Sign Language Recognition with Transformer Networks. - Mathieu De Coster; Mieke Van Herreweghe; Joni Dambre (LREC, 2020)

Isolated Sign Recognition From RGB Video Using Pose Flow and Self-Attention. - Mathieu De Coster; Mieke Van Herreweghe; Joni Dambre (CVPR Workshops, 2021)

Frozen Pretrained Transformers for Neural Sign Language Translation. - Mathieu De Coster; Karel D'Oosterlinck; Marija Pizurica; Paloma Rabaey; Severine Verlinden; Mieke Van Herreweghe; Joni Dambre (AT4SSL@MTSummit, 2021)

Sign Language Translation: Ongoing Development, Challenges and Innovations in the SignON Project. - Dimitar Shterionov; Mirella De Sisto; Vincent Vandeghinste; Aoife Brady; Mathieu De Coster; Lorraine Leeson; Josep Blat; Frankie Picron; Marcello Paolo Scipioni; Aditya Parikh; Louis ten Bosch; John O'Flaherty; et al. (EAMT, 2022)

Challenges with Sign Language Datasets for Sign Language Recognition and Translation. - Mirella De Sisto; Vincent Vandeghinste; Santiago Egea Gómez; Mathieu De Coster; Dimitar Shterionov; Horacio Saggion (LREC, 2022)

Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation. - Mathieu De Coster; Joni Dambre (Inf., 2022)

SignON: Sign Language Translation. Progress and challenges. - Vincent Vandeghinste; Dimitar Shterionov; Mirella De Sisto; Aoife Brady; Mathieu De Coster; Lorraine Leeson; Josep Blat; Frankie Picron; Marcello Paolo Scipioni; Aditya Parikh; Louis ten Bosch; John O'Flaherty; et al. (EAMT, 2023)

Trends and Challenges for Sign Language Recognition with Machine Learning. - Jérôme Fink; Mathieu De Coster; Joni Dambre; Benoît Frénay (ESANN, 2023)

Querying A Sign Language Dictionary with Videos Using Dense Vector Search. - Mathieu De Coster; Joni Dambre (ICASSP Workshops, 2023)

From Scarcity to Understanding: Transfer Learning for the Extremely Low Resource Irish Sign Language. - Ruth Holmes; Ellen Rushe; Mathieu De Coster; Maxim Bonnaerens; Shinichi Satoh 001; Akihiro Sugimoto; Anthony Ventresque (ICCV (Workshops), 2023)

Towards the extraction of robust sign embeddings for low resource sign language recognition. - Mathieu De Coster; Ellen Rushe; Ruth Holmes; Anthony Ventresque; Joni Dambre (CoRR, 2023)

SignON - a Co-creative Machine Translation for Sign and Spoken Languages (end-of-project results, contributions and lessons learned). - Dimitar Shterionov; Vincent Vandeghinste; Mirella De Sisto; Aoife Brady; Mathieu De Coster; Lorraine Leeson; Andy Way; Josep Blat; Frankie Picron; Davy Van Landuyt; Marcello Paolo Scipioni; Aditya Parikh; et al. (EAMT (2), 2024)

Predicting Errors and Failures in Human-Robot Interaction from Multi-Modal Temporal Data. - Ruben Janssens; Eva Verhelst; Mathieu De Coster (ICMI, 2024)

Machine translation from signed to spoken languages: state of the art and challenges. - Mathieu De Coster; Dimitar Shterionov; Mieke Van Herreweghe; Joni Dambre (Univers. Access Inf. Soc., 2024)

Representing Signs as Signs: One-Shot ISLR to Facilitate Functional Sign Language Technologies. - Toon Vandendriessche; Mathieu De Coster; Annelies Lejon; Joni Dambre (CoRR, 2025)

Correction to: Machine translation from signed to spoken languages: state of the art and challenges. - Mathieu De Coster; Dimitar Shterionov; Mieke Van Herreweghe; Joni Dambre (Univers. Access Inf. Soc., 2025)