{"total":71,"rows":[{"id":"2105.12397","title":"Improving Sign Language Translation with Monolingual Data by Sign Back-Translation","created":"2021-05-26","cited_by_count":179,"area":null},{"id":"2108.06428","title":"FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration","created":"2021-08-13","cited_by_count":169,"area":null},{"id":"2211.01367","title":"Two-Stream Network for Sign Language Recognition and Translation","created":"2022-11-02","cited_by_count":123,"area":null},{"id":"2203.04287","title":"A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation","created":"2022-03-08","cited_by_count":80,"area":null},{"id":"2205.12870","title":"Open-Domain Sign Language Translation Learned from Online Video","created":"2022-05-25","cited_by_count":72,"area":null},{"id":"2105.05222","title":"Including Signed Languages in Natural Language Processing","created":"2021-05-11","cited_by_count":68,"area":null},{"id":"2201.05991","title":"Video Transformers: A Survey","created":"2022-01-16","cited_by_count":63,"area":null},{"id":"2305.04868","title":"SignBERT+: Hand-model-aware Self-supervised Pre-training for Sign Language Understanding","created":"2023-05-08","cited_by_count":59,"area":null},{"id":"2307.07361","title":"Gloss Attention for Gloss-free Sign Language Translation","created":"2023-07-14","cited_by_count":51,"area":null},{"id":"2103.06982","title":"Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks","created":"2021-03-11","cited_by_count":50,"area":null},{"id":"2107.11317","title":"Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives","created":"2021-07-23","cited_by_count":50,"area":null},{"id":"2304.06371","title":"Sign Language Translation from Instructional Videos","created":"2023-04-13","cited_by_count":39,"area":null},{"id":"2208.09141","title":"G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model","created":"2022-08-19","cited_by_count":38,"area":"diffusion"},{"id":"2109.13318","title":"Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation","created":"2021-09-01","cited_by_count":35,"area":null},{"id":"2305.01778","title":"SLTUNET: A Simple Unified Model for Sign Language Translation","created":"2023-05-02","cited_by_count":35,"area":null},{"id":"2103.16481","title":"Read and Attend: Temporal Localisation in Sign Language Videos","created":"2021-03-30","cited_by_count":34,"area":null},{"id":"2303.12793","title":"CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning","created":"2023-03-22","cited_by_count":33,"area":null},{"id":"2405.14312","title":"Improving Gloss-free Sign Language Translation by Reducing Representation Density","created":"2024-05-23","cited_by_count":31,"area":null},{"id":"2105.02351","title":"Content4All Open Research Sign Language Translation Datasets","created":"2021-05-05","cited_by_count":30,"area":null},{"id":"2112.04228","title":"SimulSLT: End-to-End Simultaneous Sign Language Translation","created":"2021-12-08","cited_by_count":27,"area":null},{"id":"2308.10809","title":"Improving Continuous Sign Language Recognition with Cross-Lingual Signs","created":"2023-08-21","cited_by_count":27,"area":null},{"id":"2103.15910","title":"Sign Language Production: A Review","created":"2021-03-29","cited_by_count":26,"area":null},{"id":"2104.11712","title":"Skeletor: Skeletal Transformers for Robust Body-Pose Estimation","created":"2021-04-23","cited_by_count":26,"area":null},{"id":"2104.10166","title":"Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition","created":"2021-04-20","cited_by_count":25,"area":null},{"id":"2211.15464","title":"Considerations for meaningful sign language machine translation based on glosses","created":"2022-11-28","cited_by_count":25,"area":null},{"id":"2312.15645","title":"Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment","created":"2023-12-25","cited_by_count":23,"area":null},{"id":"2202.03086","title":"Machine Translation from Signed to Spoken Languages: State of the Art and Challenges","created":"2022-02-07","cited_by_count":20,"area":null},{"id":"2208.02802","title":"Automatic dense annotation of large-vocabulary sign language videos","created":"2022-08-04","cited_by_count":20,"area":null},{"id":"2308.12191","title":"Sign Language Translation with Iterative Prototype","created":"2023-08-23","cited_by_count":20,"area":null},{"id":"2401.04730","title":"A Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars","created":"2024-01-09","cited_by_count":19,"area":null},{"id":"2406.06907","title":"SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale","created":"2024-06-11","cited_by_count":19,"area":null},{"id":"2210.05404","title":"Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting","created":"2022-10-11","cited_by_count":18,"area":null},{"id":"2305.11096","title":"Cross-modality Data Augmentation for End-to-End Sign Language Translation","created":"2023-05-18","cited_by_count":16,"area":null},{"id":"2411.16810","title":"Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observation","created":"2024-11-25","cited_by_count":16,"area":"diffusion"},{"id":"2308.09622","title":"Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse","created":"2023-08-18","cited_by_count":15,"area":null},{"id":"2405.10266","title":"A Tale of Two Languages: Large-Vocabulary Continuous Sign Language Recognition from Spoken Language Supervision","created":"2024-05-16","cited_by_count":15,"area":null},{"id":"2312.12917","title":"Sign Language Production with Latent Motion Transformer","created":"2023-12-20","cited_by_count":13,"area":null},{"id":"2107.12600","title":"PiSLTRc: Position-informed Sign Language Transformer with Content-aware Convolution","created":"2021-07-27","cited_by_count":11,"area":null},{"id":"2112.05277","title":"Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production","created":"2021-12-06","cited_by_count":11,"area":null},{"id":"2204.04916","title":"A Token-level Contrastive Framework for Sign Language Translation","created":"2022-04-11","cited_by_count":10,"area":null},{"id":"2405.05672","title":"Multi-Stream Keypoint Attention Network for Sign Language Recognition and Translation","created":"2024-05-09","cited_by_count":9,"area":null},{"id":"2201.01609","title":"All You Need In Sign Language Production","created":"2022-01-05","cited_by_count":8,"area":null},{"id":"2405.15813","title":"From CNNs to Transformers in Multimodal Human Action Recognition: A Survey","created":"2024-05-22","cited_by_count":7,"area":null},{"id":"2310.04753","title":"A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset","created":"2023-10-07","cited_by_count":6,"area":null},{"id":"2503.03287","title":"Deep Understanding of Sign Language for Sign to Subtitle Alignment","created":"2025-03-05","cited_by_count":6,"area":null},{"id":"2308.09515","title":"Learnt Contrastive Concept Embeddings for Sign Recognition","created":"2023-08-18","cited_by_count":5,"area":null},{"id":"2407.16394","title":"SEDS: Semantically Enhanced Dual-Stream Encoder for Sign Language Retrieval","created":"2024-07-23","cited_by_count":5,"area":null},{"id":"2508.15902","title":"Text-Driven 3D Hand Motion Generation from Sign Language Data","created":"2025-08-21","cited_by_count":5,"area":null},{"id":"2210.07054","title":"Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation","created":"2022-10-13","cited_by_count":4,"area":null},{"id":"2211.00526","title":"Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation","created":"2022-11-01","cited_by_count":4,"area":null},{"id":"2503.06484","title":"Sign Language Translation using Frame and Event Stream: Benchmark Dataset and Algorithms","created":"2025-03-09","cited_by_count":4,"area":null},{"id":"2308.08849","title":"A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation","created":"2023-08-17","cited_by_count":3,"area":null},{"id":"2507.01532","title":"Exploring Pose-based Sign Language Translation: Ablation Studies and Attention Insights","created":"2025-07-02","cited_by_count":2,"area":null},{"id":"2103.08800","title":"Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer","created":"2021-03-16","cited_by_count":1,"area":null},{"id":"2209.02402","title":"Topic Detection in Continuous Sign Language Videos","created":"2022-09-01","cited_by_count":1,"area":null},{"id":"2210.00893","title":"Combining Efficient and Precise Sign Language Recognition: Good pose estimation library is all you need","created":"2022-09-30","cited_by_count":1,"area":null},{"id":"2301.03769","title":"Learning from What is Already Out There: Few-shot Sign Language Recognition with Online Dictionaries","created":"2023-01-10","cited_by_count":1,"area":null},{"id":"2311.14323","title":"BinaryHPE: 3D Human Pose and Shape Estimation via Binarization","created":"2023-11-24","cited_by_count":1,"area":null},{"id":"2412.11553","title":"Training Strategies for Isolated Sign Language Recognition","created":"2024-12-16","cited_by_count":1,"area":null},{"id":"2512.13415","title":"USTM: Unified Spatial and Temporal Modeling for Continuous Sign Language Recognition","created":"2025-12-15","cited_by_count":1,"area":null},{"id":"2309.01860","title":"Exploring Attention Mechanisms in Integration of Multi-Modal Information for Sign Language Recognition and Translation","created":"2023-09-04","cited_by_count":0,"area":null},{"id":"2402.07255","title":"American Sign Language Video to Text Translation","created":"2024-02-11","cited_by_count":0,"area":null},{"id":"2405.02977","title":"SkelCap: Automated Generation of Descriptive Text from Skeleton Keypoint Sequences","created":"2024-05-05","cited_by_count":0,"area":null},{"id":"2409.08162","title":"Cross-Attention Based Influence Model for Manual and Nonmanual Sign Language Analysis","created":"2024-09-12","cited_by_count":0,"area":null},{"id":"2504.12020","title":"Graph Network for Sign Language Tasks","created":"2025-04-16","cited_by_count":0,"area":null},{"id":"2507.09105","title":"Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production","created":"2025-07-12","cited_by_count":0,"area":"diffusion"},{"id":"2508.14574","title":"Towards Skeletal and Signer Noise Reduction in Sign Language Production via Quaternion-Based Pose Encoding and Contrastive Learning","created":"2025-08-20","cited_by_count":0,"area":null},{"id":"2604.27232","title":"Targeted Linguistic Analysis of Sign Language Models with Minimal Translation Pairs","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2606.22959","title":"The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production","created":"2026-06-22","cited_by_count":0,"area":"diffusion"},{"id":"2607.03657","title":"ViPo-MLLM: Visual-Pose Multimodal LLM for Gloss-Free Sign Language Translation","created":"2026-07-04","cited_by_count":0,"area":"mllm"},{"id":"2609.12885","title":"Learning Sign Language Recognition under Label Noise: A Study of Noise-Robust Losses for Isolated and Continuous Settings","created":"2026-09-11","cited_by_count":0,"area":null}],"next_cursor":null}