Whole-body biometric recognition is an important area of research due to...
Image generation has been a long sought-after but challenging task, and
...
Transformers are quickly becoming one of the most heavily applied deep
l...
Recent research has revealed that reducing the temporal and spatial
redu...
This paper demonstrates a novel approach to improve face-recognition
pos...
Despite the popularity of Model Compression and Multitask Learning, how ...
A Machine-Critical Application is a system that is fundamentally necessa...
In this paper, derivation of different forms of dynamic formulation of
s...
Text clustering is arguably one of the most important topics in modern d...
As one of the most ubiquitously applied unsupervised learning methods,
c...