Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

Sign language, as a different form of the communication language, is important to large
groups of people in society. There are different signs in each sign language with variability …

Sign languages are visual languages using manual articulations and non-manual elements
to convey information. For sign language recognition and translation, the majority of existing …

This paper proposes a simple transfer learning baseline for sign language translation.
Existing sign language datasets (eg PHOENIX-2014T, CSL-Daily) contain only about 10K …

Abstract Prior work on Sign Language Translation has shown that having a mid-level sign
gloss representation (effectively recognizing the individual signs) improves the translation …

Developing successful sign language recognition, generation, and translation systems
requires expertise in a wide range of fields, including computer vision, computer graphics …

The predominant means of communication is speech; however, there are persons whose
speaking or hearing abilities are impaired. Communication presents a significant barrier for …

Sign language recognition (SLR) is a weakly supervised task that annotates sign videos as
textual glosses. Recent studies show that insufficient training caused by the lack of large …

Despite existing pioneering works on sign language translation (SLT), there is a non-trivial
obstacle, ie, the limited quantity of parallel sign-text data. To tackle this parallel data …

Human speech is often accompanied by hand and arm gestures. We present a method for
cross-modal translation from" in-the-wild" monologue speech of a single speaker to their …