5 citations · 11 across the 3 of their papers we have counts for
4 papers · 1 filter
Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator
Yuxin Kong, Canjie Luo, Weihong Ma +4
Automatic font generation remains a challenging research issue due to the large amounts of characters with complicated structures. Typically, only a few samples can serve as the st…
Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences
Jiapeng Wang, Tianwei Wang, Guozhi Tang +4
Visual information extraction (VIE) has attracted increasing attention in recent years. The existing methods usually first organized optical character recognition (OCR) results int…
Towards an efficient framework for Data Extraction from Chart Images
Weihong Ma, Hesuo Zhang, Shuang Yan +5
In this paper, we fill the research gap by adopting state-of-the-art computer vision techniques for the data extraction stage in a data mining system. As shown in Fig.1, this stage…
Joint Layout Analysis, Character Detection and Recognition for Historical Document Digitization
Weihong Ma, Hesuo Zhang, Lianwen Jin +3
In this paper, we propose an end-to-end trainable framework for restoring historical documents content that follows the correct reading order. In this framework, two branches named…