Sign Language Translation (SLT) is a challenging task that aims to gener...
In natural language processing (NLP) of spoken languages, word embedding...
Most of the vision-based sign language research to date has focused on
I...
Sign languages are visual languages, with vocabularies as rich as their
...
Parameter estimation in the empirical fields is usually undertaken using...
Recent approaches to Sign Language Production (SLP) have adopted spoken
...
It is common practice to represent spoken languages at their phonetic le...
The visual anonymisation of sign language data is an essential task to
a...
Computational sign language research lacks the large-scale datasets that...
Predicting 3D human pose from a single monoscopic video can be highly
ch...
Signed languages are visual languages produced by the movement of the ha...
An important goal across most scientific fields is the discovery of caus...
Disentangled representations support a range of downstream tasks includi...
Sign languages are multi-channel visual languages, where signers use a
c...
Causal reasoning is a crucial part of science and human intelligence. In...
To be truly understandable and accepted by Deaf communities, an automati...
Undertaking causal inference with observational data is extremely useful...
Sign languages use multiple asynchronous information channels (articulat...
Sign Languages are rich multi-channel languages, requiring articulation ...
The goal of automatic Sign Language Production (SLP) is to translate spo...
Sign Language Recognition is a challenging research domain. It has recen...
Prior work on Sign Language Translation has shown that having a mid-leve...
Fair and unbiased machine learning is an important and active field of
r...
Variational AutoEncoders (VAEs) provide a means to generate representati...