no code implementations • 7 Feb 2022 • Mathieu De Coster, Dimitar Shterionov, Mieke Van Herreweghe, Joni Dambre
Automatic translation from signed to spoken languages is an interdisciplinary research domain, lying on the intersection of computer vision, machine translation and linguistics.
1 code implementation • International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL) 2021 • Mathieu De Coster, Karel D'Oosterlinck, Marija Pizurica, Paloma Rabaey, Severine Verlinden, Mieke Van Herreweghe, Joni Dambre
Our results show that pretrained language models can be used to improve sign language translation performance and that the self-attention patterns in BERT transfer in zero-shot to the encoder and decoder of sign language translation models.
1 code implementation • Computer Vision and Pattern Recognition Workshops (CVPRW) 2021 • Mathieu De Coster, Mieke Van Herreweghe, Joni Dambre
However, due to the limited amount of labeled data that is commonly available for training automatic sign (language) recognition, the VTN cannot reach its full potential in this domain.
Ranked #6 on Sign Language Recognition on AUTSL
no code implementations • LREC 2020 • Mathieu De Coster, Mieke Van Herreweghe, Joni Dambre
Sign language recognition can be used to speed up the annotation process of these corpora, in order to aid research into sign languages and sign language recognition.
1 code implementation • 5 Jun 2015 • Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe, Joni Dambre
Recent studies have demonstrated the power of recurrent neural networks for machine translation, image captioning and speech recognition.
Ranked #1 on Gesture Recognition on Montalbano