Incremental multilingual text recognition through sharing and fusing cross-language knowledge.
Publications
Selected research publications in trustworthy AI, multimodal reasoning, and visual recognition.
RISEN: Incremental Multilingual Text Recognition by Sharing and Fusing Cross-language Knowledge
Self-Supervised Discovery of Cross-Lingual Shared Knowledge for Continual Text Recognition
Continual multilingual text recognition through structured discovery and transfer of shared cross-lingual knowledge.
Hierarchical Multi-label Learning for Incremental Multilingual Text Recognition
Hierarchical multi-label learning for incremental multilingual text recognition.
Noisy-Aware Unsupervised Domain Adaptation for Scene Text Recognition
Unsupervised adaptation for scene text recognition with learning mechanisms that suppress unreliable pseudo-label supervision.
ProtoUDA: Prototype-Based Unsupervised Adaptation for Cross-Domain Text Recognition
Prototype-based unsupervised adaptation for robust text recognition across domains.
TextAdapter: Self-Supervised Domain Adaptation for Cross-Domain Text Recognition
Self-supervised representation adaptation for cross-domain scene text recognition.
Unsupervised Domain Adaptation via Class Aggregation for Text Recognition
Class-level aggregation for unsupervised domain adaptation in text recognition.
Meta-Learning Based Prototype-Relation Network for Few-Shot Classification
A prototype-relation network based on meta-learning for few-shot classification.