We address the problem of generating diverse 3D human motions from textual descriptions.
This challenging task requires joint modeling of both modalities: understanding and …

Sign Language is the dominant form of communication language used in the Deaf and
hearing-impaired community. To make easy and mutual communication between the …

Sign languages are visual languages, with vocabularies as rich as their spoken language
counterparts. However, current deep-learning based Sign Language Production (SLP) …

The advances in automatic sign language translation (SLT) to spoken languages have been
mostly benchmarked with datasets of limited size and restricted domains. Our work …

Sign Languages (SL) serve as the primary mode of communication for the Deaf and Hard of
Hearing communities. Deep learning methods for SL recognition and translation have …

Sign Language Production (SLP) aims to generate the visual appearance of sign language
according to the spoken language, in which a key procedure is to translate sign Gloss to …

Translating spoken languages into Sign languages is necessary for open communication
between the hearing and hearing-impaired communities. To achieve this goal, we propose …

Research on sign language technology (SLT) has steadily increased in recent decades, and
yet, common mistakes and pitfalls have significantly hindered progress in the field. The …

Neural Sign Language Production (SLP) aims to automatically translate from spoken
language sentences to sign language videos. Historically the SLP task has been broken into …

Abstract The field of Sign Language Production (SLP) lacked a large-scale, pre-trained
model based on deep learning for continuous American Sign Language (ASL) production in …