Advanced Sign Language Tasks
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-68763-1_6
Reference4 articles.
1. Vázquez Enríquez, M., Castro, J.L.A., Fernandez, L.D., Jacques Junior, J.C.S., Escalera, S.: ECCV 2022 Sign Spotting Challenge: Dataset, Design and Results. In: Karlinsky, L., Michaeli, T., and Nishino, K. (eds.) Computer Vision – ECCV 2022 Workshops. pp. 225–242. Springer Nature Switzerland, Cham (2023). https://doi.org/10.1007/978-3-031-25085-9_13.
2. Jiang, S., Sun, B., Wang, L., Bai, Y., Li, K., Fu, Y.: Skeleton Aware Multi-modal Sign Language Recognition. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). pp. 3408–3418 (2021). 10.1109/CVPRW53098.2021.00380.
3. Aziz, M., Othman, A.: Evolution and Trends in Sign Language Avatar Systems: Unveiling a 40-Year Journey via Systematic Review. Multimodal Technologies and Interaction. 7, 97 (2023).
4. Othman, A., El Ghoul, O.: BuHamad: The first Qatari virtual interpreter for Qatari Sign Language. Nafath. 6, (2022).
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