Face super-resolution (FSR), also known as face hallucination, which is aimed at enhancing
the resolution of low-resolution (LR) face images to generate high-resolution face images, is …

In recent years, the rapid growth of online learning has highlighted the need for effective
methods to monitor and improve student experiences. Emotions play a crucial role in …

Face super-resolution (FSR) aims to reconstruct high-resolution (HR) face images from the
low-resolution (LR) ones. With the advent of deep learning, the FSR technique has achieved …

Multimodal sentiment analysis is an increasingly popular research area, which extends the
conventional language-based definition of sentiment analysis to a multimodal setup where …

Deepfakes is a branch of malicious techniques that transplant a target face to the original
one in videos, resulting in serious problems such as infringement of copyright, confusion of …

Over the past few years, there has been an increased interest in automatic facial behavior
analysis and understanding. We present OpenFace-an open source tool intended for …

Recent works based on deep learning and facial priors have succeeded in super-resolving
severely degraded facial images. However, the prior knowledge is not fully exploited in …

With the increasing popularity of video sharing websites such as YouTube and Facebook,
multimodal sentiment analysis has received increasing attention from the scientific …

Sarcasm detection is a key task for many natural language processing tasks. In sentiment
analysis, for example, sarcasm can flip the polarity of an" apparently positive" sentence and …

Heart rate (HR) estimation is an essential physiological parameter in the field of biomedical
imaging. Remote Photoplethysmography (r-PPG) is a pathbreaking development in this field …