While Automatic Speech Recognition (ASR) systems are widely used in many...
Large machine learning models trained on diverse data have recently seen...
Dual encoding models that encode a pair of inputs are widely used for
re...
Deep learning has yielded extraordinary results in vision and natural
la...
Image composition plays an important role in the quality of a photo. How...
Collecting labeled data for the task of semantic segmentation is expensi...
Mutual gaze detection, i.e., predicting whether or not two people are lo...
Recently, a series of works in computer vision have shown promising resu...
Standard Knowledge Distillation (KD) approaches distill the knowledge of...
Most of the existing work on automatic facial expression analysis focuse...
Recent advances in video super-resolution have shown that convolutional
...
Deep Convolutional Neural Networks (DCNN) have been proven to be effecti...
We propose a novel deep network architecture for image
denoising based ...
Over the past few years, symmetric positive definite (SPD) matrices have...
In the recent past, automatic selection or combination of kernels (or
fe...