Visual speech recognition (VSR) aims to recognize the content of speech based on lip
movements, without relying on the audio stream. Advances in deep learning and the …

This paper gives an overview of the cutting-edge approaches that perform facial cue
analysis in the healthcare area. The document is not limited to global face analysis but it …

Lip reading has gained popularity due to the proliferation of emerging real-world
applications. This article provides a comprehensive review of benchmark datasets available …

Large-scale face recognition datasets are collected by crawling the Internet and without
individuals' consent, raising legal, ethical, and privacy concerns. With the recent advances in …

In this work, we present the Densely Connected Temporal Convolutional Network (DC-TCN)
for lip-reading of isolated words. Although Temporal Convolutional Networks (TCN) have …

Detecting digital face manipulation has attracted extensive attention due to fake media's
potential risks to the public. However, recent advances have been able to reduce the forgery …

Despite the success of hand-crafted features in computer visioning for many years,
nowadays, this has been replaced by end-to-end learnable features that are extracted from …

Speech perception is recognized as a multimodal task, that is, it solicits more than one
meaning. Lip reading, which superimposes visual signals to auditory signals, is useful and …

Lip reading (LR) is the task of predicting the speech utilizing only the visual information of
the speaker. In this work, for the first time, the benefits of alternating between spatiotemporal …

3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D
priori. However, previous reconstructed 3D faces suffer from degraded visual verisimilitude …