NN-Based Czech Sign Language Synthesis-Reference-Cited by-同舟云学术

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NN-Based Czech Sign Language Synthesis

Published:2019 Issue: Volume: Page:559-568
ISSN:0302-9743
Container-title:Speech and Computer
language:
Short-container-title:

Author:

Zelinka Jan,Kanis Jakub,Salajka Petr

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-26061-3_57

Reference13 articles.

1. Almeida, I., Coheur, L., Candeias, S.: Coupling natural language processing and animation synthesis in Portuguese sign language translation. In: Proceedings of the Fourth Workshop on Vision and Language, pp. 94–103. Association for Computational Linguistics, Lisbon (2015)

2. Camgoz, N.C., Hadfield, S., Koller, O., Ney, H., Bowden, R.: Neural sign language translation. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)

3. Cuturi, M., Blondel, M.: Soft-DTW: a differentiable loss function for time-series. In: ICML (2017)

4. Dey, R., Salemt, F.M.: Gate-variants of gated recurrent unit (GRU) neural networks. In: 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 1597–1600 (2017)

5. Jahangiri, E., Yuille, A.L.: Generating multiple diverse hypotheses for human 3D pose consistent with 2D joint detections. In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 805–814 (2017)

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2. Sign Language Translation Systems;International Journal of Software Science and Computational Intelligence;2022-10-14

3. Gloss Semantic-Enhanced Network with Online Back-Translation for Sign Language Production;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10

4. Skeletor: Skeletal Transformers for Robust Body-Pose Estimation;2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2021-06

5. How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language;2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2021-06

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