37 citations · 58 across the 5 of their papers we have counts for
8 papers · 1 filter
Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
Sign languages are visual languages, with vocabularies as rich as their spoken language counterparts. However, current deep-learning based Sign Language Production (SLP) models pro…
Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
It is common practice to represent spoken languages at their phonetic level. However, for sign languages, this implies breaking motion into its constituent motion primitives. Avata…
AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisation
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
The visual anonymisation of sign language data is an essential task to address privacy concerns raised by large-scale dataset collection. Previous anonymisation techniques have eit…
Content4All Open Research Sign Language Translation Datasets
Necati Cihan Camgoz, Ben Saunders, Guillaume Rochette +4
Computational sign language research lacks the large-scale datasets that enables the creation of useful reallife applications. To date, most research has been limited to prototype…
Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
Sign languages are multi-channel visual languages, where signers use a continuous 3D space to communicate.Sign Language Production (SLP), the automatic translation from spoken to s…
Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
To be truly understandable and accepted by Deaf communities, an automatic Sign Language Production (SLP) system must generate a photo-realistic signer. Prior approaches based on gr…