128 citations · 152 across the 9 of their papers we have counts for
9 papers
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…
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…
Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer
Jiawei Wang, Weihong Lin, 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…
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
Weicong Liang, Yuhui Yuan, Henghui Ding +6
Vision transformers have recently achieved competitive results across various vision tasks but still suffer from heavy computation costs when processing a large number of tokens. M…
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…
DETRs with Hybrid Matching
Ding Jia, Yuhui Yuan, Haodi He +6
One-to-one set matching is a key design for DETR to establish its end-to-end capability, so that object detection does not require a hand-crafted NMS (non-maximum suppression) to r…
Robust Table Detection and Structure Recognition from Heterogeneous Document Images
Chixiang Ma, Weihong Lin, Lei Sun +1
We introduce a new table detection and structure recognition approach named RobusTabNet to detect the boundaries of tables and reconstruct the cellular structure of each table from…
HRFormer: High-Resolution Transformer for Dense Prediction
Yuhui Yuan, Rao Fu, Lang Huang +4
We present a High-Resolution Transformer (HRFormer) that learns high-resolution representations for dense prediction tasks, in contrast to the original Vision Transformer that prod…
ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents
Weihong Lin, Qifang Gao, Lei Sun +4
Recent grid-based document representations like BERTgrid allow the simultaneous encoding of the textual and layout information of a document in a 2D feature map so that state-of-th…