This paper presents an automatic diagnosis system for the tumor grade classification
through magnetic resonance imaging (MRI). The diagnosis system involves a region of …

In this paper, a new approach is proposed for object recognition in remote-sensing images.
In the proposed approach, the matching process between the object in the template and test …

Locating manipulation maps, ie, pixel-level annotation of forgery cues, is crucial for
providing interpretable detection results in face forgery detection. Related learning objects …

This paper focuses on the instance segmentation task. The purpose of instance
segmentation is to jointly detect, classify and segment individual instances in images, so it is …

Automatic recognition of the eye states is essential for diverse computer vision applications
related to drowsiness detection, facial emotion recognition (FER), human–computer …

Face age progression, goals to alter the individual's face from a given face image to predict
the future appearance of that image. In today's world that demands more security and a …

There has been significant research in the provision of trustworthy initial login user
authentication, however, there is still need for continuous authentication during a user …

In recent years, with the rapid development of multimedia technologies, color face
recognition has attracted more attention in various areas related to the computer vision …

Object detection algorithms based on deep learning have made continuous progress in
recent years. On the premise of ensuring the accuracy of object detection, reducing model …

Since Electroencephalogram (EEG) is resistant to camouflage and contains abundant
neurophysiological information, it shows significant superiorities in objective emotion …