2 citations · 5 across the 5 of their papers we have counts for
6 papers
HIP: Hierarchical Point Modeling and Pre-training for Visual Information Extraction
Rujiao Long, Pengfei Wang, Zhibo Yang +1
End-to-end visual information extraction (VIE) aims at integrating the hierarchical subtasks of VIE, including text spotting, word grouping, and entity labeling, into a unified fra…
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…
Modeling Entities as Semantic Points for Visual Information Extraction in the Wild
Zhibo Yang, Rujiao Long, Pengfei Wang +5
Recently, Visual Information Extraction (VIE) has been becoming increasingly important in both the academia and industry, due to the wide range of real-world applications. Previous…
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…
Revisiting Document Image Dewarping by Grid Regularization
Xiangwei Jiang, Rujiao Long, Nan Xue +3
This paper addresses the problem of document image dewarping, which aims at eliminating the geometric distortion in document images for document digitization. Instead of designing…
Parsing Table Structures in the Wild
Rujiao Long, Wen Wang, Nan Xue +4
This paper tackles the problem of table structure parsing (TSP) from images in the wild. In contrast to existing studies that mainly focus on parsing well-aligned tabular images wi…