activity
20172021
most citedDetecting Curve Text in the Wild: New Dataset and New Solution

212 citations · 221 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV20219 cited

Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution

Jiapeng Wang, Chongyu Liu, Lianwen Jin +6

Visual information extraction (VIE) has attracted considerable attention recently owing to its various advanced applications such as document understanding, automatic marking and i…

cs.CV2019

Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection

Yuliang Liu, Tong He, Hao Chen +5

Multi-orientation scene text detection has recently gained significant research attention. Previous methods directly predict words or text lines, typically by using quadrilateral s…

cs.CV2019

ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

Chee-Kheng Chng, Yuliang Liu, Yipeng Sun +11

This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT) that consists of three major challenges: i) scene text detection, ii) scene text recogn…

cs.CV2019

Tightness-aware Evaluation Protocol for Scene Text Detection

Yuliang Liu, Lianwen Jin, Zecheng Xie +3

Evaluation protocols play key role in the developmental progress of text detection methods. There are strict requirements to ensure that the evaluation methods are fair, objective…

cs.CV2018

EnsNet: Ensconce Text in the Wild

Shuaitao Zhang, Yuliang Liu, Lianwen Jin +2

A new method is proposed for removing text from natural images. The challenge is to first accurately localize text on the stroke-level and then replace it with a visually plausible…

cs.CV2017212 cited

Detecting Curve Text in the Wild: New Dataset and New Solution

Liu Yuliang, Jin Lianwen, Zhang Shuaitao +1

Scene text detection has been made great progress in recent years. The detection manners are evolving from axis-aligned rectangle to rotated rectangle and further to quadrangle. Ho…