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20152023
most citedDetecting Curve Text in the Wild: New Dataset and New Solution

212 citations · 1k across the 74 of their papers we have counts for

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Showing 2017Show all

9 papers · 1 filter

cs.CV2017★ 212 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…

cs.CV2017★ 17 cited

Feature Enhancement Network: A Refined Scene Text Detector

Sheng Zhang, Yuliang Liu, Lianwen Jin +1

In this paper, we propose a refined scene text detector with a \textit{novel} Feature Enhancement Network (FEN) for Region Proposal and Text Detection Refinement. Retrospectively,…

cs.CV2017★ 12 cited

Developing the Path Signature Methodology and its Application to Landmark-based Human Action Recognition

Weixin Yang, Terry Lyons, Hao Ni +2

Landmark-based human action recognition in videos is a challenging task in computer vision. One key step is to design a generic approach that generates discriminative features for…

cs.CV2017★ 5 cited

Online Signature Verification using Recurrent Neural Network and Length-normalized Path Signature

Songxuan Lai, Lianwen Jin, Weixin Yang

Inspired by the great success of recurrent neural networks (RNNs) in sequential modeling, we introduce a novel RNN system to improve the performance of online signature verificatio…

cs.CV2017★ 2 cited

Design of a Very Compact CNN Classifier for Online Handwritten Chinese Character Recognition Using DropWeight and Global Pooling

Xuefeng Xiao, Yafeng Yang, Tasweer Ahmad +2

Currently, owing to the ubiquity of mobile devices, online handwritten Chinese character recognition (HCCR) has become one of the suitable choice for feeding input to cell phones a…

cs.CV2017

DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition

Shuangping Huangm Zhuoyao Zhong, Lianwen Jin, Shuye Zhang +1

Chinese font recognition (CFR) has gained significant attention in recent years. However, due to the sparsity of labeled font samples and the structural complexity of Chinese chara…

cs.CV2017★ 58 cited

Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection

Yuliang Liu, Lianwen Jin

Detecting incidental scene text is a challenging task because of multi-orientation, perspective distortion, and variation of text size, color and scale. Retrospective research has…

cs.CV2017★ 1 cited

Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition

Xuefeng Xiao, Lianwen Jin, Yafeng Yang +3

Like other problems in computer vision, offline handwritten Chinese character recognition (HCCR) has achieved impressive results using convolutional neural network (CNN)-based meth…

cs.CV2017★ 53 cited

Toward high-performance online HCCR: a CNN approach with DropDistortion, path signature and spatial stochastic max-pooling

Songxuan Lai, Lianwen Jin, Weixin Yang

This paper presents an investigation of several techniques that increase the accuracy of online handwritten Chinese character recognition (HCCR). We propose a new training strategy…