust and fast algorithms and systems to process the data. Having palmprint as a reliable and unique characteristic…
Highly Accurate Multispectral Palmprint Recognition Using Statistical and Wavelet Features
Shervin Minaee, AmirAli Abdolrashidi
Palmprint is one of the most useful physiological biometrics that can be used as a powerful means in personal recognition systems. The major features of the palmprints are palm lin…