most citedSliding Line Point Regression for Shape Robust Scene Text Detection

26 citations · 32 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2019

Adaptive Period Embedding for Representing Oriented Objects in Aerial Images

Yixing Zhu, Xueqing Wu, Jun Du

We propose a novel method for representing oriented objects in aerial images named Adaptive Period Embedding (APE). While traditional object detection methods represent object with…

cs.CV2018

TextMountain: Accurate Scene Text Detection via Instance Segmentation

Yixing Zhu, Jun Du

In this paper, we propose a novel scene text detection method named TextMountain. The key idea of TextMountain is making full use of border-center information. Different from previ…

cs.CV2018

DenseRAN for Offline Handwritten Chinese Character Recognition

Wenchao Wang, Jianshu Zhang, Jun Du +2

Recently, great success has been achieved in offline handwritten Chinese character recognition by using deep learning methods. Chinese characters are mainly logographic and consist…

cs.CV201826 cited

Sliding Line Point Regression for Shape Robust Scene Text Detection

Yixing Zhu, Jun Du

Traditional text detection methods mostly focus on quadrangle text. In this study we propose a novel method named sliding line point regression (SLPR) in order to detect arbitrary-…

cs.CV20186 cited

Trajectory-based Radical Analysis Network for Online Handwritten Chinese Character Recognition

Jianshu Zhang, Yixing Zhu, Jun Du +1

Recently, great progress has been made for online handwritten Chinese character recognition due to the emergence of deep learning techniques. However, previous research mostly trea…