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20212026
most citedSEMv2: Table Separation Line Detection Based on Instance Segmentation

2 citations · 7 across the 21 of their papers we have counts for

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11 papers · 1 filter

cs.CV2025

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…

cs.CV2024

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language

Qikai Chang, Mingjun Chen, Changpeng Pi +6

The primary objective of Optical Chemical Structure Recognition is to identify chemical structure images into corresponding markup sequences. However, the complex two-dimensional s…

cs.CV2024★ 1 cited

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…

cs.CV2024

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…

cs.CV2024

SEMv3: A Fast and Robust Approach to Table Separation Line Detection

Chunxia Qin, Zhenrong Zhang, Pengfei Hu +3

Table structure recognition (TSR) aims to parse the inherent structure of a table from its input image. The `"split-and-merge" paradigm is a pivotal approach to parse table structu…

cs.CV2023

Bidirectional Trained Tree-Structured Decoder for Handwritten Mathematical Expression Recognition

Hanbo Cheng, Chenyu Liu, Pengfei Hu +3

The Handwritten Mathematical Expression Recognition (HMER) task is a critical branch in the field of OCR. Recent studies have demonstrated that incorporating bidirectional context…

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.CV2023★ 2 cited

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…

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…