ir. Mathieu De Coster
- ORCID iD
- 0000-0002-1103-2441
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- PhD Thesis
- open access
Neural sign language recognition and translation : towards sign language applications powered by artificial intelligence
(2024) -
- Miscellaneous
- open access
Machine translation from signed to spoken languages : state of the art and challenges (01 Apr, 10.1007/s10209-023-00992-1, 2023)
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- Journal Article
- A1
- open access
Machine translation from signed to spoken languages : state of the art and challenges
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- Conference Paper
- C1
- open access
SignON sign language translation : progress and challenges
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- Conference Paper
- P1
- open access
From scarcity to understanding : transfer learning for the extremely low resource Irish sign language
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- Conference Paper
- C1
- open access
Trends and challenges for sign language recognition with machine learning
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- Conference Paper
- P1
- open access
Querying a sign language dictionary with videos using dense vector search
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- Journal Article
- A2
- open access
BeCoS corpus : Belgian Covid-19 Sign language corpus : a corpus for training sign language recognition and translation
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- Conference Paper
- P1
- open access
Challenges with sign language datasets for sign language recognition and translation
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- Conference Paper
- C3
- open access
Attention analysis of a sign language recognition task on the AUTSL dataset