90 citations · 155 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
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-…
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…
Radical analysis network for zero-shot learning in printed Chinese character recognition
Jianshu Zhang, Yixing Zhu, Jun Du +1
Chinese characters have a huge set of character categories, more than 20,000 and the number is still increasing as more and more novel characters continue being created. However, t…