Ben Saunders

Orcid: 0000-0001-9413-6280

According to our database1, Ben Saunders authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Sign Stitching: A Novel Approach to Sign Language Production.
CoRR, 2024

Select and Reorder: A Novel Approach for Neural Sign Language Production.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Gloss Alignment using Word Embeddings.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Changing the Representation: Examining Language Representation for Neural Sign Language Production.
CoRR, 2022

Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks.
Int. J. Comput. Vis., 2021

Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production.
CoRR, 2021

Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SeeHear: Signer Diarisation and a New Dataset.
Proceedings of the IEEE International Conference on Acoustics, 2021

Anonysign: Novel Human Appearance Synthesis for Sign Language Video Anonymisation.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Content4All Open Research Sign Language Translation Datasets.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2020
Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video.
CoRR, 2020

Progressive Transformers for End-to-End Sign Language Production.
Proceedings of the Computer Vision - ECCV 2020, 2020

Adversarial Training for Multi-Channel Sign Language Production.
Proceedings of the 31st British Machine Vision Conference 2020, 2020


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