198 citations · 480 across the 36 of their papers we have counts for
6 papers · 1 filter
SGCE-Font: Skeleton Guided Channel Expansion for Chinese Font Generation
Jie Zhou, Yefei Wang, Yiyang Yuan +2
The automatic generation of Chinese fonts is an important problem involved in many applications. The predominated methods for the Chinese font generation are based on the deep gene…
StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding
Jinshan Zeng, Yefei Wang, Qi Chen +3
The generation of Chinese fonts has a wide range of applications. The currently predominated methods are mainly based on deep generative models, especially the generative adversari…
STAR: Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions
Jinshan Zeng, Ruiying Xu, Yu Wu +2
Zero-shot Chinese character recognition has attracted rising attention in recent years. Existing methods for this problem are mainly based on either certain low-level stroke-based…
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game
Ke Ma, Qianqian Xu, Jinshan Zeng +3
Rank aggregation with pairwise comparisons has shown promising results in elections, sports competitions, recommendations, and information retrieval. However, little attention has…
Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd Counting
Yunxin Liu, Qiaosi Yi, Jinshan Zeng
The lightweight crowd counting models, in particular knowledge distillation (KD) based models, have attracted rising attention in recent years due to their superiority on computati…
CodeGen-Test: An Automatic Code Generation Model Integrating Program Test Information
Maosheng Zhong, Gen Liu, Hongwei Li +3
Automatic code generation is to generate the program code according to the given natural language description. The current mainstream approach uses neural networks to encode natura…