137 citations · 145 across the 11 of their papers we have counts for
11 papers
SLRTP2025 Sign Language Production Challenge: Methodology, Results, and Future Work
Harry Walsh, Ed Fish, Ozge Mercanoglu Sincan +19
Sign Language Production (SLP) is the task of generating sign language video from spoken language inputs. The field has seen a range of innovations over the last few years, with th…
DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding
Junyu Xiong, Yonghui Wang, Weichao Zhao +4
Understanding multi-page documents poses a significant challenge for multimodal large language models (MLLMs), as it requires fine-grained visual comprehension and multi-hop reason…
Uni-Sign: Toward Unified Sign Language Understanding at Scale
Zecheng Li, Wengang Zhou, Weichao Zhao +3
Sign language pre-training has gained increasing attention for its ability to enhance performance across various sign language understanding (SLU) tasks. However, existing methods…
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…
TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy
Weichao Zhao, Hao Feng, Qi Liu +9
Tables contain factual and quantitative data accompanied by various structures and contents that pose challenges for machine comprehension. Previous methods generally design task-s…
MASA: Motion-aware Masked Autoencoder with Semantic Alignment for Sign Language Recognition
Weichao Zhao, Hezhen Hu, Wengang Zhou +3
Sign language recognition (SLR) has long been plagued by insufficient model representation capabilities. Although current pre-training approaches have alleviated this dilemma to so…
Exploiting Spatial-Temporal Context for Interacting Hand Reconstruction on Monocular RGB Video
Weichao Zhao, Hezhen Hu, Wengang Zhou +2
Reconstructing interacting hands from monocular RGB data is a challenging task, as it involves many interfering factors, e.g. self- and mutual occlusion and similar textures. Previ…
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…
SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition
Hezhen Hu, Weichao Zhao, Wengang Zhou +2
Hand gesture serves as a critical role in sign language. Current deep-learning-based sign language recognition (SLR) methods may suffer insufficient interpretability and overfittin…