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08/18/2023
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse
Sign Language Translation (SLT) is a challenging task that aims to gener...
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08/18/2023
Learnt Contrastive Concept Embeddings for Sign Recognition
In natural language processing (NLP) of spoken languages, word embedding...
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10/03/2022
Hierarchical I3D for Sign Spotting
Most of the vision-based sign language research to date has focused on I...
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03/29/2022
Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production
Sign languages are visual languages, with vocabularies as rich as their ...
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02/18/2022
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics
Parameter estimation in the empirical fields is usually undertaken using...
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12/06/2021
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production
Recent approaches to Sign Language Production (SLP) have adopted spoken ...
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07/23/2021
Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives
It is common practice to represent spoken languages at their phonetic le...
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07/22/2021
AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisation
The visual anonymisation of sign language data is an essential task to a...
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05/05/2021
Content4All Open Research Sign Language Translation Datasets
Computational sign language research lacks the large-scale datasets that...
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04/23/2021
Skeletor: Skeletal Transformers for Robust Body-Pose Estimation
Predicting 3D human pose from a single monoscopic video can be highly ch...
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04/20/2021
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition
Signed languages are visual languages produced by the movement of the ha...
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04/16/2021
Shadow-Mapping for Unsupervised Neural Causal Discovery
An important goal across most scientific fields is the discovery of caus...
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03/12/2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts
Disentangled representations support a range of downstream tasks includi...
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03/11/2021
Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks
Sign languages are multi-channel visual languages, where signers use a c...
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03/03/2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
Causal reasoning is a crucial part of science and human intelligence. In...
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11/19/2020
Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video
To be truly understandable and accepted by Deaf communities, an automati...
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09/28/2020
Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation
Undertaking causal inference with observational data is extremely useful...
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09/01/2020
Multi-channel Transformers for Multi-articulatory Sign Language Translation
Sign languages use multiple asynchronous information channels (articulat...
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08/27/2020
Adversarial Training for Multi-Channel Sign Language Production
Sign Languages are rich multi-channel languages, requiring articulation ...
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04/30/2020
Progressive Transformers for End-to-End Sign Language Production
The goal of automatic Sign Language Production (SLP) is to translate spo...
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04/02/2020
BosphorusSign22k Sign Language Recognition Dataset
Sign Language Recognition is a challenging research domain. It has recen...
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03/30/2020
Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
Prior work on Sign Language Translation has shown that having a mid-leve...
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02/26/2020
NestedVAE: Isolating Common Factors via Weak Supervision
Fair and unbiased machine learning is an important and active field of r...
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11/15/2019
