- [CVPR 2024] SignGraph: A Sign Sequence is Worth Graphs of Nodes. [paper] [code]
Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Hongkai Wen, Kang Xia, Lei Xie, Sanglu Lu - [EMNLP Findings 2023] Handshape-Aware Sign Language Recognition: Extended Datasets and Exploration of Handshape-Inclusive Methods. [paper]
Xuan Zhang, Kevin Duh - [EMNLP Findings 2023] Making Body Movement in Sign Language Corpus Accessible for Linguists and Machines with Three-Dimensional Normalization of MediaPipe. [paper]
Houda Bouamor, Juan Pino, Kalika Bali - [EMNLP Findings 2023] Linguistically Motivated Sign Language Segmentation. [paper]
Amit Moryossef, Zifan Jiang, Mathias Müller, Sarah Ebling, Yoav Goldberg - [NeurIPS 2023 Dataset] ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition.[paper]
Aashaka Desai, Lauren Berger, Fyodor O Minakov, Vanessa Milan, Chinmay Singh, Kriston L Pumphrey, Richard Ladner, Hal Daumé III, Alex Xijie Lu, Naomi Caselli, Danielle Bragg - [NeurIPS 2023 Dataset] PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones. [paper]
Thad Starner, Sean Forbes, Matthew So, David Martin, Rohit Sridhar, Gururaj Deshpande, Sam Sepah, Sahir Shahryar, Khushi Bhardwaj, Tyler Kwok, Daksh Sehgal, Saad Hassan, Bill Neubauer, Sofia Anandi Vempala, Alec Tan, Jocelyn Heath, Unnathi Utpal Kumar, Priyanka Vijayaraghavan Mosur, Tavenner M. Hall, Rajandeep Singh et al. - [ICCV 2023] CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition.[paper]
Peiqi Jiao, Yuecong Min, Yanan Li, Xiaotao Wang, Lei Lei, Xilin Chen - [ICCV 2023] Human Part-wise 3D Motion Context Learning for Sign Language Recognition.[paper]
Taeryung Lee, Yeonguk Oh and Kyoung Mu Lee - [ICCV 2023] Improving Continuous Sign Language Recognition with Cross-Lingual Signs.[paper]
Fangyun Wei, Yutong Chen - [ICCV 2023] C2ST: Cross-modal Contextualized Sequence Transduction for Continuous Sign Language Recognition.[paper]
Huaiwen Zhang, Zihang Guo, Yang Yang, Xin Liu, De Hu - [EMNLP Findings 2023] Handshape-Aware Sign Language Recognition: Extended Datasets and Exploration of Handshape-Inclusive Methods. [paper]
Xuan Zhang, Kevin Duh - [EMNLP Findings 2023] Making Body Movement in Sign Language Corpus Accessible for Linguists and Machines with Three-Dimensional Normalization of MediaPipe. [paper]
Houda Bouamor, Juan Pino, Kalika Bali - [EMNLP Findings 2023] Linguistically Motivated Sign Language Segmentation. [paper]
Amit Moryossef, Zifan Jiang, Mathias Müller, Sarah Ebling, Yoav Goldberg - [NeurIPS 2023 Dataset] ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition.[paper]
Aashaka Desai, Lauren Berger, Fyodor O Minakov, Vanessa Milan, Chinmay Singh, Kriston L Pumphrey, Richard Ladner, Hal Daumé III, Alex Xijie Lu, Naomi Caselli, Danielle Bragg - [NeurIPS 2023 Dataset] PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones. [paper]
Thad Starner, Sean Forbes, Matthew So, David Martin, Rohit Sridhar, Gururaj Deshpande, Sam Sepah, Sahir Shahryar, Khushi Bhardwaj, Tyler Kwok, Daksh Sehgal, Saad Hassan, Bill Neubauer, Sofia Anandi Vempala, Alec Tan, Jocelyn Heath, Unnathi Utpal Kumar, Priyanka Vijayaraghavan Mosur, Tavenner M. Hall, Rajandeep Singh et al. - [ICCV 2023] CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition.[paper]
Peiqi Jiao, Yuecong Min, Yanan Li, Xiaotao Wang, Lei Lei, Xilin Chen - [ICCV 2023] Human Part-wise 3D Motion Context Learning for Sign Language Recognition.[paper]
Taeryung Lee, Yeonguk Oh and Kyoung Mu Lee - [ICCV 2023] Improving Continuous Sign Language Recognition with Cross-Lingual Signs.[paper]
Fangyun Wei, Yutong Chen - [ICCV 2023] C2ST: Cross-modal Contextualized Sequence Transduction for Continuous Sign Language Recognition.[paper]
Huaiwen Zhang, Zihang Guo, Yang Yang, Xin Liu, De Hu - [CVPR 2023] Natural Language-Assisted Sign Language Recognition.[paper][code]
Ronglai Zuo, Fangyun Wei, Brian Mak - [CVPR 2023] CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment.[paper]
Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Li - [CVPR 2023] Continuous Sign Language Recognition with Correlation Network.[paper]
Lianyu Hu, Liqing Gao, Zekang Liu, Wei Feng - [CVPR 2023] Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition.[paper]
Leming Guo, Wanli Xue, Qing Guo, Bo Liu, Kaihua Zhang, Tiantian Yuan, Shengyong Chen - [NeurIPS 2022] Two-Stream Network for Sign Language Recognition and Translation.[paper] [code]
Yutong Chen, Ronglai Zuo, Fangyun Wei, Yu Wu, Shujie Liu, Brian Mak - [BMVC 2022] Signing Outside the Studio: Benchmarking Background
Robustness for Continuous Sign Language Recognition.[paper]
Youngjoon Jang, Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, Joon Son Chung, In So Kweon - [BMVC 2022] Weakly-supervised Fingerspelling Recognition in British Sign Language Videos.[paper]
K R Prajwal, Hannah Bull, Liliane Momeni, Samuel Albanie, Gül Varol, Andrew Zisserman - [ECCV 2022] Deep Radial Embedding for Visual Sequence Learning. [paper]
Yuecong Min, Peiqi Jiao, Yanan Li, Wang Xiaotao, Lei Lei, Xiujuan Chai, Xilin Chen - [ECCV 2022] Temporal Lift Pooling for Continuous Sign Language Recognition.[paper]
Lianyu Hu, Liqing Gao, Zekang Liu, Wei Feng - [ECCV 2022] Automatic dense annotation of large-vocabulary sign language videos.[paper]
Liliane Momeni, Hannah Bull, Prajwal K R, Samuel Albanie, Gul Varol, Andrew Zisserman - [CVPR 2022] C2SLR: Consistency-Enhanced Continuous Sign Language Recognition.[paper]
Ronglai Zuo, Brian Mak - [ICCV 2021] SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition.[paper]
Hezhen Hu; Weichao Zhao; Wengang Zhou; Yuechen Wang; Houqiang Li - [ICCV 2021] Visual Alignment Constraint for Continuous Sign Language Recognition.[paper] [code]
Yuecong Min, Aiming Hao, Xiujuan Chai, and Xilin Chen - [ICCV 2021] Self-Mutual Distillation Learning for Continuous Sign Language Recognition.[paper]
Aiming Hao, Yuecong Min, and Xilin Chen - [CVPR 2021] How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language.[paper]
Amanda Duarte, Shruti Palaskar, Lucas Ventura, Deepti Ghadiyaram, Kenneth DeHaan, Florian Metze, Jordi Torres, Xavier Giro-i-Nieto - [CVPR 2021] Read and Attend: Temporal Localisation in Sign Language Videos.[paper]
Gül Varol, Liliane Momeni, Samuel Albanie, Triantafyllos Afouras, Andrew Zisserman - [CVPR 2021] Fingerspelling Detection in American Sign Language. [paper]
Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu - [AAAI 2021] Hand-Model-Aware Sign Language Recognition.[paper]
Hezhen Hu, Wengang Zhou, Houqiang Li - [WACV 2021] Hand Pose Guided 3D Pooling for Word-level Sign Language Recognition.[paper]
Al Amin Hosain; Panneer Selvam Santhalingam; Parth Pathak; Huzefa Rangwala; Jana Kosecka - [CVPR 2020] Transferring Cross-Domain Knowledge for Video Sign Language Recognition.[paper]
Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li - [ACM MM 2020] INCLUDE: A Large Scale Dataset for Indian Sign Language Recognition.[paper]
Sridhar, Advaith, Rohith Gandhi Ganesan, Pratyush Kumar, and Mitesh Khapra - [ACM MM 2020] Boosting Continuous Sign Language Recognition via Cross Modality Augmentation.[paper]
Pu, Junfu, Wengang Zhou, Hezhen Hu, and Houqiang Li - [FG 2020] Sign Language Recognition in Virtual Reality. [paper]
Jacob Schioppo, Zachary Meyer, Diego Fabiano, Shaun Canavan - [FG 2020] SILFA: Sign Language Facial Action Database for the Development of Assistive Technologies for the Deaf.[paper]
Emely Pujólli da Silva, Paula Dornhofer Paro Costa, Kate Mamhy Oliveira Kumada, José Mario De Martino - [FG 2020] FineHand: Learning Hand Shapes for American Sign Language Recognition. [paper]
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak, Huzefa Rangwala, Jana Košecká - [FG 2020] Introduction and Analysis of an Event-Based Sign Language Dataset [paper]
Ajay Vasudevan, Pablo Negri, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona - [FG 2020] Towards a Visual Sign Language Dataset for Home Care Services. [paper]
D. Kosmopoulos, I. Oikonomidis, C. Constantinopoulos, N. Arvanitis, K. Antzakas, A. Bifis, G. Lydakis, A. Roussos, A. Argyros - [ECCV 2020] BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues.[paper]
Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman - [ECCV 2020] Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition.[paper]
Niu Zhe, Brian Mak - [ECCV 2020] Fully Convolutional Networks for Continuous Sign Language Recognition.[paper]
Ka Leong Cheng, Zhaoyang Yang, Qifeng Chen, and Yu-Wing Tai - [AAAI 2020] Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition. [paper]
Hao Zhou, Wengang Zhou, Yun Zhou, Houqiang Li - [WACV 2020] Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison. [paper]
Dongxu Li, Cristian Rodriguez, Xin Yu, Hongdong Li - [CVPR 2019] Iterative Alignment Network for Continuous Sign Language Recognition. [paper]
Junfu Pu, Wengang Zhou, Houqiang Li - [BMVC 2019] Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?[paper]
Yunus Can Bilge, Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis - [BMVC 2019] MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language. [paper]
HAMID VAEZI JOZE, Oscar Koller - [CVPR 2017] Re-Sign: Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs. [paper]
Oscar Koller, Sepehr Zargaran, Hermann Ney - [CVPR 2017] Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization. [paper]
Runpeng Cui, Hu Liu, Changshui Zhang - [ICCV 2017] SubUNets: End-To-End Hand Shape and Continuous Sign Language Recognition. [paper]
Necati Cihan Camgoz, Simon Hadfield, Oscar Koller, Richard Bowden - [ECCV 2016] Iterative Reference Driven Metric Learning for Signer Independent Isolated Sign. [paper]
Fang Yin, Xiujuan Chai, Xilin Chen - [BMVC 2016] Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition. [paper]
Oscar Koller, Sepehr Zargaran, Hermann Ney and Richard Bowden