Deep learning, a branch of machine learning, is a frontier for artificial intelligence, aiming to
be closer to its primary goal—artificial intelligence. This paper mainly adopts the summary …

With the transition of facial expression recognition (FER) from laboratory-controlled to
challenging in-the-wild conditions and the recent success of deep learning techniques in …

The recent wave of large-scale text-to-image diffusion models has dramatically increased
our text-based image generation abilities. These models can generate realistic images for a …

Facial expression recognition in the wild is challenging due to various unconstrained
conditions. Although existing facial expression classifiers have been almost perfect on …

Training deep networks with limited labeled data while achieving a strong generalization
ability is key in the quest to reduce human annotation efforts. This is the goal of semi …

Deep learning (DL) has solved a problem that a few years ago was thought to be intractable—
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …

Lung cancer has one of the highest mortalities of all cancers. According to the National Lung
Screening Trial, patients who underwent low-dose computed tomography (CT) scanning …

In light of the recent success of artificial intelligence (AI) in computer vision applications,
many researchers and physicians expect that AI would be able to assist in many tasks in …

This paper investigates a novel problem of generating images from visual attributes. We
model the image as a composite of foreground and background and develop a layered …

Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …