activity
20192021
most citedDecoupled Attention Network for Text Recognition

8 citations · 10 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20212 cited

Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences

Jiapeng Wang, Tianwei Wang, Guozhi Tang +4

Visual information extraction (VIE) has attracted increasing attention in recent years. The existing methods usually first organized optical character recognition (OCR) results int…

cs.CV2021

Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter

Tianwei Wang, Yuanzhi Zhu, Lianwen Jin +5

Text recognition is a popular research subject with many associated challenges. Despite the considerable progress made in recent years, the text recognition task itself is still co…

cs.CV2020

Text Recognition in the Wild: A Survey

Xiaoxue Chen, Lianwen Jin, Yuanzhi Zhu +2

The history of text can be traced back over thousands of years. Rich and precise semantic information carried by text is important in a wide range of vision-based application scena…

cs.CV20198 cited

Decoupled Attention Network for Text Recognition

Tianwei Wang, Yuanzhi Zhu, Lianwen Jin +5

Text recognition has attracted considerable research interests because of its various applications. The cutting-edge text recognition methods are based on attention mechanisms. How…

cs.CV2019

Adaptive Embedding Gate for Attention-Based Scene Text Recognition

Xiaoxue Chen, Tianwei Wang, Yuanzhi Zhu +2

Scene text recognition has attracted particular research interest because it is a very challenging problem and has various applications. The most cutting-edge methods are attention…