137 citations · 141 across the 2 of their papers we have counts for
4 papers
Scaling up Multimodal Pre-training for Sign Language Understanding
Wengang Zhou, Weichao Zhao, Hezhen Hu +2
Sign language serves as the primary meaning of communication for the deaf-mute community. Different from spoken language, it commonly conveys information by the collaboration of ma…
Self-Supervised Representation Learning with Spatial-Temporal Consistency for Sign Language Recognition
Weichao Zhao, Wengang Zhou, Hezhen Hu +2
Recently, there have been efforts to improve the performance in sign language recognition by designing self-supervised learning methods. However, these methods capture limited info…
SignBERT+: Hand-model-aware Self-supervised Pre-training for Sign Language Understanding
Hezhen Hu, Weichao Zhao, Wengang Zhou +1
Hand gesture serves as a crucial role during the expression of sign language. Current deep learning based methods for sign language understanding (SLU) are prone to over-fitting du…
BEST: BERT Pre-Training for Sign Language Recognition with Coupling Tokenization
Weichao Zhao, Hezhen Hu, Wengang Zhou +2
In this work, we are dedicated to leveraging the BERT pre-training success and modeling the domain-specific statistics to fertilize the sign language recognition~(SLR) model. Consi…