The automatic detection of eye positions, their temporal consistency, and their mapping into
a line of sight in the real world (to find where a person is looking at) is reported in the …

Historical temperature measurements are the basis of global climate datasets like
HadCRUT4. This dataset contains many missing values, particularly for periods before the …

Training and testing process for the classification of biomedical datasets in machine learning
is very important. The researcher should choose carefully the methods that should be used …

Image steganography is the operation of hiding a message into a cover image. the message
can be text, codes, or image. Hiding an image into another is the proposed approach in this …

Ethics Guidelines for Trustworthy AI advocate for AI technology that is, among other things,
more inclusive. Explainable AI (XAI) aims at making state of the art opaque models more …

The choroid provides oxygen and nourishment to the outer retina thus is related to the
pathology of various ocular diseases. Optical coherence tomography (OCT) is …

As a new color image representation tool, quaternion has achieved excellent results in the
color image processing, because it treats the color image as a whole rather than as a …

Inpainting has been continuously studied in the field of computer vision. As artificial
intelligence technology developed, deep learning technology was introduced in inpainting …

In this work, a new multitask convolutional neural network (CNN) is proposed aiming for the
recognition of face under pose variations. Furthermore, the combination of pose estimation …

Image inpainting is a process of reconstructing the missing pixels by inferencing information
from the known part of an image. This paper aims to increase the precision of depth …