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20142021
most citedDeep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network

85 citations · 431 across the 16 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CV2019★ 7 cited

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…

cs.LG2019★ 25 cited

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…

cs.CV2019★ 38 cited

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…

cs.CV2019★ 43 cited

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…

cs.CL2019★ 36 cited

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…

cs.CV2019★ 85 cited

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…