SLRPapers
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papers on sign language recognition and related fields
SLRPapers
papers on sign language recognition and related fields
Table of Content
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Papers
- HMM
- CNN+RNN
- 3D CNN
- GCN
- Others
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Datasets
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Related Fields
- Action Recognition
- Speech Recognition
- Video Captioning
Papers
HMM
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Online Early-Late Fusion Based on Adaptive HMM for Sign Language Recognition
TOMM2017
paper code -
Chinese sign language recognition with adaptive HMM
ICME2016
paper code -
Sign language recognition based on adaptive HMMS with data augmentation
ICIP2016
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Continuous sign language recognition using level building based on fast hidden Markov model
Pattern Recognit.Lett.2016
paper code -
Sign Transition Modeling and a Scalable Solution to Continuous Sign Language Recognition for Real-World Applications
TACCESS2016
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A Threshold-based HMM-DTW Approach for Continuous Sign Language Recognition
ICIMCS2014
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Improving Continuous Sign Language Recognition: Speech Recognition Techniques and System Design
SLPAT2013
paper code -
Using Viseme Recognition to Improve a Sign Language Translation System
IWSLT2013
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Advances in phonetics-based sub-unit modeling for transcription alignment and sign language recognition
CVPRW2011
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Speech Recognition Techniques for a Sign Language Recognition System
INTERSPEECH2007
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Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models
TSMC2007
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Real-time American sign language recognition using desk and wearable computer based video
TPAMI1998
paper code
CNN+RNN
CNN includes 2D CNN and 3D CNN, and RNN includes LSTM and BLSTM.
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SF-Net: Structured Feature Network for Continuous Sign Language Recognition
ArXiv2019
paper code -
Iterative Alignment Network for Continuous Sign Language
CVPR2019
paper code -
Fingerspelling recognition in the wild with iterative visual attention
ICCV2019
paper code -
Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?
BMVC2019
paper code -
Sign Language Recognition Analysis using Multimodal Data
DSAA2019
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Dynamic Sign Language Recognition Based on Video Sequence With BLSTM-3D Residual Networks
ACCESS2019
paper code -
Attention in Convolutional LSTM for Gesture Recognition
NIPS2018
paper code -
Hierarchical LSTM for Sign Language Translation
AAAI2018
paper code -
Neural Sign Language Translation
CVPR2018
paper code -
SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition
ICCV2017
paper code -
Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization
CVPR2017
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Learning Spatiotemporal Features Using 3DCNN and Convolutional LSTM for Gesture Recognition
ICCV2017
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Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
CVPR2016
paper code
3D CNN
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Dense Temporal Convolution Network for Sign Language Translation
IJCAI2019
paper code -
Thai Sign Language Recognition Using 3D Convolutional Neural Networks
ICCCM2019
paper code -
Video-based sign language recognition without temporal segmentation
AAAI2018
paper code -
Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition
ICPR2016
paper code -
Hand Gesture Recognition with 3D Convolutional Neural Networks
CVPRW2015
paper code -
Sign Language Recognition using 3D convolutional neural networks
ICME2015
paper code
GCN
Others
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Sign Language Translation with Transformers
ArXiv2020
paper code -
Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
ArXiv2020
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Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
WACV2020
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Human-like sign-language learning method using deep learning
ETRI2018
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Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs
CVPR2017
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Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled
CVPR2016
paper code -
Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition
BMVC2016
paper code -
SIGN LANGUAGE RECOGNITION WITH LONG SHORT-TERM MEMORY
ICIP2016
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Iterative Reference Driven Metric Learning for Signer Independent Isolated Sign Language Recognition.
ECCV2016
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Automatic Alignment of HamNoSys Subunits for Continuous Sign Language Recognition
LREC2016
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Curve Matching from the View of Manifold for Sign Language Recognition
ACCV2014
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Sign Language Recognition and Translation with Kinect
AFGR2013
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Large-scale Learning of Sign Language by Watching TV (Using Cooccurrences).
BMVC2013
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Sign Language Recognition using Sequential Pattern Trees
CVPR2012
paper code -
Sign language recognition using sub-units
JMLR2012
paper code -
American Sign Language word recognition with a sensory glove using artificial neural networks
Eng.Appl.Artif.Intell.2011
paper code -
Learning sign language by watching TV (using weakly aligned subtitles)
CVPR2009
paper code
Datasets
Dataset | Language | Classes | Samples | Data Type | Language Level |
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CSL Dataset I | Chinese | 500 | 125,000 | Videos&Depth from Kinect | isolated |
CSL Dataset II | Chinese | 100 | 25,000 | Videos&Depth from Kinect | continuous |
RWTH-PHOENIX-Weather 2014 | German | 1,081 | 6,841 | Videos | continuous |
RWTH-PHOENIX-Weather 2014 T | German | 1,066 | 8,257 | Videos | continuous |
ASLLVD | American | 3,300 | 9,800 | Videos(multiple angles) | isolated |
ASLLVD-Skeleton | American | 3,300 | 9,800 | Skeleton | isolated |
SIGNUM | German | 450 | 33,210 | Videos | continuous |
DGS Kinect 40 | German | 40 | 3,000 | Videos(multiple angles) | isolated |
DEVISIGN-G | Chinese | 36 | 432 | Videos | isolated |
DEVISIGN-D | Chinese | 500 | 6,000 | Videos | isolated |
DEVISIGN-L | Chinese | 2000 | 24,000 | Videos | isolated |
LSA64 | Argentinian | 64 | 3,200 | Videos | isolated |
GSL isol. | Greek | 310 | 40,785 | Videos&Depth from RealSense | isolated |
GSL SD | Greek | 310 | 10,290 | Videos&Depth from RealSense | continuous |
GSL SI | Greek | 310 | 10,290 | Videos&Depth from RealSense | continuous |
IIITA -ROBITA | Indian | 23 | 605 | Videos | isolated |
PSL Kinect | Polish | 30 | 300 | Videos&Depth from Kinect | isolated |
PSL ToF | Polish | 84 | 1,680 | Videos&Depth from ToF camera | isolated |
BUHMAP-DB | Turkish | 8 | 440 | Videos | isolated |
LSE-Sign | Spanish | 2,400 | 2,400 | Videos | isolated |
Purdue RVL-SLLL | American | 39 | 546 | Videos | isolated |
RWTH-BOSTON-50 | American | 50 | 483 | Videos(multiple angles) | isolated |
RWTH-BOSTON-104 | American | 104 | 201 | Videos(multiple angles) | continuous |
RWTH-BOSTON-400 | American | 400 | 843 | Videos | continuous |
WLASL | American | 2,000 | 21,083 | Videos | isolated |
Related Fields
Action Recognition
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DistInit: Learning Video Representations Without a Single Labeled Video
ICCV2019
paper code -
SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition
ICCV2019
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Reasoning About Human-Object Interactions Through Dual Attention Networks
ICCV2019
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SlowFast Networks for Video Recognition
ICCV2019
paper code -
Video Classification with Channel-Separated Convolutional Networks
ICCV2019
paper code -
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
ICCV2019
paper code -
DynamoNet: Dynamic Action and Motion Network
ICCV2019
paper code -
Graph Convolutional Networks for Temporal Action Localization
ICCV2019
paper code -
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
CVPR2018
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A Closer Look at Spatiotemporal Convolutions for Action Recognition
CVPR2018
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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
AAAI2018
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Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation
IJCAI2018
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Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
CVPR2017
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Action Recognition using Visual Attention
ICLR2016
paper code -
Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
CVPR2015
paper code -
Two-Stream Convolutional Networks for Action Recognition in Videos
NIPS2014
paper code
Speech Recognition
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State-of-the-art Speech Recognition With Sequence-to-Sequence Models
ICASSP2018
paper code -
Lip Reading Sentences in the Wild
CVPR2017
paper code -
Listen, Attend and Spell
ICASSP2016
paper code -
Deep speech 2: End-to-end speech recognition in english and mandarin
ICML2016
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Attention-Based Models for Speech Recognition
NIPS2015
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Convolutional Neural Networks for Speech Recognition
TASLP2014
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Hybrid speech recognition with Deep Bidirectional LSTM
ASRU2013
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New types of deep neural network learning for speech recognition and related applications: an overview
ICASSP2013
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Speech Recognition with Deep Recurrent Neural Networks
ICASSP2013
paper code
Video Captioning
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Video Description A Survey of Methods, Datasets and Evaluation Metrics
ACM Computing Surveys2019
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Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
CVPR2019
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Reconstruction Network for Video Captioning
CVPR2018
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Multimodal Memory Modelling for Video Captioning
CVPR2018
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Interpretable Video Captioning via Trajectory Structured Localization
CVPR2018
paper code -
Video Captioning with Transferred Semantic Attributes
CVPR2017
paper code -
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
CVPR2016
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Jointly Modeling Embedding and Translation to Bridge Video and Language
CVPR2016
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Describing Videos by Exploiting Temporal Structure
ICCV2015
paper code