Co-occurring keywords · papers mentioning both
Papers
YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus
ICLR 2025
A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News
COLING 2024
A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract)
AAAI 2024
LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition
AAAI 2024
MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset
NeurIPS 2024
SignCLIP: Connecting Text and Sign Language by Contrastive Learning
EMNLP 2024
SignGraph: A Sign Sequence is Worth Graphs of Nodes
CVPR 2024
Studying and Mitigating Biases in Sign Language Understanding Models
EMNLP 2024
TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions
AAAI 2024
The Key Points: Using Feature Importance to Identify Shortcomings in Sign Language Recognition Models
COLING 2024
Towards Online Continuous Sign Language Recognition and Translation
EMNLP 2024
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition
NeurIPS 2023
BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization
AAAI 2023
Continuous Sign Language Recognition With Correlation Network
CVPR 2023
Contrastive Learning for Sign Language Recognition and Translation
IJCAI 2023
CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition
ICCV 2023
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment
CVPR 2023
Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition
CVPR 2023
Gloss-Free Sign Language Translation: Improving from Visual-Language Pretraining
ICCV 2023
Handshape-Aware Sign Language Recognition: Extended Datasets and Exploration of Handshape-Inclusive Methods
EMNLP 2023
Human Part-wise 3D Motion Context Learning for Sign Language Recognition
ICCV 2023
Improving Sign Recognition with Phonology
EACL 2023
Listen, Decipher and Sign: Toward Unsupervised Speech-to-Sign Language Recognition
ACL 2023
Making Body Movement in Sign Language Corpus Accessible for Linguists and Machines with Three-Dimensional Normalization of MediaPipe
EMNLP 2023
Multimodal Locally Enhanced Transformer for Continuous Sign Language Recognition
Interspeech 2023