most citedTRIE++: Towards End-to-End Information Extraction from Visually Rich Documents

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

collaborators

5 papers

cs.CV2023

Retinex-guided Channel-grouping based Patch Swap for Arbitrary Style Transfer

Chang Liu, Yi Niu, Mingming Ma +2

The basic principle of the patch-matching based style transfer is to substitute the patches of the content image feature maps by the closest patches from the style image feature ma…

cs.IT2023

AMGC: Adaptive match-based genomic compression algorithm

Jia Wang, Yi Niu, Tianyi Xu +3

Motivation: Despite significant advances in Third-Generation Sequencing (TGS) technologies, Next-Generation Sequencing (NGS) technologies remain dominant in the current sequencing…

cs.CV2022

Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting

Ying Chen, Liang Qiao, Zhanzhan Cheng +3

End-to-end text spotting has attached great attention recently due to its benefits on global optimization and high maintainability for real applications. However, the input scale h…

cs.CV20224 cited

TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents

Zhanzhan Cheng, Peng Zhang, Can Li +6

Recently, automatically extracting information from visually rich documents (e.g., tickets and resumes) has become a hot and vital research topic due to its widespread commercial v…

cs.CV2022

DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding

Liang Qiao, Hui Jiang, Ying Chen +9

This paper presents DavarOCR, an open-source toolbox for OCR and document understanding tasks. DavarOCR currently implements 19 advanced algorithms, covering 9 different task forms…