activity
20182021
most citedSpatial Dual-Modality Graph Reasoning for Key Information Extraction

16 citations · 46 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV202115 cited

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding

Zhanghui Kuang, Hongbin Sun, Zhizhong Li +10

We present MMOCR-an open-source toolbox which provides a comprehensive pipeline for text detection and recognition, as well as their downstream tasks such as named entity recogniti…

cs.CV2021

Vision Transformer with Progressive Sampling

Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang +4

Transformers with powerful global relation modeling abilities have been introduced to fundamental computer vision tasks recently. As a typical example, the Vision Transformer (ViT)…

cs.CV202116 cited

Spatial Dual-Modality Graph Reasoning for Key Information Extraction

Hongbin Sun, Zhanghui Kuang, Xiaoyu Yue +2

Key information extraction from document images is of paramount importance in office automation. Conventional template matching based approaches fail to generalize well to document…

cs.CV20202 cited

HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation

Meng Wei, Chun Yuan, Xiaoyu Yue +1

Scene graph generation aims to produce structured representations for images, which requires to understand the relations between objects. Due to the continuous nature of deep neura…

cs.CV202013 cited

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin +2

The attention-based encoder-decoder framework has recently achieved impressive results for scene text recognition, and many variants have emerged with improvements in recognition q…

cs.CV2019

Geometry Normalization Networks for Accurate Scene Text Detection

Youjiang Xu, Jiaqi Duan, Zhanghui Kuang +4

Large geometry (e.g., orientation) variances are the key challenges in the scene text detection. In this work, we first conduct experiments to investigate the capacity of networks…