Search Results for author: Baoguang Shi

Found 17 papers, 10 papers with code

Strokelets: A Learned Multi-Scale Representation for Scene Text Recognition

no code implementations CVPR 2014 Cong Yao, Xiang Bai, Baoguang Shi, Wenyu Liu

Driven by the wide range of applications, scene text detection and recognition have become active research topics in computer vision.

Scene Text Detection Scene Text Recognition +1

Deep Regression for Face Alignment

no code implementations18 Sep 2014 Baoguang Shi, Xiang Bai, Wenyu Liu, Jingdong Wang

In this paper, we present a deep regression approach for face alignment.

Face Alignment regression

Automatic Script Identification in the Wild

no code implementations12 May 2015 Baoguang Shi, Cong Yao, Chengquan Zhang, Xiaowei Guo, Feiyue Huang, Xiang Bai

With the rapid increase of transnational communication and cooperation, people frequently encounter multilingual scenarios in various situations.

General Classification Image Classification

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

83 code implementations21 Jul 2015 Baoguang Shi, Xiang Bai, Cong Yao

In this paper, we investigate the problem of scene text recognition, which is among the most important and challenging tasks in image-based sequence recognition.

Optical Character Recognition (OCR) Scene Text Recognition

Deep FisherNet for Object Classification

no code implementations31 Jul 2016 Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu

Our proposed FisherNet combines convolutional neural network training and Fisher Vector encoding in a single end-to-end structure.

Classification Computational Efficiency +3

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

3 code implementations21 Nov 2016 Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu

This paper presents an end-to-end trainable fast scene text detector, named TextBoxes, which detects scene text with both high accuracy and efficiency in a single network forward pass, involving no post-process except for a standard non-maximum suppression.

Detecting Oriented Text in Natural Images by Linking Segments

6 code implementations CVPR 2017 Baoguang Shi, Xiang Bai, Serge Belongie

It achieves an f-measure of 75. 0% on the standard ICDAR 2015 Incidental (Challenge 4) benchmark, outperforming the previous best by a large margin.

Curved Text Detection Text Detection

TextBoxes++: A Single-Shot Oriented Scene Text Detector

3 code implementations9 Jan 2018 Minghui Liao, Baoguang Shi, Xiang Bai

In this paper, we present an end-to-end trainable fast scene text detector, named TextBoxes++, which detects arbitrary-oriented scene text with both high accuracy and efficiency in a single network forward pass.

object-detection Object Detection +3

Progressive and Aligned Pose Attention Transfer for Person Image Generation

1 code implementation22 Mar 2021 Zhen Zhu, Tengteng Huang, Mengde Xu, Baoguang Shi, Wenqing Cheng, Xiang Bai

This paper proposes a new generative adversarial network for pose transfer, i. e., transferring the pose of a given person to a target pose.

Data Augmentation Generative Adversarial Network +2

Improving Structured Text Recognition with Regular Expression Biasing

no code implementations10 Nov 2021 Baoguang Shi, WenFeng Cheng, Yijuan Lu, Cha Zhang, Dinei Florencio

We study the problem of recognizing structured text, i. e. text that follows certain formats, and propose to improve the recognition accuracy of structured text by specifying regular expressions (regexes) for biasing.

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