104 citations · 162 across the 12 of their papers we have counts for
12 papers
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…
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…
Detect-Order-Construct: A Tree Construction based Approach for Hierarchical Document Structure Analysis
Jiawei Wang, Kai Hu, Zhuoyao Zhong +2
Document structure analysis (aka document layout analysis) is crucial for understanding the physical layout and logical structure of documents, with applications in information ret…
Exploring Predicate Visual Context in Detecting Human-Object Interactions
Frederic Z. Zhang, Yuhui Yuan, Dylan Campbell +2
Recently, the DETR framework has emerged as the dominant approach for human--object interaction (HOI) research. In particular, two-stage transformer-based HOI detectors are amongst…
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…
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…
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks
Chixiang Ma, Lei Sun, Zhuoyao Zhong +1
We introduce a new arbitrary-shaped text detection approach named ReLaText by formulating text detection as a visual relationship detection problem. To demonstrate the effectivenes…
Mask R-CNN with Pyramid Attention Network for Scene Text Detection
Zhida Huang, Zhuoyao Zhong, Lei Sun +1
In this paper, we present a new Mask R-CNN based text detection approach which can robustly detect multi-oriented and curved text from natural scene images in a unified manner. To…
An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches
Zhuoyao Zhong, Lei Sun, Qiang Huo
The anchor mechanism of Faster R-CNN and SSD framework is considered not effective enough to scene text detection, which can be attributed to its IoU based matching criterion betwe…
DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition
Shuangping Huangm Zhuoyao Zhong, Lianwen Jin, Shuye Zhang +1
Chinese font recognition (CFR) has gained significant attention in recent years. However, due to the sparsity of labeled font samples and the structural complexity of Chinese chara…
DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
Zhuoyao Zhong, Lianwen Jin, Shuye Zhang +1
In this paper, we develop a novel unified framework called DeepText for text region proposal generation and text detection in natural images via a fully convolutional neural networ…
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps
Zhuoyao Zhong, Lianwen Jin, Zecheng Xie
Just like its great success in solving many computer vision problems, the convolutional neural networks (CNN) provided new end-to-end approach to handwritten Chinese character reco…