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Continuous sign language recognition (SLR) aims to translate a signing sequence into a sentence.
Automatic sign language analysis: A survey and the future beyond lexical meaning
S. C. Ong and S. Ranganath · 2005
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Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks
A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber · 2006
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3d convolutional neural networks for human action recognition
S. Ji, W. Xu, M. Yang, and K. Yu · 2013
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Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio · 2014
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Sequence to sequence learning with neural networks
I. Sutskever, O. Vinyals, and Q. V. Le · 2014
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Translating videos to natural language using deep recurrent neural networks
S. Venugopalan, H. Xu, J. Donahue, M. Rohrbach, R. Mooney, and K. Saenko · 2014
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A threshold-based hmm-dtw approach for continuous sign language recognition
J. Zhang, W. Zhou, and H. Li · 2014
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
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Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers
O. Koller, J. Forster, and H. Ney · 2015
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Deep learning
Y. LeCun, Y. Bengio, and G. Hinton · 2015
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Effective approaches to attention-based neural machine translation
M.-T. Luong, H. Pham, and C. D. Manning · 2015
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Hand gesture recognition with 3d convolutional neural networks
P. Molchanov, S. Gupta, K. Kim, and J. Kautz · 2015
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Vision based hand gesture recognition for human computer interaction: A survey
S. S. Rautaray and A. Agrawal · 2015
Cited alongside, same era.
Sequence to sequence-video to text
S. Venugopalan, M. Rohrbach, J. Donahue, R. Mooney, T. Darrell, and K. Saenko · 2015
Cited alongside, same era.
Describing videos by exploiting temporal structure
L. Yao, A. Torabi, K. Cho, N. Ballas, C. Pal, H. Larochelle, and A. Courville · 2015
Cited alongside, same era.
Deep speech 2: End-to-end speech recognition in english and mandarin
D. Amodei, S. Ananthanarayanan, R. Anubhai, J. Bai, E. Battenberg, C. Case, J. Casper, B. Catanzaro, Q. Cheng, G. Chen, et al · 2016
Cited alongside, same era.
Bidirectional decoder networks for attention-based end-to-end offline handwriting recognition
P. Doetsch, A. Zeyer, and H. Ney · 2016
Cited alongside, same era.
Sign language recognition based on adaptive hmms with data augmentation
Subunets: End-to-end hand shape and continuous sign language recognition
N. C. Camgoz, S. Hadfield, O. Koller, and R. Bowden · 2017
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Recurrent convolutional neural networks for continuous sign language recognition by staged optimization
R. Cui, H. Liu, and C. Zhang · 2017
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Re-sign: Re-aligned end-to-end sequence modelling with deep recurrent cnn-hmms
O. Koller, S. Zargaran, and H. Ney · 2017
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Less is more: Picking informative frames for video captioning
Y. Chen, S. Wang, W. Zhang, and Q. Huang · 2018
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State-of-the-art speech recognition with sequence-to-sequence models
C.-C. Chiu, T. N. Sainath, Y. Wu, R. Prabhavalkar, P. Nguyen, Z. Chen, A. Kannan, R. J. Weiss, K. Rao, E. Gonina, et al · 2018
Later among the works it cites.
Neural sign language translation
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D. Guo, W. Zhou, M. Wang, and H. Li · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Deep hand: How to train a cnn on 1 million hand images when your data is continuous and weakly labelled
O. Koller, H. Ney, and R. Bowden · 2016
Cited alongside, same era.
Deep sign: Hybrid cnn-hmm for continuous sign language recognition
O. Koller, O. Zargaran, H. Ney, and R. Bowden · 2016
Cited alongside, same era.
Sign language recognition with long short-term memory
T. Liu, W. Zhou, and H. Li · 2016
Cited alongside, same era.
Jointly modeling embedding and translation to bridge video and language
Y. Pan, T. Mei, T. Yao, H. Li, and Y. Rui · 2016
Cited alongside, same era.
Handwriting recognition with large multidimensional long short-term memory recurrent neural networks
P. Voigtlaender, P. Doetsch, and H. Ney · 2016
Cited alongside, same era.
N. Cihan Camgoz, S. Hadfield, O. Koller, H. Ney, and R. Bowden · 2018
Later among the works it cites.
Slowfast networks for video recognition
C. Feichtenhofer, H. Fan, J. Malik, and K. He · 2018
Later among the works it cites.
Online early-late fusion based on adaptive hmm for sign language recognition
D. Guo, W. Zhou, H. Li, and M. Wang · 2018
Later among the works it cites.
Video-based sign language recognition without temporal segmentation
J. Huang, W. Zhou, Q. Zhang, H. Li, and W. Li · 2018
Later among the works it cites.
A closer look at spatiotemporal convolutions for action recognition
D. Tran, H. Wang, L. Torresani, J. Ray, Y. LeCun, and M. Paluri · 2018
Later among the works it cites.
Reconstruction network for video captioning
B. Wang, L. Ma, W. Zhang, and W. Liu · 2018
Later among the works it cites.
Mict: Mixed 3d/2d convolutional tube for human action recognition
Y. Zhou, X. Sun, Z.-J. Zha, and W. Zeng · 2018
Later among the works it cites.
Iterative alignment network for continuous sign language recognition
J. Pu, W. Zhou, and H. Li · 2019
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