activity
20222024
most citedTSRFormer: Table Structure Recognition with Transformers

9 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Dynamic Relation Transformer for Contextual Text Block Detection

Jiawei Wang, Shunchi Zhang, Kai Hu +4

Contextual Text Block Detection (CTBD) is the task of identifying coherent text blocks within the complexity of natural scenes. Previous methodologies have treated CTBD as either a…

cs.CL2024

UniVIE: A Unified Label Space Approach to Visual Information Extraction from Form-like Documents

Kai Hu, Jiawei Wang, Weihong Lin +3

Existing methods for Visual Information Extraction (VIE) from form-like documents typically fragment the process into separate subtasks, such as key information extraction, key-val…

cs.CV2023

Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model

Haisong Ding, Bozhi Luan, Dongnan Gui +2

Constructing a highly accurate handwritten OCR system requires large amounts of representative training data, which is both time-consuming and expensive to collect. To mitigate the…

cs.CV2023

Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition

Dongnan Gui, Kai Chen, Haisong Ding +1

There are more than 80,000 character categories in Chinese while most of them are rarely used. To build a high performance handwritten Chinese character recognition (HCCR) system s…

cs.CL20231 cited

A Question-Answering Approach to Key Value Pair Extraction from Form-like Document Images

Kai Hu, Zhuoyuan Wu, Zhuoyao Zhong +3

In this paper, we present a new question-answering (QA) based key-value pair extraction approach, called KVPFormer, to robustly extracting key-value relationships between entities…

cs.CV20229 cited

TSRFormer: Table Structure Recognition with Transformers

Weihong Lin, Zheng Sun, Chixiang Ma +4

We present a new table structure recognition (TSR) approach, called TSRFormer, to robustly recognizing the structures of complex tables with geometrical distortions from various ta…