Fetching the paper…
Reading the bibliography…
Sign languages use multiple asynchronous information channels (articulators), not just the hands but also the face and body, which computational approaches often ignore.
Bellugi, U., Fischer, S.: A comparison of sign language and spoken language. Cognition
1972
Earlier work this paper cites.
Stokoe, W.C.: Sign Language Structure. Annual Review of Anthropology
1980
Earlier work this paper cites.
Grimes, G.J.: Digital Data Entry Glove Interface Device (1983), uS Patent 4,414,537
1983
Earlier work this paper cites.
Tamura, S., Kawasaki, S.: Recognition of Sign Language Motion Images. Pattern Recognition
1988
Earlier work this paper cites.
Starner, T., Weaver, J., Pentland, A.: Real-time American Sign Language Recognition using Desk and Wearable Computer Based Video. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
1998
Earlier work this paper cites.
Sutton-Spence, R., Woll, B.: The Linguistics of British Sign Language: An Introduction. Cambridge University Press (1999)
1999
Earlier work this paper cites.
Valli, C., Lucas, C.: Linguistics of American Sign Language: An Introduction. Gallaudet University Press (2000)
2000
Earlier work this paper cites.
Wilbur, R.B.: Phonological and Prosodic Layering of Nonmanuals in American Sign Language. The Signs of Language Revisited: An Anthology to Honor Ursula Bellugi and Edward Klima (2000)
2000
Earlier work this paper cites.
Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: BLEU: A Method for Automatic Evaluation of Machine Translation. In: Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) (2002)
2002
Earlier work this paper cites.
Bungeroth, J., Ney, H.: Statistical Sign Language Translation. In: Proceedings of the Workshop on Representation and Processing of Sign Languages at International Conference on Language Resources and Evaluation (LREC) (2004)
2004
Earlier work this paper cites.
Lin, C.Y.: ROUGE: A Package for Automatic Evaluation of Summaries. In: Proceedings of the Annual Meeting of the Association for Computational Linguistics, Text Summarization Branches Out Workshop (2004)
2004
Earlier work this paper cites.
Parton, B.S.: Sign Language Recognition and Translation: A Multidisciplined Approach From the Field of Artificial Intelligence. The Journal of Deaf Studies and Deaf Education
2005
Earlier work this paper cites.
Vogler, C., Goldenstein, S.: Facial Movement Analysis in ASL. Universal Access in the Information Society
2008
Earlier work this paper cites.
Glorot, X., Bengio, Y.: Understanding the Difficulty of Training Deep Feedforward Neural Networks. In: Proceedings of the International Conference on Artificial Intelligence and Statistics (2010)
2010
Earlier work this paper cites.
Pfau, R., Quer, J.: Nonmanuals: Their Grammatical and Prosodic Roles. In: Sign Languages. Cambridge University Press (2010)
2010
Earlier work this paper cites.
Stein, D., Schmidt, C., Ney, H.: Sign Language Machine Translation Overkill. In: International Workshop on Spoken Language Translation (2010)
2010
Earlier work this paper cites.
Antonakos, E., Pitsikalis, V., Rodomagoulakis, I., Maragos, P.: Unsupervised Classification of Extreme Facial Events Using Active Appearance Models Tracking for Sign Language Videos. In: Proceedings of the IEEE International Conference on Image Processing (ICIP) (2012)
2012
Earlier work this paper cites.
Pfister, T., Charles, J., Everingham, M., Zisserman, A.: Automatic and Efficient Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts. In: Proceedings of the British Machine Vision Conference (BMVC) (2012)
2012
Earlier work this paper cites.
Chai, X., Li, G., Lin, Y., Xu, Z., Tang, Y., Chen, X., Zhou, M.: Sign Language Recognition and Translation with Kinect. In: Proceedings of the International Conference on Automatic Face and Gesture Recognition (FG) (2013)
2013
Earlier work this paper cites.
Kalchbrenner, N., Blunsom, P.: Recurrent Continuous Translation Models. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) (2013)
2013
Earlier work this paper cites.
Luzardo, M., Karppa, M., Laaksonen, J., Jantunen, T.: Head Pose Estimation for Sign Language Video. Image Analysis (2013)
2013
Earlier work this paper cites.
Caridakis, G., Asteriadis, S., Karpouzis, K.: Non-Manual Cues in Automatic Sign Language Recognition. Personal and ubiquitous computing
2014
Earlier work this paper cites.
Charles, J., Pfister, T., Everingham, M., Zisserman, A.: Automatic and Efficient Human Pose Estimation for Sign Language Videos. International Journal of Computer Vision (IJCV)
2014
Earlier work this paper cites.
Cho, K., Van Merriënboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., Bengio, Y.: Learning Phrase Representations Using RNN Encoder-Decoder for Statistical Machine Translation. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) (2014)
2014
Cited alongside, same era.
Kingma, D.P., Ba, J.: Adam: A Method for Stochastic Optimization. In: Proceedings of the International Conference on Learning Representations (ICLR) (2014)
2014
Cited alongside, same era.
Koller, O., Ney, H., Bowden, R.: Read My Lips: Continuous Signer Independent Weakly Supervised Viseme Recognition. In: European Conference on Computer Vision (ECCV) (2014)
2014
Cited alongside, same era.
Pigou, L., Dieleman, S., Kindermans, P.J., Schrauwen, B.: Sign Language Recognition using Convolutional Neural Networks. In: European Conference on Computer Vision Workshops (ECCVW) (2014)
2014
Cited alongside, same era.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is All You Need. In: Proceedings of the Advances in Neural Information Processing Systems (NIPS) (2017)
2017
Later among the works it cites.
Afouras, T., Chung, J.S., Senior, A., Vinyals, O., Zisserman, A.: Deep Audio-visual Speech Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2018)
2018
Later among the works it cites.
Camgoz, N.C., Hadfield, S., Koller, O., Ney, H., Bowden, R.: Neural Sign Language Translation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
2018
Later among the works it cites.
Guo, D., Zhou, W., Li, H., Wang, M.: Hierarchical LSTM for Sign Language Translation. In: Proceedings of the AAAI Conference on Artificial Intelligence (2018)
2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to Sequence Learning with Neural Networks. In: Proceedings of the Advances in Neural Information Processing Systems (NIPS) (2014)
2014
Cited alongside, same era.
Bahdanau, D., Cho, K., Bengio, Y.: Neural Machine Translation by Jointly Learning to Align and Translate. In: Proceedings of the International Conference on Learning Representations (ICLR) (2015)
2015
Cited alongside, same era.
Ioffe, S., Szegedy, C.: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. In: Proceedings of the International Conference on Machine Learning (ICML) (2015)
2015
Cited alongside, same era.
Koller, O., Forster, J., Ney, H.: Continuous Sign Language Recognition: Towards Large Vocabulary Statistical Recognition Systems Handling Multiple Signers. Computer Vision and Image Understanding (CVIU)
2015
Cited alongside, same era.
Koller, O., Ney, H., Bowden, R.: Deep Learning of Mouth Shapes for Sign Language. In: Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW) (2015)
2015
Cited alongside, same era.
Luong, M.T., Pham, H., Manning, C.D.: Effective Approaches to Attention-based Neural Machine Translation. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) (2015)
2015
Cited alongside, same era.
Camgoz, N.C., Hadfield, S., Koller, O., Bowden, R.: Using Convolutional 3D Neural Networks for User-Independent Continuous Gesture Recognition. In: Proceedings of the IEEE International Conference on Pattern Recognition Workshops (ICPRW) (2016)
2016
Cited alongside, same era.
Koller, O., Ney, H., Bowden, R.: Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
2016
Cited alongside, same era.
Huang, J., Zhou, W., Zhang, Q., Li, H., Li, W.: Video-based Sign Language Recognition without Temporal Segmentation. In: Proceedings of the AAAI Conference on Artificial Intelligence (2018)
2018
Later among the works it cites.
Malaia, E., Borneman, J.D., Wilbur, R.B.: Information Transfer Capacity of Articulators in American Sign Language. Language and Speech
2018
Later among the works it cites.
2018
Later among the works it cites.
Wang, S., Guo, D., Zhou, W.g., Zha, Z.J., Wang, M.: Connectionist Temporal Fusion for Sign Language Translation. In: Proceedings of the ACM International Conference on Multimedia (2018)
2018
Later among the works it cites.
Yang, Z., Dai, Z., Salakhutdinov, R., Cohen, W.W.: Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. In: Proceedings of the International Conference on Learning Representations (ICLR) (2018)
2018
Later among the works it cites.
Bragg, D., Koller, O., Bellard, M., Berke, L., Boudrealt, P., Braffort, A., Caselli, N., Huenerfauth, M., Kacorri, H., Verhoef, T., Vogler, C., Morris, M.R.: Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective. In: Proceedings of the International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) (2019)
2019
Later among the works it cites.
Brentari, D.: Sign Language Phonology. Cambridge University Press (2019)
2019
Later among the works it cites.
Cao, Z., Hidalgo, G.M., Simon, T., Wei, S., Sheikh, Y.: OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2019)
2019
Later among the works it cites.
Cui, R., Liu, H., Zhang, C.: A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training. IEEE Transactions on Multimedia (2019)
2019
Later among the works it cites.
Guo, D., Wang, S., Tian, Q., Wang, M.: Dense Temporal Convolution Network for Sign Language Translation. In: Proceedings of the AAAI Conference on Artificial Intelligence (2019)
2019
Later among the works it cites.
Hidalgo, G., Raaj, Y., Idrees, H., Xiang, D., Joo, H., Simon, T., Sheikh, Y.: Single-Network Whole-Body Pose Estimation. In: IEEE International Conference on Computer Vision (ICCV) (2019)
2019
Later among the works it cites.
Ko, S.K., Kim, C.J., Jung, H., Cho, C.: Neural Sign Language Translation based on Human Keypoint Estimation. Applied Sciences
2019
Later among the works it cites.
Koller, O., Camgoz, N.C., Bowden, R., Ney, H.: Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2019)
2019
Later among the works it cites.
Kreutzer, J., Bastings, J., Riezler, S.: Joey NMT: A minimalist NMT toolkit for novices. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP): System Demonstrations (2019)
2019
Later among the works it cites.
Zelinka, J., Kanis, J., Salajka, P.: NN-Based Czech Sign Language Synthesis. In: International Conference on Speech and Computer (2019)
2019
Later among the works it cites.
Camgoz, N.C., Hadfield, S., Koller, O., Bowden, R.: Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
2020
Closest in time.
2020
Closest in time.