Search Results for author: Pengyuan Lyu

Found 10 papers, 6 papers with code

PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network

1 code implementation12 Apr 2021 Pengfei Wang, Chengquan Zhang, Fei Qi, Shanshan Liu, Xiaoqiang Zhang, Pengyuan Lyu, Junyu Han, Jingtuo Liu, Errui Ding, Guangming Shi

With a PG-CTC decoder, we gather high-level character classification vectors from two-dimensional space and decode them into text symbols without NMS and RoI operations involved, which guarantees high efficiency.

 Ranked #1 on Scene Text Detection on ICDAR 2015 (Accuracy metric)

Scene Text Detection Text Spotting

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

1 code implementation ECCV 2018 Minghui Liao, Pengyuan Lyu, Minghang He, Cong Yao, Wenhao Wu, Xiang Bai

Moreover, we further investigate the recognition module of our method separately, which significantly outperforms state-of-the-art methods on both regular and irregular text datasets for scene text recognition.

Scene Text Scene Text Recognition +2

2D Attentional Irregular Scene Text Recognizer

no code implementations13 Jun 2019 Pengyuan Lyu, Zhicheng Yang, Xinhang Leng, Xiao-Jun Wu, Ruiyu Li, Xiaoyong Shen

Irregular scene text, which has complex layout in 2D space, is challenging to most previous scene text recognizers.

Scene Text

Scene Text Recognition from Two-Dimensional Perspective

no code implementations18 Sep 2018 Minghui Liao, Jian Zhang, Zhaoyi Wan, Fengming Xie, Jiajun Liang, Pengyuan Lyu, Cong Yao, Xiang Bai

Inspired by speech recognition, recent state-of-the-art algorithms mostly consider scene text recognition as a sequence prediction problem.

Scene Text Scene Text Recognition +2

ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

3 code implementations good 2018 Baoguang Shi, Mingkun Yang, Xinggang Wang, Pengyuan Lyu, Cong Yao, and Xiang Bai

SCENE text recognition has attracted great interest from the academia and the industry in recent years owing to its importance in a wide range of applications.

Optical Character Recognition Rectification +2

Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis

no code implementations27 Jun 2017 Pengyuan Lyu, Xiang Bai, Cong Yao, Zhen Zhu, Tengteng Huang, Wenyu Liu

In this paper, we investigate the Chinese calligraphy synthesis problem: synthesizing Chinese calligraphy images with specified style from standard font(eg.

Image-to-Image Translation

Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification

no code implementations15 Apr 2017 Xiang Bai, Mingkun Yang, Pengyuan Lyu, Yongchao Xu, Jiebo Luo

Then, we combine the word embedding of the recognized words and the deep visual features into a single representation, which is optimized by a convolutional neural network for fine-grained image classification.

Fine-Grained Image Classification General Classification +1

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