Necati Cihan Camgoz | DeepAI

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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...

0 Ozge Mercanoglu Sincan, et al. ∙

∙ 08/18/2023

Learnt Contrastive Concept Embeddings for Sign Recognition

In natural language processing (NLP) of spoken languages, word embedding...

0 Ryan Wong, et al. ∙

∙ 10/03/2022

Hierarchical I3D for Sign Spotting

Most of the vision-based sign language research to date has focused on I...

4 Ryan Wong, et al. ∙

∙ 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 ...

23 Ben Saunders, et al. ∙

∙ 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...

6 Matthew J. Vowels, et al. ∙

∙ 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 ...

6 Ben Saunders, et al. ∙

∙ 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...

16 Ben Saunders, et al. ∙

∙ 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...

12 Ben Saunders, et al. ∙

∙ 05/05/2021

Content4All Open Research Sign Language Translation Datasets

Computational sign language research lacks the large-scale datasets that...

4 Necati Cihan Camgoz, et al. ∙

∙ 04/23/2021

Skeletor: Skeletal Transformers for Robust Body-Pose Estimation

Predicting 3D human pose from a single monoscopic video can be highly ch...

5 Tao Jiang, et al. ∙

∙ 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...

14 Amit Moryossef, et al. ∙

∙ 04/16/2021

Shadow-Mapping for Unsupervised Neural Causal Discovery

An important goal across most scientific fields is the discovery of caus...

19 Matthew J. Vowels, et al. ∙

∙ 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...

8 Matthew J. Vowels, et al. ∙

∙ 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...

4 Ben Saunders, et al. ∙

∙ 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...

4 Matthew J. Vowels, et al. ∙

∙ 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...

12 Ben Saunders, et al. ∙

∙ 09/28/2020

Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation

Undertaking causal inference with observational data is extremely useful...

0 Matthew James Vowels, et al. ∙

∙ 09/01/2020

Multi-channel Transformers for Multi-articulatory Sign Language Translation

Sign languages use multiple asynchronous information channels (articulat...

0 Necati Cihan Camgoz, et al. ∙

∙ 08/27/2020

Adversarial Training for Multi-Channel Sign Language Production

Sign Languages are rich multi-channel languages, requiring articulation ...

1 Ben Saunders, et al. ∙

∙ 04/30/2020

Progressive Transformers for End-to-End Sign Language Production

The goal of automatic Sign Language Production (SLP) is to translate spo...

1 Ben Saunders, et al. ∙

∙ 04/02/2020

BosphorusSign22k Sign Language Recognition Dataset

Sign Language Recognition is a challenging research domain. It has recen...

0 Oğulcan Özdemir, et al. ∙

∙ 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...

0 Necati Cihan Camgoz, et al. ∙

∙ 02/26/2020

NestedVAE: Isolating Common Factors via Weak Supervision

Fair and unbiased machine learning is an important and active field of r...

0 Matthew J. Vowels, et al. ∙

∙ 11/15/2019

Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement

Variational AutoEncoders (VAEs) provide a means to generate representati...

28 Matthew J. Vowels, et al. ∙

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