Progressive Transformers for End-to-End Sign Language Production

[1]  Yaser Sheikh,et al.  OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Hermann Ney,et al.  Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Kayo Yin,et al.  Sign Language Translation with Transformers , 2020, ArXiv.

[4]  Oscar Koller,et al.  Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[5]  Jan Zelinka,et al.  Neural Sign Language Synthesis: Words Are Our Glosses , 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

[6]  Qinkun Xiao,et al.  Skeleton-based Chinese sign language recognition and generation for bidirectional communication between deaf and hearing people , 2020, Neural Networks.

[7]  L. Akarun,et al.  Neural Sign Language Translation by Learning Tokenization , 2020, 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020).

[8]  Necati Cihan Camgoz,et al.  Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks , 2020, International Journal of Computer Vision.

[9]  Jan Kautz,et al.  Dancing to Music , 2019, NeurIPS.

[10]  Amanda Cardoso Duarte,et al.  Cross-modal Neural Sign Language Translation , 2019, ACM Multimedia.

[11]  Yi Yang,et al.  Entangled Transformer for Image Captioning , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[12]  Jan Zelinka,et al.  NN-Based Czech Sign Language Synthesis , 2019, SPECOM.

[13]  Stefan Riezler,et al.  Joey NMT: A Minimalist NMT Toolkit for Novices , 2019, EMNLP.

[14]  Tunga Güngör,et al.  A Hybrid Translation System from Turkish Spoken Language to Turkish Sign Language , 2019, 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA).

[15]  Jitendra Malik,et al.  Learning Individual Styles of Conversational Gesture , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[16]  Xu Tan,et al.  FastSpeech: Fast, Robust and Controllable Text to Speech , 2019, NeurIPS.

[17]  Maosong Sun,et al.  ERNIE: Enhanced Language Representation with Informative Entities , 2019, ACL.

[18]  Partha Pratim Roy,et al.  Predicting Video-frames Using Encoder-convlstm Combination , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[19]  Yiming Yang,et al.  Transformer-XL: Attentive Language Models beyond a Fixed-Length Context , 2019, ACL.

[20]  Andrew Zisserman,et al.  Video Action Transformer Network , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[21]  Sang-Ki Ko,et al.  Neural Sign Language Translation based on Human Keypoint Estimation , 2018, Applied Sciences.

[22]  Shujie Liu,et al.  Neural Speech Synthesis with Transformer Network , 2018, AAAI.

[23]  Ming-Wei Chang,et al.  BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.

[24]  Marta R. Costa-jussà,et al.  End-to-End Speech Translation with the Transformer , 2018, IberSPEECH.

[25]  Douglas Eck,et al.  Music Transformer , 2018, 1809.04281.

[26]  Richard Bowden,et al.  Sign Language Production using Neural Machine Translation and Generative Adversarial Networks , 2018, BMVC.

[27]  Hermann Ney,et al.  Neural Sign Language Translation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[28]  Sarah Ebling,et al.  SMILE Swiss German Sign Language Dataset , 2018, LREC.

[29]  Ke Li,et al.  A Time-Restricted Self-Attention Layer for ASR , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[30]  Luowei Zhou,et al.  End-to-End Dense Video Captioning with Masked Transformer , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[31]  Dustin Tran,et al.  Image Transformer , 2018, ICML.

[32]  Tara N. Sainath,et al.  State-of-the-Art Speech Recognition with Sequence-to-Sequence Models , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[33]  Timothy Ha,et al.  Text2Action: Generative Adversarial Synthesis from Language to Action , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[34]  Tamim Asfour,et al.  Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks , 2017, Robotics Auton. Syst..

[35]  Andreas Stafylopatis,et al.  Statistical Machine Translation for Greek to Greek Sign Language Using Parallel Corpora Produced via Rule-Based Machine Translation , 2018, CIMA@ICTAI.

[36]  Luca Antiga,et al.  Automatic differentiation in PyTorch , 2017 .

[37]  Oscar Koller,et al.  SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[38]  Changshui Zhang,et al.  Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[39]  Hermann Ney,et al.  Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[40]  Lukasz Kaiser,et al.  Attention is All you Need , 2017, NIPS.

[41]  Alexei A. Efros,et al.  Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[42]  Yaser Sheikh,et al.  OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[43]  Alexei A. Efros,et al.  Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[44]  Hermann Ney,et al.  Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition , 2016, BMVC.

[45]  Geoffrey E. Hinton,et al.  Layer Normalization , 2016, ArXiv.

[46]  Wojciech Zaremba,et al.  Improved Techniques for Training GANs , 2016, NIPS.

[47]  Hermann Ney,et al.  Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[48]  Lale Akarun,et al.  Isolated sign language recognition using Improved Dense Trajectories , 2016, 2016 24th Signal Processing and Communication Application Conference (SIU).

[49]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[50]  Rico Sennrich,et al.  Improving Neural Machine Translation Models with Monolingual Data , 2015, ACL.

[51]  Rosalee Wolfe,et al.  An automated technique for real-time production of lifelike animations of American Sign Language , 2015, Universal Access in the Information Society.

[52]  Hermann Ney,et al.  Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers , 2015, Comput. Vis. Image Underst..

[53]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[54]  Yoshua Bengio,et al.  Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.

[55]  Lale Akarun,et al.  HOSPISIGN: AN INTERACTIVE SIGN LANGUAGE PLATFORM FOR HEARING IMPAIRED , 2015 .

[56]  Quoc V. Le,et al.  Sequence to Sequence Learning with Neural Networks , 2014, NIPS.

[57]  Yoshua Bengio,et al.  On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.

[58]  Hermann Ney,et al.  Extensions of the Sign Language Recognition and Translation Corpus RWTH-PHOENIX-Weather , 2014, LREC.

[59]  Jeffrey Dean,et al.  Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.

[60]  Phil Blunsom,et al.  Recurrent Continuous Translation Models , 2013, EMNLP.

[61]  Alex Graves,et al.  Generating Sequences With Recurrent Neural Networks , 2013, ArXiv.

[62]  Hermann Ney,et al.  RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus , 2012, LREC.

[63]  Nicolas Pugeault,et al.  Sign language recognition using sub-units , 2012, J. Mach. Learn. Res..

[64]  Alexis Héloir,et al.  Sign Language Avatars: Animation and Comprehensibility , 2011, IVA.

[65]  Yoshua Bengio,et al.  Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.

[66]  Kostas Karpouzis,et al.  Educational resources and implementation of a Greek sign language synthesis architecture , 2007, Comput. Educ..

[67]  John Glauert,et al.  VANESSA - A system for communication between deaf and hearing people , 2006 .

[68]  Hermann Hienz,et al.  Video-based continuous sign language recognition using statistical methods , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[69]  Dimitris N. Metaxas,et al.  Parallel hidden Markov models for American sign language recognition , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[70]  Alex Pentland,et al.  Real-time American Sign Language recognition from video using hidden Markov models , 1995 .

[71]  Donald J. Berndt,et al.  Using Dynamic Time Warping to Find Patterns in Time Series , 1994, KDD Workshop.

[72]  Shinichi Tamura,et al.  Recognition of sign language motion images , 1988, Pattern Recognit..