Visual perception is one of the basic tools for exploring the world. However, in
schizophrenia, this modality is disrupted. So far, there has been no clear answer as to …

Recent studies show that transformer has strong capability of building long-range
dependencies, yet is incompetent in capturing high frequencies that predominantly convey …

Abstract Convolutional Neural Networks (CNNs) have advanced existing medical systems
for automatic disease diagnosis. However, there are still concerns about the reliability of …

Due to the complex attention mechanisms and model design, most existing vision
Transformers (ViTs) can not perform as efficiently as convolutional neural networks (CNNs) …

Over 50 years of research have established that cognitive processes influence pupil size.
This has led to the widespread use of pupil size as a peripheral measure of cortical …

The “mental number line”(MNL) is a form of spatial numeric representation that associates
small and large numbers with the left and right spaces, respectively. This spatio-numeric …

Learning discriminative and rich features is an important research task for person re-
identification. Previous studies have attempted to capture global and local features at the …

Several transformer-based methods for change detection (CD) in remote sensing images
have been proposed, with Siamese-based methods showing promising results due to their …

It can be challenging to identify brain MRI anomalies using supervised deep-learning
techniques due to anatomical heterogeneity and the requirement for pixel-level labeling …

How primates perceive objects along with their detailed features remains a mystery. This
ability to make fine visual discriminations depends upon a high-acuity analysis of spatial …