SL-ReDu-Reference-Cited by-同舟云学术

SL-ReDu

Published:2020-06-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments
language:
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Author:

Potamianos Gerasimos¹,Papadimitriou Katerina¹,Efthimiou Eleni²,Fotinea Stavroula-Evita²,Sapountzaki Galini¹,Maragos Petros³

Affiliation:

1. University of Thessaly, Volos, Greece

2. Athena Research & Innovation Center, Marousi, Greece

3. National Technical Univ. of Athens, Athens, Greece

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3389189.3398006

Reference43 articles.

1. 2019. ELAN (Version 5.8) [Computer software]. Nijmegen: Max Planck Institute for Psycholinguistics The Language Archive. https://archive.mpi.nl/tla/elan. 2019. ELAN (Version 5.8) [Computer software]. Nijmegen: Max Planck Institute for Psycholinguistics The Language Archive. https://archive.mpi.nl/tla/elan.

2. Epameinondas Antonakos Vassilis Pitsikalis and Petros Maragos. 2014. Classification of extreme facial events in sign language videos. EURASIP Journal on Image and Video Processing 14 (2014). Epameinondas Antonakos Vassilis Pitsikalis and Petros Maragos. 2014. Classification of extreme facial events in sign language videos. EURASIP Journal on Image and Video Processing 14 (2014).

3. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. Computing Research Repository (2014). arXiv:abs/1409.0473v7. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. Computing Research Repository (2014). arXiv:abs/1409.0473v7.

4. American Sign Language Recognition using Deep Learning and Computer Vision

5. Neural Sign Language Translation

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