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Multi-channel Transformers for Multi-articulatory Sign Language Translation.

, , , and . ECCV Workshops (4), volume 12538 of Lecture Notes in Computer Science, page 301-319. Springer, (2020)

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Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video., , and . CoRR, (2020)Sign Language Recognition for Assisting the Deaf in Hospitals., , and . HBU, volume 9997 of Lecture Notes in Computer Science, page 89-101. (2016)Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation., , , and . CVPR, page 10020-10030. Computer Vision Foundation / IEEE, (2020)Adversarial Training for Multi-Channel Sign Language Production., , and . BMVC, BMVA Press, (2020)Facial landmark localization in depth images using Supervised Descent Method., , and . SIU, page 1997-2000. IEEE, (2015)BosphorusSign: A Turkish Sign Language Recognition Corpus in Health and Finance Domains., , , , , and . LREC, European Language Resources Association (ELRA), (2016)BosphorusSign22k Sign Language Recognition Dataset., , , and . CoRR, (2020)Content4All Open Research Sign Language Translation Datasets., , , , , , and . FG, page 1-5. IEEE, (2021)Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks., , and . Int. J. Comput. Vis., 129 (7): 2113-2135 (2021)Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks., , , and . Int. J. Comput. Vis., 128 (4): 891-908 (2020)