Fetching the paper…
Reading the bibliography…
Automating sign language translation (SLT) is a challenging real world application.
Handshapes and movements: Multiple-channel american sign language recognition
Christian Vogler and Dimitris Metaxas · 2004
Earlier work this paper cites.
Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber · 2006
Earlier work this paper cites.
Detecting coarticulation in sign language using conditional random fields
Ruiduo Yang and S. Sarkar · 2006
Earlier work this paper cites.
Sign language recognition by combining statistical dtw and independent classification
Jeroen F Lichtenauer, Emile A Hendriks, and Marcel J T Reinders · 2008
Earlier work this paper cites.
Ieee standard for floating-point arithmetic
More Sites · 2008
Earlier work this paper cites.
A unified framework for gesture recognition and spatiotemporal gesture segmentation
Jonathan Alon, Vassilis Athitsos, Quan Yuan, and Stan Sclaroff · 2009
Earlier work this paper cites.
Robust sequential data modeling using an outlier tolerant hidden markov model
Sotirios P Chatzis, Dimitrios I Kosmopoulos, and Theodora A Varvarigou · 2009
Earlier work this paper cites.
Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
Earlier work this paper cites.
Robust sign language recognition with hierarchical conditional random fields
H. Yang and S. Lee · 2010
Earlier work this paper cites.
Sign language recognition using kinect
Simon Lang, Marco Block, and Raúl Rojas · 2012
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Earlier work this paper cites.
Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers
Oscar Koller, Jens Forster, and Hermann Ney · 2015
Earlier work this paper cites.
Effective approaches to attention-based neural machine translation, 2015
Minh-Thang Luong, Hieu Pham, and Christopher D. Manning · 2015
Cited alongside, same era.
Sign language recognition using convolutional neural networks
Lionel Pigou, Sander Dieleman, Pieter-Jan Kindermans, and Benjamin Schrauwen · 2015
Cited alongside, same era.
Online detection and classification of dynamic hand gestures with recurrent 3d convolutional neural networks
P. Molchanov, X. Yang, S. Gupta, K. Kim, S. Tyree, and J. Kautz · 2016
Cited alongside, same era.
Moddrop: Adaptive multi-modal gesture recognition
N. Neverova, C. Wolf, G. Taylor, and F. Nebout · 2016
Cited alongside, same era.
Recurrent convolutional neural networks for continuous sign language recognition by staged optimization
R. Cui, H. Liu, and C. Zhang · 2017
Cited alongside, same era.
Categorical reparameterization with gumbel-softmax, 2017
Joey NMT: A minimalist NMT toolkit for novices
Julia Kreutzer, Jasmijn Bastings, and Stefan Riezler · 2019
Later among the works it cites.
Nonparametric bayesian deep networks with local competition
Konstantinos Panousis, Sotirios Chatzis, and Sergios Theodoridis · 2019
Later among the works it cites.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Later among the works it cites.
Understanding vision-based continuous sign language recognition
Neena Aloysius and M. Geetha · 2020
Later among the works it cites.
Multi-channel transformers for multi-articulatory sign language translation
Necati Cihan Camgöz, Oscar Koller, Simon Hadfield, and Richard Bowden · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Eric Jang, Shixiang Gu, and Ben Poole · 2017
Cited alongside, same era.
Re-sign: Re-aligned end-to-end sequence modelling with deep recurrent cnn-hmms
O. Koller, S. Zargaran, and H. Ney · 2017
Cited alongside, same era.
Bayesian compression for deep learning, 2017
Christos Louizos, Karen Ullrich, and Max Welling · 2017
Cited alongside, same era.
The concrete distribution: A continuous relaxation of discrete random variables
Chris J. Maddison, Andriy Mnih, and Yee Whye Teh · 2017
Cited alongside, same era.
SignGram Blueprint
Josep Quer, Carlo Cecchetto, Caterina Donati, Carlo Geraci, Meltem Kelepir, Roland Pfau, and Markus Steinbach, editors · 2017
Cited alongside, same era.
Inception-v4, inception-resnet and the impact of residual connections on learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander Alemi · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Sign language transformers: Joint end-to-end sign language recognition and translation
Necati Cihan Camgöz, Oscar Koller, Simon Hadfield, and Richard Bowden · 2020
Later among the works it cites.
Oscar Koller · 2020
Later among the works it cites.
Weakly supervised learning with multi-stream cnn-lstm-hmms to discover sequential parallelism in sign language videos
O. Koller, N. C. Camgoz, H. Ney, and R. Bowden · 2020
Later among the works it cites.
Neural sign language translation by learning tokenization
A. Orbay and L. Akarun · 2020
Later among the works it cites.
Variational bayesian sequence-to-sequence networks for memory-efficient sign language translation
Harris Partaourides, Andreas Voskou, Dimitrios Kosmopoulos, Sotirios Chatzis, and Dimitris N Metaxas · 2020
Later among the works it cites.
Better sign language translation with STMC-transformer
Kayo Yin and Jesse Read · 2020
Later among the works it cites.
Spatial-temporal multi-cue network for continuous sign language recognition
Hao Zhou, Wengang Zhou, Yun Zhou, and Houqiang Li · 2020
Later among the works it cites.