Visual Sign Language Research Group
Visual Sign Language Research Group
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Highlights
Publications
Datasets
CSLR
SignBERT+: Hand-model-aware Self-supervised Pre-training for Sign Language Understanding
Hand gesture serves as a crucial role during the expression of sign language. Current deep learning based methods for sign language …
Hezhen Hu
,
Weichao Zhao
,
Wengang Zhou
,
Houqiang Li
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Project
Prior-aware Cross Modality Augmentation Learning for Continuous Sign Language Recognition
Continuous sign language recognition (CSLR) aims to map a sign video into a sentence of text words in the same order as the signs. …
Hezhen Hu
,
Junfu Pu
,
Wengang Zhou
,
Hang Fang
,
Houqiang Li
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Collaborative Multilingual Continuous Sign Language Recognition: A Unified Framework
Current continuous sign language recognition systems generally target on a single language. When it comes to the multilingual problem, …
Hezhen Hu
,
Junfu Pu
,
Wengang Zhou
,
Houqiang Li
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Spatial-Temporal Multi-Cue Network for Sign Language Recognition and Translation
Despite the recent success of deep learning in video-related tasks, deep models typically focus on the most discriminative features, …
Hao Zhou
,
Wengang Zhou
,
Yun Zhou
,
Houqiang Li
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Semantic Boundary Detection With Reinforcement Learning for Continuous Sign Language Recognition
Sign language recognition (SLR) is a significant and promising technique to facilitate the communication for the hearing-impaired …
Chengcheng Wei
,
Jian Zhao
,
Wengang Zhou
,
Houqiang Li
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Boosting continuous sign language recognition via cross modality augmentation
Continuous sign language recognition (SLR) deals with unaligned video-text pair and uses the word error rate (WER), i.e., edit …
Junfu Pu
,
Wengang Zhou
,
Hezhen Hu
,
Houqiang Li
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Continuous sign language recognition via reinforcement learning
In this paper, we propose an approach to apply the Transformer with reinforcement learning (RL) for continuous sign language …
Zhihai Zhang
,
Junfu Pu
,
Liansheng Zhuang
,
Wengang Zhou
,
Houqiang Li
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Deep grammatical multi-classifier for continuous sign language recognition
In this paper, we propose a novel deep architecture with multiple classifiers for continuous sign language recognition. Representing …
Chengcheng Wei
,
Wengang Zhou
,
Junfu Pu
,
Houqiang Li
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Dynamic pseudo label decoding for continuous sign language recognition
Continuous sign language recognition is a weakly supervised problem to translate video sequence to sign gloss sequence, where temporal …
Hao Zhou
,
Wengang Zhou
,
Houqiang Li
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Spatial-temporal multi-cue network for continuous sign language recognition
Despite the recent success of deep learning in continuous sign language recognition (CSLR), deep models typically focus on the most …
Hao Zhou
,
Wengang Zhou
,
Yun Zhou
,
Houqiang Li
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