activity
20202022
most citedEverybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video

37 citations · 54 across the 7 of their papers we have counts for

collaborators

11 papers

cs.CV2022

Hierarchical I3D for Sign Spotting

Ryan Wong, Necati Cihan Camgöz, Richard Bowden

Most of the vision-based sign language research to date has focused on Isolated Sign Language Recognition (ISLR), where the objective is to predict a single sign class given a shor…

cs.CV20227 cited

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021

Shadow-Mapping for Unsupervised Neural Causal Discovery

Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden

An important goal across most scientific fields is the discovery of causal structures underling a set of observations. Unfortunately, causal discovery methods which are based on co…