On the public citation graph
Iterative Alignment Network for Continuous Sign Language Recognition
0 signed · 315 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_19openalex-snapshot
Read My Lips: Continuous Signer Independent Weakly Supervised Viseme Recognition
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_27openalex-snapshot
Iterative Reference Driven Metric Learning for Signer Independent Isolated Sign Language Recognition
inferredcites →https://doi.org/10.1016/j.cviu.2015.09.013openalex-snapshot
Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers
inferredcites →https://doi.org/10.1016/j.neunet.2005.06.042openalex-snapshot
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
inferredcites →https://doi.org/10.1109/34.735811openalex-snapshot
Real-time American sign language recognition using desk and wearable computer based video
inferredcites →https://doi.org/10.1109/cvpr.2006.132openalex-snapshot
Hidden Conditional Random Fields for Gesture Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.412openalex-snapshot
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled
inferredcites →https://doi.org/10.1109/cvpr.2016.456openalex-snapshot
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.175openalex-snapshot
Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization
inferredcites →https://doi.org/10.1109/cvpr.2017.339openalex-snapshot
Hierarchical Boundary-Aware Neural Encoder for Video Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.364openalex-snapshot
Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs
inferredcites →https://doi.org/10.1109/cvpr.2017.502openalex-snapshot
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
inferredcites →https://doi.org/10.1109/cvpr.2018.00685openalex-snapshot
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
inferredcites →https://doi.org/10.1109/cvpr.2018.00812openalex-snapshot
Neural Sign Language Translation
inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot
Learning Spatiotemporal Features with 3D Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2015.515openalex-snapshot
Sequence to Sequence -- Video to Text
inferredcites →https://doi.org/10.1109/iccv.2017.332openalex-snapshot
SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition
inferredcites →https://doi.org/10.1109/iccv.2017.590openalex-snapshot
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
inferredcites →https://doi.org/10.1109/icme.2016.7552950openalex-snapshot
Chinese sign language recognition with adaptive HMM
inferredcites →https://doi.org/10.1109/tassp.1978.1163055openalex-snapshot
Dynamic programming algorithm optimization for spoken word recognition
inferredcites →https://doi.org/10.1109/tcsvt.2018.2870740openalex-snapshot
Attention-Based 3D-CNNs for Large-Vocabulary Sign Language Recognition
inferredcites →https://doi.org/10.1109/tpami.2008.137openalex-snapshot
A Novel Connectionist System for Unconstrained Handwriting Recognition
inferredcites →https://doi.org/10.1109/tpami.2012.59openalex-snapshot
3D Convolutional Neural Networks for Human Action Recognition
inferredcites →https://doi.org/10.1145/1143844.1143891openalex-snapshot
Connectionist temporal classification
inferredcites →https://doi.org/10.1145/3123266.3123299openalex-snapshot
3D CNNs on Distance Matrices for Human Action Recognition
inferredcites →https://doi.org/10.1145/3123266.3123420openalex-snapshot
Video Captioning with Guidance of Multimodal Latent Topics
inferredcites →https://doi.org/10.1145/3152121openalex-snapshot
Online Early-Late Fusion Based on Adaptive HMM for Sign Language Recognition
inferredcites →https://doi.org/10.1145/3240508.3240671openalex-snapshot
Connectionist Temporal Fusion for Sign Language Translation
inferredcites →https://doi.org/10.1609/aaai.v32i1.11903openalex-snapshot
Video-Based Sign Language Recognition Without Temporal Segmentation
inferredcites →https://doi.org/10.1609/aaai.v32i1.12235openalex-snapshot
Hierarchical LSTM for Sign Language Translation
inferredcites →https://doi.org/10.18653/v1/d15-1166openalex-snapshot
Effective Approaches to Attention-based Neural Machine Translation
inferredcites →https://doi.org/10.18653/v1/p17-1048openalex-snapshot
Joint CTC/attention decoding for end-to-end speech recognition
inferredcites →https://doi.org/10.24963/ijcai.2018/123openalex-snapshot
Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.3115/v1/w14-4012openalex-snapshot
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1502.03044openalex-snapshot
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
inferredcites →https://doi.org/10.48550/arxiv.1506.07503openalex-snapshot
Attention-Based Models for Speech Recognition
inferredcites →https://doi.org/10.5244/c.30.136openalex-snapshot
Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4201179openalex-extracted
Frame-Wise Graph Contextual Learning for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1002/cpe.8220openalex-snapshot
Adversarial autoencoder for continuous sign language recognition
inferred← citeshttps://doi.org/10.1002/cpe.8385openalex-snapshot
Advancing Continuous Sign Language Recognition Through Denoising Diffusion Transformer‐Based Spatial‐Temporal Enhancement
inferred← citeshttps://doi.org/10.1007/978-3-030-58517-4_11openalex-snapshot
Stochastic Fine-Grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1007/978-3-030-58586-0_41openalex-snapshot
Fully Convolutional Networks for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1007/978-3-030-81982-8_9openalex-snapshot
Visual Methods for Sign Language Recognition: A Modality-Based Review
inferred← citeshttps://doi.org/10.1007/978-3-030-96040-7_48openalex-snapshot
Sign Language Recognition System Using TensorFlow Object Detection API
inferred← citeshttps://doi.org/10.1007/978-3-031-19833-5_30openalex-snapshot
Temporal Lift Pooling for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1007/978-3-031-47362-3_7openalex-snapshot
Sign Languages as Source Language for Machine Translation: Historical Overview and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-031-50580-5_16openalex-snapshot
A Sign Language Recognition Based on Optimized Transformer Target Detection Model
inferred← citeshttps://doi.org/10.1007/978-3-031-72652-1_20openalex-snapshot
EvSign: Sign Language Recognition and Translation with Streaming Events
inferred← citeshttps://doi.org/10.1007/978-3-031-74183-8_25openalex-snapshot
Efficient Continuous Sign Language Recognition with Temporal Shift and Channel Attention
inferred← citeshttps://doi.org/10.1007/978-3-031-75957-4_22openalex-snapshot
Design and Creation of an App for Text and Voice Recognition System of Sign Language Using Deep Learning Technique - Sign Aloud
inferred← citeshttps://doi.org/10.1007/978-3-031-82386-2_10openalex-snapshot
Sign Language Recognition System for Seamless Human-AI Interaction
inferred← citeshttps://doi.org/10.1007/978-3-031-94898-5_24openalex-snapshot
Optimized Continuous Sign Language Recognition Through Dynamic Trajectory
inferred← citeshttps://doi.org/10.1007/978-3-032-30909-9_32openalex-snapshot
Emotion-Aware Sign Language Interfaces for Real Time Human-AI Interaction
inferred← citeshttps://doi.org/10.1007/978-3-032-31216-7_43openalex-snapshot
Neurosign: A Real-Time CNN and OpenCV-Based Platform for Gesture-to Language Translation and Interactive Sign Learning
inferred← citeshttps://doi.org/10.1007/978-981-92-2584-2_28openalex-snapshot
Motion-Gated Adaptive Filtering for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1007/978-981-96-0139-4_24openalex-snapshot
Generating Text Based on Sign Language Using CNN & TensorFlow
inferred← citeshttps://doi.org/10.1007/978-981-96-6963-9_12openalex-snapshot
Multi-temperature Progressive Self-distillation Algorithm for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1007/978-981-99-1435-7_1openalex-snapshot
An Approach for Sign Language Recognition with Deep Learning Algorithm
inferred← citeshttps://doi.org/10.1007/978-981-99-1645-0_12openalex-snapshot
Spatial-Temporal Graph Transformer for Skeleton-Based Sign Language Recognition
inferred← citeshttps://doi.org/10.1007/978-981-99-2742-5_24openalex-snapshot
SLRNetwork: Utilizing Skip Connections for Better Feature Extraction in Recognition of Sign Languages to Help Mutism
inferred← citeshttps://doi.org/10.1007/978-981-99-7022-3_2openalex-snapshot
Attention Auxiliary Supervision for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1007/978-981-99-8324-7_16openalex-snapshot
Deep Spatiotemporal Network Based Indian Sign Language Recognition from Videos
inferred← citeshttps://doi.org/10.1007/s00138-022-01367-xopenalex-snapshot
Aligning accumulative representations for sign language recognition
inferred← citeshttps://doi.org/10.1007/s00138-024-01595-3openalex-snapshot
Temporal superimposed crossover module for effective continuous sign language
inferred← citeshttps://doi.org/10.1007/s00371-023-02979-8openalex-snapshot
Difference-guided multi-scale spatial-temporal representation for sign language recognition
inferred← citeshttps://doi.org/10.1007/s00371-023-03211-3openalex-snapshot
KSRB-Net: a continuous sign language recognition deep learning strategy based on motion perception mechanism
inferred← citeshttps://doi.org/10.1007/s00371-024-03516-xopenalex-snapshot
Dual-stage temporal perception network for continuous sign language recognition
inferred← citeshttps://doi.org/10.1007/s00371-024-03643-5openalex-snapshot
Visual context learning based on cross-modal knowledge for continuous sign language recognition
inferred← citeshttps://doi.org/10.1007/s00521-021-06079-3openalex-snapshot
Advances in machine translation for sign language: approaches, limitations, and challenges
inferred← citeshttps://doi.org/10.1007/s00521-021-06467-9openalex-snapshot
(2+1)D-SLR: an efficient network for video sign language recognition
inferred← citeshttps://doi.org/10.1007/s00521-022-07415-xopenalex-snapshot
An approach based on 1D fully convolutional network for continuous sign language recognition and labeling
inferred← citeshttps://doi.org/10.1007/s00521-022-07804-2openalex-snapshot
Symmetric mean binary pattern-based Pakistan sign language recognition using multiclass support vector machines
inferred← citeshttps://doi.org/10.1007/s00521-024-09763-2openalex-snapshot
Sign language translation with hierarchical memorized context in question answering scenarios
inferred← citeshttps://doi.org/10.1007/s00521-025-11240-3openalex-snapshot
DSTEN-CSLR: dual spatial–temporal enhancement network for continuous sign language recognition
inferred← citeshttps://doi.org/10.1007/s00530-024-01505-7openalex-snapshot
Dynamical semantic enhancement network for continuous sign language recognition
inferred← citeshttps://doi.org/10.1007/s00530-025-01695-8openalex-snapshot
Rethinking the temporal downsampling paradigm for continuous sign language recognition
inferred← citeshttps://doi.org/10.1007/s00530-025-02100-0openalex-snapshot
Angle and graph topology enhanced framework with dual-channel mixed token progressing unit for sign language production
inferred← citeshttps://doi.org/10.1007/s10489-022-03407-5openalex-snapshot
Sign language recognition and translation network based on multi-view data
inferred← citeshttps://doi.org/10.1007/s10489-022-03649-3openalex-snapshot
Adversarial multi-task deep learning for signer-independent feature representation
inferred← citeshttps://doi.org/10.1007/s10791-025-09669-0openalex-snapshot
Cross-attention multi branch for Vietnamese sign language recognition: CrossViViT
inferred← citeshttps://doi.org/10.1007/s11042-022-12051-7openalex-snapshot
Efficient 3D CNNs with knowledge transfer for sign language recognition
inferred← citeshttps://doi.org/10.1007/s11042-022-14085-3openalex-snapshot
Continuous sign language recognition based on iterative alignment network and attention mechanism
inferred← citeshttps://doi.org/10.1007/s11042-022-14172-5openalex-snapshot
Residual spatial graph convolution and temporal sequence attention network for sign language translation
inferred← citeshttps://doi.org/10.1007/s11042-024-18443-1openalex-snapshot
Asymmetric multi-branch GCN for skeleton-based sign language recognition
inferred← citeshttps://doi.org/10.1007/s11042-025-20721-5openalex-snapshot
Continuous sign language recognition using intra-inter gloss attention
inferred← citeshttps://doi.org/10.1007/s11277-024-11356-0openalex-snapshot
Continuous Sign Language Recognition System Using Deep Learning with MediaPipe Holistic
inferred← citeshttps://doi.org/10.1007/s11390-024-2978-yopenalex-snapshot
Vision-Based Sign Language Translation via a Skeleton-Aware Neural Network
inferred← citeshttps://doi.org/10.1007/s11760-024-03718-9openalex-snapshot
Continuous sign language recognition enhanced by dynamic attention and maximum backtracking probability decoding
inferred← citeshttps://doi.org/10.1007/s11760-026-05506-zopenalex-snapshot
Entropy-regularized joint CTC–attention learning for low-resource continuous sign language recognition
inferred← citeshttps://doi.org/10.1007/s12559-023-10174-zopenalex-snapshot
Snapture—a Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition
inferred← citeshttps://doi.org/10.1007/s12559-023-10182-zopenalex-snapshot
Deep Learning-Based Sign Language Recognition System for Cognitive Development
inferred← citeshttps://doi.org/10.1007/s12626-025-00180-yopenalex-snapshot
A Critical Study of Recent Deep Learning-Based Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1007/s12652-021-03640-9openalex-snapshot
Sentence2SignGesture: a hybrid neural machine translation network for sign language video generation
inferred← citeshttps://doi.org/10.1007/s13369-020-04758-2openalex-snapshot
A Survey on Artificial Intelligence in Chinese Sign Language Recognition
inferred← citeshttps://doi.org/10.1007/s13369-024-09479-4openalex-snapshot
Continuous Sign Language Recognition Based on Cross-Resolution Knowledge Distillation
inferred← citeshttps://doi.org/10.1007/s13735-023-00302-8openalex-snapshot
Visual feature segmentation with reinforcement learning for continuous sign language recognition
inferred← citeshttps://doi.org/10.1007/s40593-024-00419-9openalex-snapshot
Inclusive Deaf Education Enabled by Artificial Intelligence: The Path to a Solution
inferred← citeshttps://doi.org/10.1007/s40747-025-02156-5openalex-snapshot
Motion-temporal calibration network for continuous sign language recognition
inferred← citeshttps://doi.org/10.1007/s42979-021-00485-zopenalex-snapshot
An Efficient Sign Language Recognition (SLR) System Using Camshift Tracker and Hidden Markov Model (HMM)
inferred← citeshttps://doi.org/10.1007/s42979-021-00627-3openalex-snapshot
Design and Development of a Humanoid Robot for Sign Language Interpretation
inferred← citeshttps://doi.org/10.1007/s44163-026-01466-yopenalex-snapshot
A textual-guided compact visual attention features for continuous sign language recognition
inferred← citeshttps://doi.org/10.1007/s44267-023-00028-5openalex-snapshot
Alleviating data insufficiency for Chinese sign language recognition
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109339openalex-snapshot
A sensing data and deep learning-based sign language recognition approach
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103285openalex-snapshot
Progressive multi-level learning for gloss-free sign language translation
inferred← citeshttps://doi.org/10.1016/j.engappai.2022.105198openalex-snapshot
A comprehensive survey and taxonomy of sign language research
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125492openalex-snapshot
A lightweight network-based sign language robot with facial mirroring and speech system
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126623openalex-snapshot
A structure-based disentangled network with contrastive regularization for sign language recognition
inferred← citeshttps://doi.org/10.1016/j.imavis.2026.106093openalex-snapshot
Explicitly modeling trajectories and correlations for video analysis
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103850openalex-snapshot
Structure-aware sign language recognition with spatial–temporal scene graph
inferred← citeshttps://doi.org/10.1016/j.iswa.2026.200723openalex-snapshot
Transformers for sign language processing: A survey of spatio-temporal modeling approaches, challenges, and research gaps
inferred← citeshttps://doi.org/10.1016/j.matpr.2022.03.011openalex-snapshot
Real time Indian sign language recognition system
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.08.079openalex-snapshot
Enhancing Neural Sign Language Translation by highlighting the facial expression information
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130077openalex-snapshot
Graph traverse reference network for sign language corpus retrieval in the wild
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109903openalex-snapshot
Scalable frame resolution for efficient continuous sign language recognition
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111716openalex-snapshot
CORE: Multi-link graph attention network with inter-regional collaboration for continuous sign language recognition
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111960openalex-snapshot
No blind alignment but generation: A different view of continuous sign language recognition based on diffusion
inferred← citeshttps://doi.org/10.1016/j.procs.2024.10.328openalex-snapshot
Quantitative analysis of sign language translation using artificial neural network model
inferred← citeshttps://doi.org/10.1049/cvi2.12240openalex-snapshot
Continuous sign language recognition based on hierarchical memory sequence network
inferred← citeshttps://doi.org/10.1049/ipr2.12618openalex-snapshot
A modified 3D EfficientNet for the classification of Alzheimer's disease using structural magnetic resonance images
inferred← citeshttps://doi.org/10.1080/01691864.2024.2442721openalex-snapshot
A review of deep learning-based approaches to sign language processing
inferred← citeshttps://doi.org/10.1109/access.2020.2993650openalex-snapshot
Continuous Sign Language Recognition Through Cross-Modal Alignment of Video and Text Embeddings in a Joint-Latent Space
inferred← citeshttps://doi.org/10.1109/access.2020.3028072openalex-snapshot
AUTSL: A Large Scale Multi-Modal Turkish Sign Language Dataset and Baseline Methods
inferred← citeshttps://doi.org/10.1109/access.2021.3110912openalex-snapshot
Deep Learning for Sign Language Recognition: Current Techniques, Benchmarks, and Open Issues
inferred← citeshttps://doi.org/10.1109/access.2021.3132668openalex-snapshot
SignBERT: A BERT-Based Deep Learning Framework for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/access.2022.3161440openalex-snapshot
Technological Solutions for Sign Language Recognition: A Scoping Review of Research Trends, Challenges, and Opportunities
inferred← citeshttps://doi.org/10.1109/access.2022.3212064openalex-snapshot
Research on Continuous Dynamic Gesture Recognition of Chinese Sign Language Based on Multi-Mode Fusion
inferred← citeshttps://doi.org/10.1109/access.2023.3332250openalex-snapshot
Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images
inferred← citeshttps://doi.org/10.1109/access.2024.3372425openalex-snapshot
Sign Language Recognition Using Graph and General Deep Neural Network Based on Large Scale Dataset
inferred← citeshttps://doi.org/10.1109/access.2024.3398806openalex-snapshot
Sign Language Recognition: A Comprehensive Review of Traditional and Deep Learning Approaches, Datasets, and Challenges
inferred← citeshttps://doi.org/10.1109/access.2024.3456436openalex-snapshot
A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities
inferred← citeshttps://doi.org/10.1109/access.2024.3494878openalex-snapshot
Word-Level Sign Language Recognition With Multi-Stream Neural Networks Focusing on Local Regions and Skeletal Information
inferred← citeshttps://doi.org/10.1109/access.2025.3526330openalex-snapshot
Continuous Sign Language Recognition With Multi-Scale Spatial-Temporal Feature Enhancement
inferred← citeshttps://doi.org/10.1109/access.2025.3554618openalex-snapshot
Toward Real-Time Recognition of Continuous Indian Sign Language: A Multi-Modal Approach Using RGB and Pose
inferred← citeshttps://doi.org/10.1109/access.2026.3665295openalex-snapshot
Improving Sign Language-Gloss Translations With Pretrained Models
inferred← citeshttps://doi.org/10.1109/aciiw57231.2022.10086026openalex-snapshot
SLRFormer: Continuous Sign Language Recognition Based on Vision Transformer
inferred← citeshttps://doi.org/10.1109/aimlsystems67835.2025.11330955openalex-snapshot
IsoSignVid2Aud: Sign Language Video to Audio Conversion Without Text Intermediaries
inferred← citeshttps://doi.org/10.1109/aisp61396.2024.10475205openalex-snapshot
A two-stage sign language recognition method focusing on the semantic features of label text
inferred← citeshttps://doi.org/10.1109/atc67618.2025.11268680openalex-snapshot
Enhanced Sign Language Transformers: Dataset-Specific Preprocessing and Pretrained Feature Extraction Backbone
inferred← citeshttps://doi.org/10.1109/bdicn58493.2023.00050openalex-snapshot
A Novel Effective Combinatorial Framework for Sign Language Translation
inferred← citeshttps://doi.org/10.1109/bigmm.2019.00027openalex-snapshot
Deep Grammatical Multi-classifier for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/cgip62525.2024.00014openalex-snapshot
Isolated Japanese Sign Language Recognition Based on Image Entropy Variation Rate and Score-Level Multi-Cue Fusion
inferred← citeshttps://doi.org/10.1109/chilecon66915.2025.11476146openalex-snapshot
Experiments on Automatic Alignment of Spoken Spanish and Uruguayan Sign Language Glosses
inferred← citeshttps://doi.org/10.1109/compsac61105.2024.00076openalex-snapshot
Progressive Sign Language Video Translation Model for Real-World Complex Background Environments
inferred← citeshttps://doi.org/10.1109/csci58124.2022.00256openalex-snapshot
Sentence-Level Sign Language Recognition Framework
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00137openalex-snapshot
Improving Sign Language Translation with Monolingual Data by Sign Back-Translation
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00506openalex-snapshot
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00507openalex-snapshot
C 2 SLR: Consistency-enhanced Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01370openalex-snapshot
Sign Language Video Retrieval with Free-Form Textual Queries
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00249openalex-snapshot
Continuous Sign Language Recognition with Correlation Network
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01037openalex-snapshot
Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.02216openalex-snapshot
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.00817openalex-snapshot
Lost in Translation, Found in Context: Sign Language Translation with Contextual Cues
inferred← citeshttps://doi.org/10.1109/cvprw53098.2021.00380openalex-snapshot
Skeleton Aware Multi-modal Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00393openalex-snapshot
Diffusion-Based Continuous Sign Language Generation with Cluster-Specific Fine-Tuning and Motion-Adapted Transformer
inferred← citeshttps://doi.org/10.1109/emergin67762.2025.11450837openalex-snapshot
Indian Sign Language Alphabet Recognition at the Gesture Level
inferred← citeshttps://doi.org/10.1109/fg52635.2021.9666939openalex-snapshot
Sign, Attend and Tell: Spatial Attention for Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/fg52635.2021.9667087openalex-snapshot
Content4All Open Research Sign Language Translation Datasets
inferred← citeshttps://doi.org/10.1109/fg57933.2023.10042720openalex-snapshot
ArabSign: A Multi-modality Dataset and Benchmark for Continuous Arabic Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/fg59268.2024.10581873openalex-snapshot
BTVSL: A Novel Sentence-Level Annotated Dataset for Bangla Sign Language Translation
inferred← citeshttps://doi.org/10.1109/fg61629.2025.11099259openalex-snapshot
Hand-Aware Masked Graph Convolutional Network for Skeleton-based Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/hdis56859.2022.9991447openalex-snapshot
Expanding Intra-class Difference and Boosting Frame-level Classification for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/i3ctcon68242.2026.11507889openalex-snapshot
AI-Based Real-Time Sign Language to Text Converter Using Vision Transformer
inferred← citeshttps://doi.org/10.1109/icac3n56670.2022.10074007openalex-snapshot
A Smart System for Sign Language Recognition using Machine Learning Models
inferred← citeshttps://doi.org/10.1109/icaict51780.2020.9333456openalex-snapshot
Classification of Sign Language Characters by Applying a Deep Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/icarc64760.2025.10963007openalex-snapshot
A Robust Vision-Based Dynamic Sign Language Recognition Using a Hybrid CNN-LSTM Model
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054678openalex-snapshot
Keyword Search for Sign Language
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746971openalex-snapshot
Spatio-Temporal Graph Convolutional Networks for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10445841openalex-snapshot
Slowfast Network for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095732openalex-snapshot
Self-Sufficient Framework for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463468openalex-snapshot
Dynamic Kalman Fusion for Robust Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/icbir61386.2024.10875921openalex-snapshot
Mixed-Features-Based Deep Learning Approach for Sign Language Classification
inferred← citeshttps://doi.org/10.1109/iccea62105.2024.10603746openalex-snapshot
A Brief Review of Sign Language Recognition Methods and Cutting-edge Technologies
inferred← citeshttps://doi.org/10.1109/iccica67008.2025.11337380openalex-snapshot
Dynamic Indian Sign Language Translation Using DNN in Real-Time
inferred← citeshttps://doi.org/10.1109/iccit51783.2020.9392703openalex-snapshot
Classification of American Sign Language by Applying a Transfer Learned Deep Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/iccmc56507.2023.10084111openalex-snapshot
A Extensive Survey on Sign Language Recognition Methods
inferred← citeshttps://doi.org/10.1109/iccrd56364.2023.10080216openalex-snapshot
Research on End-to-End Continuous Sign Language Sentence Recognition Based on Transformer
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01111openalex-snapshot
Self-Mutual Distillation Learning for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01134openalex-snapshot
Visual Alignment Constraint for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01429openalex-snapshot
Sign Language Translation with Iterative Prototype
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01890openalex-snapshot
CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01925openalex-snapshot
C2ST: Cross-modal Contextualized Sequence Transduction for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.02158openalex-snapshot
Improving Continuous Sign Language Recognition with Cross-Lingual Signs
inferred← citeshttps://doi.org/10.1109/iccvw60793.2023.00210openalex-snapshot
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse
inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00512openalex-snapshot
Iterative Latent Refinement for Robust Non-Autoregressive Sign Language Production
inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00515openalex-snapshot
A Closer Look at Skeleton-Based Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00520openalex-snapshot
SAGE: Segment-Aware Gloss-Free Encoding for Token-Efficient Sign Language Translation
inferred← citeshttps://doi.org/10.1109/icicsp62589.2024.10809054openalex-snapshot
DLSC-Net: Double Level Spatio-temporal Context-aware Network for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/icict68280.2026.11510897openalex-snapshot
CBAM-Enhanced MobileNetV2 with Keypoint Fusion for Real-Time Indian Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/icip.2019.8802972openalex-snapshot
Continuous Sign Language Recognition via Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/icip51287.2024.10648021openalex-snapshot
Exploring Attention Mechanisms in Integration of Multi-Modal Information for Sign Language Recognition and Translation
inferred← citeshttps://doi.org/10.1109/icme.2019.00223openalex-snapshot
Dynamic Pseudo Label Decoding for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/icme59968.2025.11209046openalex-snapshot
Hierarchical Sub-action Tree for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/icpeca53709.2022.9719010openalex-snapshot
Research on Optimizer Algorithm of Sign Language Recognition Model
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412364openalex-snapshot
Continuous Sign Language Recognition with Iterative Spatiotemporal Fine-tuning
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9413126openalex-snapshot
Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos
inferred← citeshttps://doi.org/10.1109/icsece58870.2023.10262879openalex-snapshot
Continuous Sign Language Recognition Based on I3D-TCP Network Structure
inferred← citeshttps://doi.org/10.1109/iicc69623.2026.11582727openalex-snapshot
Real-Time Egyptian Sign Language Gesture Recognition: A Comparative Deep Learning Approach
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9534003openalex-snapshot
Continuous Sign Language Recognition based on Multi-Part Skeleton Data
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651082openalex-snapshot
DPS-Net: Dual-Path Stimulation Network for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228105openalex-snapshot
Dynamic Multi-Scale Spatial-Motion Feature Learning for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/indicon68490.2025.11392980openalex-snapshot
Deep Learning-Based Sign Language Communication System with Multi-Language Support
inferred← citeshttps://doi.org/10.1109/isctt51595.2020.00093openalex-snapshot
Data Augmentation and Deep Learning Modeling Methods on Edge-Device-Based Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/ivcnz67716.2025.11281818openalex-snapshot
STMixer: Spatial-Temporal Mixer for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/lsp.2022.3199665openalex-snapshot
A Cross-Attention BERT-Based Framework for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/ojcs.2025.3564828openalex-snapshot
Optimized Multi-Modal Conformer-Based Framework for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/prai59366.2023.10332074openalex-snapshot
Continuous Sign Language Recognition Method Based on ECA and Time Attention Mechanism
inferred← citeshttps://doi.org/10.1109/secon48991.2020.9158441openalex-snapshot
Expressive ASL Recognition using Millimeter-wave Wireless Signals
inferred← citeshttps://doi.org/10.1109/smartiot70864.2026.00025openalex-snapshot
TPA-Seq2Seq: Tri-Prior Aligned Sequence-to-Sequence Learning for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/smc52423.2021.9659090openalex-snapshot
CRB-Net: A Sign Language Recognition Deep Learning Strategy Based on Multi-modal Fusion with Attention Mechanism
inferred← citeshttps://doi.org/10.1109/smc53654.2022.9945287openalex-snapshot
A Modified LSTM Model for Chinese Sign Language Recognition Using Leap Motion
inferred← citeshttps://doi.org/10.1109/smc54092.2024.10831194openalex-snapshot
Sign Language Recognition and Translation Methods Promote Sign Language Education: A Review
inferred← citeshttps://doi.org/10.1109/smc58881.2025.11342933openalex-snapshot
SignRobot: Sign Language Recognition for Robot Interaction Based on Dual-Stream Multi-Fusion with Frame Enhancement Network
inferred← citeshttps://doi.org/10.1109/sr.2025.3567259openalex-snapshot
Exploring Sensor Fusion Techniques for Enhanced Dynamic Hand Gesture Recognition: A Comprehensive Metadata Analysis
inferred← citeshttps://doi.org/10.1109/tai.2025.3646146openalex-snapshot
ConSignformer: Conformer-Based Framework for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/tce.2023.3342163openalex-snapshot
Continuous Sign Language Recognition for Hearing-Impaired Consumer Communication via Self-Guidance Network
inferred← citeshttps://doi.org/10.1109/tcsvt.2020.2999384openalex-snapshot
Semantic Boundary Detection With Reinforcement Learning for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3296668openalex-snapshot
Spatial–Temporal Enhanced Network for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3572520openalex-snapshot
Boundary-Aware Sentence-Gloss Alignment With Semantic Similarity Measurement for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/tetci.2024.3378649openalex-snapshot
Spatial Temporal Aggregation for Efficient Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/tip.2024.3404869openalex-snapshot
Gloss Prior Guided Visual Feature Learning for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/tmi.2024.3447214openalex-snapshot
Unsupervised Non-Rigid Histological Image Registration Guided by Keypoint Correspondences Based on Learnable Deep Features With Iterative Training
inferred← citeshttps://doi.org/10.1109/tmm.2021.3059098openalex-snapshot
Spatial-Temporal Multi-Cue Network for Sign Language Recognition and Translation
inferred← citeshttps://doi.org/10.1109/tmm.2021.3070438openalex-snapshot
A Comprehensive Study on Deep Learning-Based Methods for Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/tmm.2021.3087006openalex-snapshot
Conditional Sentence Generation and Cross-Modal Reranking for Sign Language Translation
inferred← citeshttps://doi.org/10.1109/tmm.2021.3109665openalex-snapshot
PiSLTRc: Position-Informed Sign Language Transformer With Content-Aware Convolution
inferred← citeshttps://doi.org/10.1109/tmm.2022.3223260openalex-snapshot
Collaborative Multilingual Continuous Sign Language Recognition: A Unified Framework
inferred← citeshttps://doi.org/10.1109/tmm.2023.3268368openalex-snapshot
Prior-Aware Cross Modality Augmentation Learning for Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/tmm.2024.3377095openalex-snapshot
A Sign Language Recognition Framework Based on Cross-Modal Complementary Information Fusion
inferred← citeshttps://doi.org/10.1109/tmm.2025.3542990openalex-snapshot
GFTLS-SLT: Gloss-Free Transformer Based Lexical and Semantic Awareness Framework for Multimodal Sign Language Translation
inferred← citeshttps://doi.org/10.1109/tmm.2025.3640024openalex-snapshot
Trustworthy Continuous Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3174031openalex-snapshot
MEN: Mutual Enhancement Networks for Sign Language Recognition and Education
inferred← citeshttps://doi.org/10.1109/tpami.2023.3269220openalex-snapshot
SignBERT+: Hand-Model-Aware Self-Supervised Pre-Training for Sign Language Understanding
inferred← citeshttps://doi.org/10.1109/tpami.2025.3599313openalex-snapshot
Scaling up Multimodal Pre-Training for Sign Language Understanding
inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00347openalex-snapshot
Hand Pose Guided 3D Pooling for Word-level Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/wacv51458.2022.00219openalex-snapshot
Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network
inferred← citeshttps://doi.org/10.1109/wacvw60836.2024.00123openalex-snapshot
Fingerspelling PoseNet: Enhancing Fingerspelling Translation with Pose-Based Transformer Models
showing the first 200 of 274 · page through all 274
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.