Convolutional neural networks excel in histopathological image
classific...
It has long been an ill-posed problem to predict absolute depth maps fro...
The transformer model is known to be computationally demanding, and
proh...
In recent years Generative Machine Learning systems have advanced
signif...
Ultrasound examination is widely used in the clinical diagnosis of thyro...
This paper pays close attention to the cross-modality visible-infrared p...
Cross-resolution face recognition (CRFR), which is important in intellig...
Rule-based dialogue management is still the most popular solution for
in...
Sequences play an important role in many engineering applications and
sy...
Deep part-based methods in recent literature have revealed the great
pot...
We propose a robust elastic net (REN) model for high-dimensional sparse
...
Practical face recognition has been studied in the past decades, but sti...
Occlusion in face recognition is a common yet challenging problem. While...