34 citations · 106 across the 30 of their papers we have counts for
17 papers · 1 filter
EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization
Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
In this work, we introduce EQ-Net: the first holistic framework that solves both the tasks of log-likelihood ratio (LLR) estimation and quantization using a data-driven method. We…
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays
Yan Han, Chongyan Chen, Liyan Tang +7
Chest X-ray becomes one of the most common medical diagnoses due to its noninvasiveness. The number of chest X-ray images has skyrocketed, but reading chest X-rays still have been…
Automotive Radar Data Acquisition using Object Detection
Madhumitha Sakthi, Ahmed Tewfik
The growing urban complexity demands an efficient algorithm to acquire and process various sensor information from autonomous vehicles. In this paper, we introduce an algorithm to…
Speech Recognition using EEG signals recorded using dry electrodes
Gautam Krishna, Co Tran, Mason Carnahan +2
In this paper, we demonstrate speech recognition using electroencephalography (EEG) signals obtained using dry electrodes on a limited English vocabulary consisting of three vowels…
Robust Face Verification via Disentangled Representations
Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
We introduce a robust algorithm for face verification, i.e., deciding whether twoimages are of the same person or not. Our approach is a novel take on the idea ofusing deep generat…
Constrained Variational Autoencoder for improving EEG based Speech Recognition Systems
Gautam Krishna, Co Tran, Mason Carnahan +1
In this paper we introduce a recurrent neural network (RNN) based variational autoencoder (VAE) model with a new constrained loss function that can generate more meaningful electro…