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20212023
most citedMultimodal Tree Decoder for Table of Contents Extraction in Document Images

2 citations · 4 across the 5 of their papers we have counts for

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5 papers

cs.CV2023

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…

cs.CL2023★ 1 cited

HRDoc: Dataset and Baseline Method Toward Hierarchical Reconstruction of Document Structures

Jiefeng Ma, Jun Du, Pengfei Hu +4

The problem of document structure reconstruction refers to converting digital or scanned documents into corresponding semantic structures. Most existing works mainly focus on split…

cs.CV2022★ 2 cited

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…

cs.CV2022★ 1 cited

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…

cs.CV2021

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…