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Developing successful sign language recognition, generation, and translation systems requires expertise in a wide range of fields, including computer vision, computer graphics, natural language processing, human-computer interaction, linguistics, and Deaf culture.
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Sign Language Recognition Using Linguistically Derived Sub-Units…. In LREC Workshop on the Representation and Processing of Sign Languages: Corpora and Sign Language Technologies
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Regression Analysis of Demographic and Technology-Experience Factors Influencing Acceptance of Sign Language Animation
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Re-Sign: Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
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George Veditz Quote - 1913
British Deaf Association. 2015 · 2019
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Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos
Oscar Koller, Necati Cihan Camgoz, Hermann Ney, and Richard Bowden. 2019 · 2019
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Chinese Sign Language Recognition Dataset
University of Science and SLR Group Technology of China, Multimedia Computing & Communication. 2019 · 2019
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