2 citations · 5 across the 9 of their papers we have counts for
4 papers · 1 filter
DvD: Unleashing a Generative Paradigm for Document Dewarping via Coordinates-based Diffusion Model
Weiguang Zhang, Huangcheng Lu, Maizhen Ning +4
Document dewarping aims to rectify deformations in photographic document images, thus improving text readability, which has attracted much attention and made great progress, but it…
Covariance-based Space Regularization for Few-shot Class Incremental Learning
Yijie Hu, Guanyu Yang, Zhaorui Tan +3
Few-shot Class Incremental Learning (FSCIL) presents a challenging yet realistic scenario, which requires the model to continually learn new classes with limited labeled data (i.e.…
ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning
Zihan Ye, Shreyank N. Gowda, Xiaowei Huang +4
Zero-shot Learning (ZSL) aims to enable classifiers to identify unseen classes. This is typically achieved by generating visual features for unseen classes based on learned visual-…
A Symbolic Character-Aware Model for Solving Geometry Problems
Maizhen Ning, Qiu-Feng Wang, Kaizhu Huang +1
AI has made significant progress in solving math problems, but geometry problems remain challenging due to their reliance on both text and diagrams. In the text description, symbol…