Ghent University Academic Bibliography

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Trends and challenges for sign language recognition with machine learning

J. Fink, Mathieu De Coster (UGent) , Joni Dambre (UGent) and B. Frénay

(2023) p.561-570
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Querying a sign language dictionary with videos using dense vector search

Mathieu De Coster (UGent) and Joni Dambre (UGent)

(2023) 2023 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING WORKSHOPS, ICASSPW.
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Machine translation from signed to spoken languages : state of the art and challenges

Mathieu De Coster (UGent) , Dimitar Shterionov, Mieke Van Herreweghe (UGent) and Joni Dambre (UGent)

(2023) UNIVERSAL ACCESS IN THE INFORMATION SOCIETY. p.1-27
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Leveraging frozen pretrained written language models for neural sign language translation

Mathieu De Coster (UGent) and Joni Dambre (UGent)

(2022) INFORMATION. 13(5).
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Attention analysis of a sign language recognition task on the AUTSL dataset

Jeanne Coppin, Mathieu De Coster (UGent) and Joni Dambre (UGent)

(2022) Computational Linguistics in the Netherlands (CLIN 32), Abstracts.
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Progress, challenges and innovations of the SignON project

Vincent Vandeghinste, Mirella De Sisto, Dimitar Shterionov, Aoife Brady, Mathieu De Coster (UGent) , Lorraine Leeson, Josep Blat, Frankie Picron, Marcello Scipioni, Aditya Parikh, et al.

(2022) Computational Linguistics in the Netherlands (CLIN 32), Abstracts.
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Sign language translation : ongoing development, challenges and innovations in the SignON project

Dimitar Shterionov, Mirella De Sisto, Vincent Vandeghinste, Aoife Brady, Mathieu De Coster (UGent) , Lorraine Leeson, Josep Blat, Frankie Picron, Marcello Scipioni, Aditya Parikh, et al.

(2022) Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. p.325-326
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BeCoS corpus : Belgian Covid-19 Sign language corpus : a corpus for training sign language recognition and translation

Vincent Vandeghinste, Bob Van Dyck, Mathieu De Coster (UGent) , Maud Goddefroy and Joni Dambre (UGent)

(2022) COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL. 12. p.7-17
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Isolated sign recognition from RGB video using pose flow and self-attention

Mathieu De Coster (UGent) , Mieke Van Herreweghe (UGent) and Joni Dambre (UGent)

(2021) 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). In IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops p.3441-3450
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Frozen pretrained transformers for neural sign language translation

Mathieu De Coster (UGent) , Karel D'Oosterlinck (UGent) , Marija Pizurica (UGent) , Paloma Rabaey (UGent) , Severine Verlinden, Mieke Van Herreweghe (UGent) and Joni Dambre (UGent)

(2021) Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL). p.88-97

Academic Bibliography

Trends and challenges for sign language recognition with machine learning

Querying a sign language dictionary with videos using dense vector search

Machine translation from signed to spoken languages : state of the art and challenges

Leveraging frozen pretrained written language models for neural sign language translation

Attention analysis of a sign language recognition task on the AUTSL dataset

Progress, challenges and innovations of the SignON project

Sign language translation : ongoing development, challenges and innovations in the SignON project

BeCoS corpus : Belgian Covid-19 Sign language corpus : a corpus for training sign language recognition and translation

Isolated sign recognition from RGB video using pose flow and self-attention

Frozen pretrained transformers for neural sign language translation

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