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Sign Language (SL), as the mother tongue of the deaf community, is a special visual language that most hearing people cannot understand.
Neural sign language translation by learning tokenization
Alptekin Orbay and Lale Akarun. 2020 · 2002
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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A chinese sign language recognition system based on sofm/srn/hmm
Wen Gao, Gaolin Fang, Debin Zhao, and Yiqiang Chen. 2004 · 2004
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Large-vocabulary continuous sign language recognition based on transition-movement models
Gaolin Fang, Wen Gao, and Debin Zhao. 2006 · 2006
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Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber. 2006 · 2006
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A novel graph-based multi-modal fusion encoder for neural machine translation
Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou, and Jiebo Luo. 2020 · 2007
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Chinese sign language recognition based on gray-level co-occurrence matrix and other multi-features fusion
Jinye Peng, Li Yulong, et al. 2009 · 2009
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio. 2010 · 2010
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton. 2010 · 2010
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy. 2015 · 2015
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Effective approaches to attention-based neural machine translation
Minh-Thang Luong, Hieu Pham, and Christopher D Manning. 2015 · 2015
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Fast sign language recognition benefited from low rank approximation
Hanjie Wang, Xiujuan Chai, Yu Zhou, and Xilin Chen. 2015 · 2015
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. 2016 · 2016
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3d hand gesture coding for sign language learning
Yi Ji, Chunping Liu, Shengrong Gong, and Weidong Cheng. 2016 · 2016
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Isolated sign language recognition with grassmann covariance matrices
Hanjie Wang, Xiujuan Chai, Xiaopeng Hong, Guoying Zhao, and Xilin Chen. 2016 · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al. 2016 · 2016
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Chinese sign language recognition with adaptive hmm
Jihai Zhang, Wengang Zhou, Chao Xie, Junfu Pu, and Houqiang Li. 2016 · 2016
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Re-sign: Re-aligned end-to-end sequence modelling with deep recurrent cnn-hmms
Oscar Koller, Sepehr Zargaran, and Hermann Ney. 2017 · 2017
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Spatial-temporal graph convolutional networks for sign language recognition
Cleison Correia de Amorim, David Macêdo, and Cleber Zanchettin. 2019 · 2019
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Dense temporal convolution network for sign language translation
Dan Guo, Shuo Wang, Qi Tian, and Meng Wang. 2019 · 2019
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Technical approaches to chinese sign language processing: a review
Suhail Muhammad Kamal, Yidong Chen, Shaozi Li, Xiaodong Shi, and Jiangbin Zheng. 2019 · 2019
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Neural sign language translation based on human keypoint estimation
Sang-Ki Ko, Chang Jo Kim, Hyedong Jung, and Choongsang Cho. 2019 · 2019
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Weakly supervised learning with multi-stream cnn-lstm-hmms to discover sequential parallelism in sign language videos
Oscar Koller, Necati Cihan Camgoz, Hermann Ney, and Richard Bowden. 2019 · 2019
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
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Tips and tricks for visual question answering: Learnings from the 2017 challenge
Damien Teney, Peter Anderson, Xiaodong He, and Anton Van Den Hengel. 2018 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Towards chinese sign language recognition using surface electromyography and accelerometers
Yongjie Zhuang, Bo Lv, Xinjun Sheng, and Xiangyang Zhu. 2017 · 2017
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Neural sign language translation
Necati Cihan Camgoz, Simon Hadfield, Oscar Koller, Hermann Ney, and Richard Bowden. 2018 · 2018
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A novel chinese sign language recognition method based on keyframe-centered clips
Shiliang Huang, Chensi Mao, Jinxu Tao, and Zhongfu Ye. 2018 · 2018
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Jin-Hwa Kim, Jaehyun Jun, and Byoung-Tak Zhang. 2018 · 2018
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Iterative alignment network for continuous sign language recognition
Junfu Pu, Wengang Zhou, and Houqiang Li. 2019 · 2019
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Fully convolutional networks for continuous sign language recognition
Ka Leong Cheng, Zhaoyang Yang, Qifeng Chen, and Yu-Wing Tai. 2020 · 2020
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Stochastic fine-grained labeling of multi-state sign glosses for continuous sign language recognition
Zhe Niu and Brian Mak. 2020 · 2020
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An improved sign language translation model with explainable adaptations for processing long sign sentences
Jiangbin Zheng, Zheng Zhao, Min Chen, Jing Chen, Chong Wu, Yidong Chen, Xiaodong Shi, and Yiqi Tong. 2020 · 2020
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Spatial-temporal multi-cue network for continuous sign language recognition
Hao Zhou, Wengang Zhou, Yun Zhou, and Houqiang Li. 2020 · 2020
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Enhancing neural sign language translation by highlighting the facial expression information
Jiangbin Zheng, Yidong Chen, Chong Wu, Xiaodong Shi, and Suhail Muhammad Kamal. 2021 · 2021
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Star topology convolution for graph representation learning
Chong Wu, Zhenan Feng, Jiangbin Zheng, Houwang Zhang, Jiawang Cao, and Hong Yan. 2022 · 2022
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Towards effective and generalizable fine-tuning for pre-trained molecular graph models
Jun Xia, Jiangbin Zheng, Cheng Tan, Ge Wang, and Stan Z Li. 2022 · 2022
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Using context-to-vector with graph retrofitting to improve word embeddings
Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, and Stan Li. 2022 · 2022
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