k-space undersampling is a standard technique to accelerate MR image
acq...
Deep learning models have demonstrated superior performance in several
a...
Generative Adversarial Networks (GANs) can accurately model complex
mult...
Natural Language Processing (NLP) helps empower intelligent machines by
...
Deep learning models have demonstrated high-quality performance in areas...
The main goal of network pruning is imposing sparsity on the neural netw...
In this paper, we propose to employ a bank of modality-dedicated
Convolu...
SpeechPy is an open source Python package that contains speech preproces...
Audio-visual recognition (AVR) has been considered as a solution for spe...
In this paper, a novel method using 3D Convolutional Neural Network (3D-...
Nowadays a lot of data is collected in online forums. One of the key tas...