In data-rich domains such as vision, language, and speech, deep learning prevails to deliver
high-performance task-specific models and can even learn general task-agnostic …

Visual Speech Recognition (VSR) aims to infer speech into text depending on lip
movements alone. As it focuses on visual information to model the speech, its performance …

Public data has been frequently used to improve the privacy-accuracy trade-off of
differentially private machine learning, but prior work largely assumes that this data come …

Vision foundation models exhibit impressive power, benefiting from the extremely large
model capacity and broad training data. However, in practice, downstream scenarios may …

These days, although deep neural networks (DNNs) have achieved a noticeable progress in
a wide range of research area, it lacks the adaptability to be employed in the real-world …