Hand gesture serves as a critical role in sign language. Current deep-learning-based sign
language recognition (SLR) methods may suffer insufficient interpretability and overfitting …

Hand gestures play a dominant role in the expression of sign language. Current deep-
learning based video sign language recognition (SLR) methods usually follow a data-driven …

Hand gesture serves as a crucial role during the expression of sign language. Current deep
learning based methods for sign language understanding (SLU) are prone to over-fitting due …

Sign language plays a crucial role as a distinct and vital mode of communication for diverse
groups of people in society. Each sign language encompasses a wide array of signs, each …

Hand and face play an important role in expressing sign language. Their features are
usually especially leveraged to improve system performance. However, to effectively extract …

AI technologies for Natural Languages have made tremendous progress recently. However,
commensurate progress has not been made on Sign Languages, in particular, in …

Abstract The performances of Sign Language Recognition (SLR) systems have improved
considerably in recent years. However, several open challenges still need to be solved to …

Abstract Gestures in American Sign Language (ASL) are characterized by fast, highly
articulate motion of upper body, including arm movements with complex hand shapes and …

Abstract Vision-based Continuous Sign Language Recognition (CSLR) aims to recognize
unsegmented signs from image streams. Overfitting is one of the most critical problems in …

This work dedicates to continuous sign language recognition (CSLR), which is a weakly
supervised task dealing with the recognition of continuous signs from videos, without any …