116 citations · 209 across the 26 of their papers we have counts for
15 papers · 1 filter
Skeleton and Font Generation Network for Zero-shot Chinese Character Generation
Mobai Xue, Jun Du, Zhenrong Zhang +5
Automatic font generation remains a challenging research issue, primarily due to the vast number of Chinese characters, each with unique and intricate structures. Our investigation…
UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition
Zhenrong Zhang, Shuhang Liu, Pengfei Hu +4
In the digital era, table structure recognition technology is a critical tool for processing and analyzing large volumes of tabular data. Previous methods primarily focus on visual…
See then Tell: Enhancing Key Information Extraction with Vision Grounding
Shuhang Liu, Zhenrong Zhang, Pengfei Hu +5
In the digital era, the ability to understand visually rich documents that integrate text, complex layouts, and imagery is critical. Traditional Key Information Extraction (KIE) me…
Count, Decode and Fetch: A New Approach to Handwritten Chinese Character Error Correction
Pengfei Hu, Jiefeng Ma, Zhenrong Zhang +2
Recently, handwritten Chinese character error correction has been greatly improved by employing encoder-decoder methods to decompose a Chinese character into an ideographic descrip…
SEMv2: Table Separation Line Detection Based on Instance Segmentation
Zhenrong Zhang, Pengfei Hu, Jiefeng Ma +6
Table structure recognition is an indispensable element for enabling machines to comprehend tables. Its primary purpose is to identify the internal structure of a table. Neverthele…
Multimodal Tree Decoder for Table of Contents Extraction in Document Images
Pengfei Hu, Zhenrong Zhang, Jianshu Zhang +2
Table of contents (ToC) extraction aims to extract headings of different levels in documents to better understand the outline of the contents, which can be widely used for document…
Multimodal Pre-training Based on Graph Attention Network for Document Understanding
Zhenrong Zhang, Jiefeng Ma, Jun Du +2
Document intelligence as a relatively new research topic supports many business applications. Its main task is to automatically read, understand, and analyze documents. However, du…
Split, embed and merge: An accurate table structure recognizer
Zhenrong Zhang, Jianshu Zhang, Jun Du
Table structure recognition is an essential part for making machines understand tables. Its main task is to recognize the internal structure of a table. However, due to the complex…
Stroke Constrained Attention Network for Online Handwritten Mathematical Expression Recognition
Jiaming Wang, Jun Du, Jianshu Zhang
In this paper, we propose a novel stroke constrained attention network (SCAN) which treats stroke as the basic unit for encoder-decoder based online handwritten mathematical expres…
Episodic Training for Domain Generalization
Da Li, Jianshu Zhang, Yongxin Yang +3
Domain generalization (DG) is the challenging and topical problem of learning models that generalize to novel testing domains with different statistics than a set of known training…
DenseRAN for Offline Handwritten Chinese Character Recognition
Wenchao Wang, Jianshu Zhang, Jun Du +2
Recently, great success has been achieved in offline handwritten Chinese character recognition by using deep learning methods. Chinese characters are mainly logographic and consist…
Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition
Jianshu Zhang, Jun Du, Lirong Dai
Handwritten mathematical expression recognition is a challenging problem due to the complicated two-dimensional structures, ambiguous handwriting input and variant scales of handwr…
Trajectory-based Radical Analysis Network for Online Handwritten Chinese Character Recognition
Jianshu Zhang, Yixing Zhu, Jun Du +1
Recently, great progress has been made for online handwritten Chinese character recognition due to the emergence of deep learning techniques. However, previous research mostly trea…
A GRU-based Encoder-Decoder Approach with Attention for Online Handwritten Mathematical Expression Recognition
Jianshu Zhang, Jun Du, Lirong Dai
In this study, we present a novel end-to-end approach based on the encoder-decoder framework with the attention mechanism for online handwritten mathematical expression recognition…
Radical analysis network for zero-shot learning in printed Chinese character recognition
Jianshu Zhang, Yixing Zhu, Jun Du +1
Chinese characters have a huge set of character categories, more than 20,000 and the number is still increasing as more and more novel characters continue being created. However, t…