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Sign language recognition (SLR) is a weakly supervised task that annotates sign videos as textual glosses.
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber · 2006
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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
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Stochastic backpropagation and approximate inference in deep generative models
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra · 2014
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Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers
Oscar Koller, Jens Forster, and Hermann Ney · 2015
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Fast sign language recognition benefited from low rank approximation
Hanjie Wang, Xiujuan Chai, Yu Zhou, and Xilin Chen · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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3d hand gesture coding for sign language learning
Yi Ji, Chunping Liu, Shengrong Gong, and Weidong Cheng · 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
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Subunets: End-to-end hand shape and continuous sign language recognition
Necati Cihan Camgoz, Simon Hadfield, Oscar Koller, and Richard Bowden · 2017
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Recurrent convolutional neural networks for continuous sign language recognition by staged optimization
Runpeng Cui, Hu Liu, and Changshui Zhang · 2017
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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
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 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
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Neural sign language translation
Necati Cihan Camgoz, Simon Hadfield, Oscar Koller, Hermann Ney, and Richard Bowden · 2018
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3d convolutional neural networks for dynamic sign language recognition
Zhi-jie Liang, Sheng-bin Liao, and Bing-zhang Hu · 2018
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Fixing weight decay regularization in adam
Ilya Loshchilov and Frank Hutter · 2018
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Sign language recognition in complex background scene based on adaptive skin colour modelling and support vector machine
Tse-Yu Pan, Li-Yun Lo, Chung-Wei Yeh, Jhe-Wei Li, Hou-Tim Liu, and Min-Chun Hu · 2018
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A deep neural framework for continuous sign language recognition by iterative training
Runpeng Cui, Hu Liu, and Changshui Zhang · 2019
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Spatial-temporal graph convolutional networks for sign language recognition
Cleison Correia de Amorim, David Macêdo, and Cleber Zanchettin · 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
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Fuzzy slic: Fuzzy simple linear iterative clustering
Chong Wu, Jiangbin Zheng, Zhenan Feng, Houwang Zhang, Le Zhang, Jiawang Cao, and Hong Yan · 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
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Spatial-temporal multi-cue network for continuous sign language recognition
Hao Zhou, Wengang Zhou, Yun Zhou, and Houqiang Li · 2020
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Self-mutual distillation learning for continuous sign language recognition
Aiming Hao, Yuecong Min, and Xilin Chen · 2021
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Visual alignment constraint for continuous sign language recognition
Yuecong Min, Aiming Hao, Xiujuan Chai, and Xilin Chen · 2021
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Oscar Koller, Necati Cihan Camgoz, Hermann Ney, and Richard Bowden · 2019
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Iterative alignment network for continuous sign language recognition
Junfu Pu, Wengang Zhou, and Houqiang Li · 2019
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Dynamic pseudo label decoding for continuous sign language recognition
Hao Zhou, Wengang Zhou, and Houqiang Li · 2019
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Sign language transformers: Joint end-to-end sign language recognition and translation
Necati Cihan Camgoz, Oscar Koller, Simon Hadfield, and Richard Bowden · 2020
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Unsupervised learning of visual features by contrasting cluster assignments
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin · 2020
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Big self-supervised models are strong semi-supervised learners
Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, and Geoffrey E Hinton · 2020
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Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Co-learning: Learning from noisy labels with self-supervision
Cheng Tan, Jun Xia, Lirong Wu, and Stan Z Li · 2021
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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
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Beit: Bert pre-training of image transformers
Hangbo Bao, Li Dong, and Furu Wei · 2022
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A simple multi-modality transfer learning baseline for sign language translation
Yutong Chen, Fangyun Wei, Xiao Sun, Zhirong Wu, and Stephen Lin · 2022
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Simvp: Simpler yet better video prediction
Zhangyang Gao, Cheng Tan, Lirong Wu, and Stan Z Li · 2022
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Efficient multi-order gated aggregation network
Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, and Stan Z Li · 2022
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Temporal attention unit: Towards efficient spatiotemporal predictive learning
Cheng Tan, Zhangyang Gao, Siyuan Li, Yongjie Xu, and Stan Z Li · 2022
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Leveraging graph-based cross-modal information fusion for neural sign language translation
Jiangbin Zheng, Siyuan Li, Cheng Tan, Chong Wu, Yidong Chen, and Stan Z Li · 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 Z Li · 2022
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C2slr: Consistency-enhanced continuous sign language recognition
Ronglai Zuo and Brian Mak · 2022
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