37 citations · 84 across the 9 of their papers we have counts for
11 papers
Gloss Alignment Using Word Embeddings
Harry Walsh, Ozge Mercanoglu Sincan, Ben Saunders +1
Capturing and annotating Sign language datasets is a time consuming and costly process. Current datasets are orders of magnitude too small to successfully train unconstrained \acf{…
Changing the Representation: Examining Language Representation for Neural Sign Language Production
Harry Walsh, Ben Saunders, Richard Bowden
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 two ste…
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…
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
Recent approaches to Sign Language Production (SLP) have adopted spoken language Neural Machine Translation (NMT) architectures, applied without sign-specific modifications. In add…
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…