Existing image complexity metrics cannot distinguish meaningful content ...
Recent years have seen growing interest in learning disentangled
represe...
Online deep clustering refers to the joint use of a feature extraction
n...
There has been much recent research on human activity recognition
(HA...
This paper presents FASTFOOD, a rule-based Natural Language Generation
P...
Deep neural networks (DNNs) offer a means of addressing the challenging ...
Nearly all existing techniques for automated video annotation (or captio...