6 citations · 19 across the 9 of their papers we have counts for
9 papers
WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation
Zirui Shao, Feiyu Gao, Hangdi Xing +5
In the era of content creation revolution propelled by advancements in generative models, the field of web design remains unexplored despite its critical role in modern digital com…
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data
Yufan Shen, Chuwei Luo, Zhaoqing Zhu +5
Recently, large language models (LLMs) and multimodal large language models (MLLMs) have demonstrated promising results on document visual question answering (VQA) task, particular…
LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding
Chuwei Luo, Yufan Shen, Zhaoqing Zhu +3
Recently, leveraging large language models (LLMs) or multimodal large language models (MLLMs) for document understanding has been proven very promising. However, previous works tha…
LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-training
Rujiao Long, Hangdi Xing, Zhibo Yang +4
Table structure recognition (TSR) aims at extracting tables in images into machine-understandable formats. Recent methods solve this problem by predicting the adjacency relations o…
Vision Grid Transformer for Document Layout Analysis
Cheng Da, Chuwei Luo, Qi Zheng +1
Document pre-trained models and grid-based models have proven to be very effective on various tasks in Document AI. However, for the document layout analysis (DLA) task, existing d…
LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition
Changxu Cheng, Peng Wang, Cheng Da +2
The diversity in length constitutes a significant characteristic of text. Due to the long-tail distribution of text lengths, most existing methods for scene text recognition (STR)…
GeoLayoutLM: Geometric Pre-training for Visual Information Extraction
Chuwei Luo, Changxu Cheng, Qi Zheng +1
Visual information extraction (VIE) plays an important role in Document Intelligence. Generally, it is divided into two tasks: semantic entity recognition (SER) and relation extrac…
LORE: Logical Location Regression Network for Table Structure Recognition
Hangdi Xing, Feiyu Gao, Rujiao Long +5
Table structure recognition (TSR) aims at extracting tables in images into machine-understandable formats. Recent methods solve this problem by predicting the adjacency relations o…
Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding
Chuwei Luo, Guozhi Tang, Qi Zheng +5
Multi-modal document pre-trained models have proven to be very effective in a variety of visually-rich document understanding (VrDU) tasks. Though existing document pre-trained mod…