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Global-Local Enhancement Network for NMF-Aware Sign Language Recognition
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11550518_50openalex-snapshot
Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition
inferredcites →https://doi.org/10.1007/978-3-030-01240-3_4openalex-snapshot
Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks
inferredcites →https://doi.org/10.1007/978-3-030-01246-5_22openalex-snapshot
Multi-fiber Networks for Video Recognition
inferredcites →https://doi.org/10.1007/978-3-030-01267-0_19openalex-snapshot
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
inferredcites →https://doi.org/10.1007/978-3-319-13572-4_30openalex-snapshot
SIFT-Based Arabic Sign Language Recognition System
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_25openalex-snapshot
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering
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/10.1007/978-3-319-46484-8_2openalex-snapshot
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
inferredcites →https://doi.org/10.1007/s11263-005-1838-7openalex-snapshot
On Space-Time Interest Points
inferredcites →https://doi.org/10.1007/s11263-018-1121-3openalex-snapshot
Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs
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.cviu.2017.10.011openalex-snapshot
VideoLSTM convolves, attends and flows for action recognition
inferredcites →https://doi.org/10.1109/3477.485888openalex-snapshot
A dynamic gesture recognition system for the Korean sign language (KSL)
inferredcites →https://doi.org/10.1109/72.182690openalex-snapshot
Glove-Talk: a neural network interface between a data-glove and a speech synthesizer
inferredcites →https://doi.org/10.1109/chinasip.2015.7230384openalex-snapshot
Sign language recognition using real-sense
inferredcites →https://doi.org/10.1109/cvpr.2009.5206523openalex-snapshot
Learning sign language by watching TV (using weakly aligned subtitles)
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2011.5995407openalex-snapshot
Action recognition by dense trajectories
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
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.2017.476openalex-snapshot
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition
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.2018.00054openalex-snapshot
MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00378openalex-snapshot
Relation Networks for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00429openalex-snapshot
Iterative Alignment Network for Continuous Sign Language Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00515openalex-snapshot
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.01233openalex-snapshot
Learning Spatio-Temporal Representation With Local and Global Diffusion
inferredcites →https://doi.org/10.1109/cvprw.2009.5204291openalex-snapshot
Automatic recognition of fingerspelled words in British Sign Language
inferredcites →https://doi.org/10.1109/hsi.2013.6577826openalex-snapshot
Polish sign language words recognition with Kinect
inferredcites →https://doi.org/10.1109/iccv.2015.129openalex-snapshot
Contextual Action Recognition with R* CNN
inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot
Learning Spatiotemporal Features with 3D Convolutional Networks
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/iccv.2017.622openalex-snapshot
The “Something Something” Video Database for Learning and Evaluating Visual Common Sense
inferredcites →https://doi.org/10.1109/iccv.2019.00550openalex-snapshot
Fingerspelling Recognition in the Wild With Iterative Visual Attention
inferredcites →https://doi.org/10.1109/iccv.2019.00630openalex-snapshot
SlowFast Networks for Video Recognition
inferredcites →https://doi.org/10.1109/iccv.2019.00718openalex-snapshot
TSM: Temporal Shift Module for Efficient Video Understanding
inferredcites →https://doi.org/10.1109/iccvw.2017.361openalex-snapshot
Continuous Gesture Recognition with Hand-Oriented Spatiotemporal Feature
inferredcites →https://doi.org/10.1109/icme.2016.7552950openalex-snapshot
Chinese sign language recognition with adaptive HMM
inferredcites →https://doi.org/10.1109/icme.2019.00223openalex-snapshot
Dynamic Pseudo Label Decoding for Continuous Sign Language Recognition
inferredcites →https://doi.org/10.1109/icmla.2014.110openalex-snapshot
American Sign Language Recognition Using Leap Motion Sensor
inferredcites →https://doi.org/10.1109/iwcia.2015.7449458openalex-snapshot
SIFT based approach on Bangla sign language 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/tmm.2014.2298382openalex-snapshot
Similarity Assessment Model for Chinese Sign Language Videos
inferredcites →https://doi.org/10.1109/tmm.2018.2856094openalex-snapshot
Exploiting Recurrent Neural Networks and Leap Motion Controller for the Recognition of Sign Language and Semaphoric Hand Gestures
inferredcites →https://doi.org/10.1109/tmm.2018.2889563openalex-snapshot
A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training
inferredcites →https://doi.org/10.1109/tmm.2019.2915032openalex-snapshot
A Novel Sign Language Recognition Framework Using Hierarchical Grassmann Covariance Matrix
inferredcites →https://doi.org/10.1109/tpami.2019.2911077openalex-snapshot
Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos
inferredcites →https://doi.org/10.1145/2735952openalex-snapshot
A Real-Time Hand Posture Recognition System Using Deep Neural Networks
inferredcites →https://doi.org/10.1145/3123266.3123313openalex-snapshot
Enhancing Micro-video Understanding by Harnessing External Sounds
inferredcites →https://doi.org/10.1145/3152121openalex-snapshot
Online Early-Late Fusion Based on Adaptive HMM for Sign Language Recognition
inferredcites →https://doi.org/10.4018/978-1-5225-5294-9.ch003openalex-snapshot
3D Technologies and Applications in Sign Language
inferredcites →https://doi.org/10.5555/2503308.2503313openalex-snapshot
Sign language recognition using sub-units
inferredcites →https://doi.org/10.5772/60091openalex-snapshot
Recognition of Hand Gestures Observed by Depth Cameras
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-19833-5_39openalex-snapshot
Automatic Dense Annotation of Large-Vocabulary Sign Language Videos
inferred← citeshttps://doi.org/10.1007/978-3-031-46308-2_21openalex-snapshot
Dynamic Attention for Isolated Sign Language Recognition with Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-31438-3_4openalex-snapshot
SignMAE: Segmentation-Driven Self-supervised Learning for Sign Language Recognition
inferred← citeshttps://doi.org/10.1007/978-981-99-3963-3_33openalex-snapshot
A Survey on Indian Sign Language Translation Using Artificial Intelligence
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/s00521-023-08873-7openalex-snapshot
TIM-SLR: a lightweight network for video isolated sign language recognition
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/s00530-025-02191-9openalex-snapshot
Frequency transform attack: a transferable adversarial framework for continuous sign language recognition
inferred← citeshttps://doi.org/10.1007/s10044-024-01403-8openalex-snapshot
Integrated multi-local and global dynamic perception structure for sign language recognition
inferred← citeshttps://doi.org/10.1007/s11760-026-05437-9openalex-snapshot
Multimodal Sign Language Recognition with Bidirectional Visual-Pose Alternating Attention and Semantic Embedding
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.cosrev.2026.100895openalex-snapshot
Machine learning in sign language: A comprehensive analysis and trend survey
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128340openalex-snapshot
Multi-modal isolated sign language recognition based on self-paced learning
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.jer.2025.07.006openalex-snapshot
Ensemble transformer-based word-level sign language recognition with multi-modal input fusion
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.05.051openalex-snapshot
Full transformer network with masking future for word-level sign language recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127479openalex-snapshot
A signer-independent sign language recognition method for the single-frequency dataset
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112941openalex-snapshot
Local attention and contrastive clustering network for sign language recognition
inferred← citeshttps://doi.org/10.1109/access.2022.3151362openalex-snapshot
Using Motion History Images With 3D Convolutional Networks in Isolated Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/access.2025.3536633openalex-snapshot
Modeling Multimedia Ad Exposure: The Role of Low-Level Audiovisual Features
inferred← citeshttps://doi.org/10.1109/access.2025.3601235openalex-snapshot
M³-SLR: Self-Supervised Pretraining With MaxFlow MaskFeat for Improved Multi-View Sign Language Representation
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01430openalex-snapshot
Natural Language-Assisted Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.02265openalex-snapshot
VSNet: Focusing on the Linguistic Characteristics of Sign Language
inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00392openalex-snapshot
Cross-Modal Consistency Learning for Sign Language Recognition
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/fg67764.2026.11556935openalex-snapshot
LBOR: Laplace–Beltrami Operator Regularization for Robust Skeleton-based Isolated Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01090openalex-snapshot
SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00526openalex-snapshot
A Multimodal Video and Radar Fusion Framework for High-Accuracy Isolated Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/ickg52313.2021.00054openalex-snapshot
A Proximal Alternating-direction-method-of-multipliers-based Nonnegative Latent Factor Model
inferred← citeshttps://doi.org/10.1109/jiot.2025.3644894openalex-snapshot
mmWave Radar-Based Continuous Sign Language Recognition: Lightweight Modeling, Contextual Optimization, and Embedded Implementation
inferred← citeshttps://doi.org/10.1109/lsp.2023.3289111openalex-snapshot
QISampling: An Effective Sampling Strategy for Event-Based Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3409728openalex-snapshot
MASA: Motion-Aware Masked Autoencoder With Semantic Alignment for Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/tii.2026.3670045openalex-snapshot
TextSLR: Learning Text-Aware Representations for Sign Language Recognition
inferred← citeshttps://doi.org/10.1109/tip.2024.3416881openalex-snapshot
Self-Supervised Representation Learning With Spatial-Temporal Consistency for Sign Language Recognition
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.2023.3321502openalex-snapshot
SKIM: Skeleton-Based Isolated Sign Language Recognition With Part Mixing
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/wacv57701.2024.00300openalex-snapshot
Sign Language Production with Latent Motion Transformer
inferred← citeshttps://doi.org/10.1145/3584984openalex-snapshot
Isolated Arabic Sign Language Recognition Using a Transformer-based Model and Landmark Keypoints
inferred← citeshttps://doi.org/10.1145/3640815openalex-snapshot
Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal
inferred← citeshttps://doi.org/10.1145/3656046openalex-snapshot
StepNet: Spatial-temporal Part-aware Network for Isolated Sign Language Recognition
inferred← citeshttps://doi.org/10.1145/3664647.3681237openalex-snapshot
SEDS: Semantically Enhanced Dual-Stream Encoder for Sign Language Retrieval
inferred← citeshttps://doi.org/10.1145/3733155.3734907openalex-snapshot
An Interdisciplinary Approach to Sign Language Data Set Collection of Native Signers
inferred← citeshttps://doi.org/10.1145/3776574.3831189openalex-snapshot
M3CA: Multi-modal and Multi-view Fusion based on Multi-layer Cross Attention for Isolated Sign Language Recognition
inferred← citeshttps://doi.org/10.1609/aaai.v35i2.16247openalex-snapshot
Hand-Model-Aware Sign Language Recognition
inferred← citeshttps://doi.org/10.2139/ssrn.6365353openalex-snapshot
Gloss SLQA: A Gloss-centric Approach to Sign Language Question Answering
inferred← citeshttps://doi.org/10.23919/iccas52745.2021.9649992openalex-snapshot
Syllable-level Korean Fingerspelling Recognition from a Video
inferred← citeshttps://doi.org/10.32604/cmes.2022.021784openalex-snapshot
Continuous Sign Language Recognition Based on Spatial-Temporal Graph Attention Network
inferred← citeshttps://doi.org/10.66941/3106-9037/2025/iss1pp38-50openalex-snapshot
А comparative study of sign gesture recognition models in medical context with media pipe
inferred← citeshttps://doi.org/10.70675/404efc23z5933z47b3z9cf1za09174530666openalex-snapshot
Learning sign language from subtitles
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