Cong Yao

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Megvii Technology Limited

Ph.D at School of Electronic Information and Communications Huazhong University of Science and Technology

Real-time Scene Text Detection with Differentiable Binarization

Recently, segmentation-based methods are quite popular in scene text det...
11/20/2019 ∙ by Minghui Liao, et al. ∙ 29 ∙ share

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TextScanner: Reading Characters in Order for Robust Scene Text Recognition

Driven by deep learning and the large volume of data, scene text recogni...
12/28/2019 ∙ by Zhaoyi Wan, et al. ∙ 23 ∙ share

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Symmetry-constrained Rectification Network for Scene Text Recognition

Reading text in the wild is a very challenging task due to the diversity...
08/06/2019 ∙ by Mingkun Yang, et al. ∙ 8 ∙ share

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UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World

Synthetic data has been a critical tool for training scene text detectio...
03/24/2020 ∙ by Shangbang Long, et al. ∙ 6 ∙ share

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On Vocabulary Reliance in Scene Text Recognition

The pursuit of high performance on public benchmarks has been the drivin...
05/08/2020 ∙ by Zhaoyi Wan, et al. ∙ 6 ∙ share

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Scene Text Recognition from Two-Dimensional Perspective

Inspired by speech recognition, recent state-of-the-art algorithms mostl...
09/18/2018 ∙ by Minghui Liao, et al. ∙ 4 ∙ share

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Scene Text Detection with Supervised Pyramid Context Network

Scene text detection methods based on deep learning have achieved remark...
11/21/2018 ∙ by Enze Xie, et al. ∙ 4 ∙ share

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SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds

With the development of deep neural networks, the demand for a significa...
07/13/2019 ∙ by Minghui Liao, et al. ∙ 4 ∙ share

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Alchemy: Techniques for Rectification Based Irregular Scene Text Recognition

Reading text from natural images is challenging due to the great variety...
08/30/2019 ∙ by Shangbang Long, et al. ∙ 4 ∙ share

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2D-CTC for Scene Text Recognition

Scene text recognition has been an important, active research topic in c...
07/23/2019 ∙ by Zhaoyi Wan, et al. ∙ 3 ∙ share

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Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis

In this paper, we investigate the Chinese calligraphy synthesis problem:...
06/27/2017 ∙ by Pengyuan Lyu, et al. ∙ 0 ∙ share

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Point Linking Network for Object Detection

Object detection is a core problem in computer vision. With the developm...
06/12/2017 ∙ by Xinggang Wang, et al. ∙ 0 ∙ share

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EAST: An Efficient and Accurate Scene Text Detector

Previous approaches for scene text detection have already achieved promi...
04/11/2017 ∙ by Xinyu Zhou, et al. ∙ 0 ∙ share

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Training Bit Fully Convolutional Network for Fast Semantic Segmentation

Fully convolutional neural networks give accurate, per-pixel prediction ...
12/01/2016 ∙ by He Wen, et al. ∙ 0 ∙ share

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Effective Quantization Methods for Recurrent Neural Networks

Reducing bit-widths of weights, activations, and gradients of a Neural N...
11/30/2016 ∙ by Qinyao He, et al. ∙ 0 ∙ share

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Scene Text Detection via Holistic, Multi-Channel Prediction

Recently, scene text detection has become an active research topic in co...
06/29/2016 ∙ by Cong Yao, et al. ∙ 0 ∙ share

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Multi-Oriented Text Detection with Fully Convolutional Networks

In this paper, we propose a novel approach for text detec- tion in natur...
04/14/2016 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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Robust Scene Text Recognition with Automatic Rectification

Recognizing text in natural images is a challenging task with many unsol...
03/12/2016 ∙ by Baoguang Shi, et al. ∙ 0 ∙ share

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Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4

Different from focused texts present in natural images, which are captur...
11/30/2015 ∙ by Cong Yao, et al. ∙ 0 ∙ share

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Relaxed Multiple-Instance SVM with Application to Object Discovery

Multiple-instance learning (MIL) has served as an important tool for a w...
10/05/2015 ∙ by Xinggang Wang, et al. ∙ 0 ∙ share

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

Image-based sequence recognition has been a long-standing research topic...
07/21/2015 ∙ by Baoguang Shi, et al. ∙ 0 ∙ share

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ICDAR 2015 Text Reading in the Wild Competition

Recently, text detection and recognition in natural scenes are becoming ...
06/10/2015 ∙ by Xinyu Zhou, et al. ∙ 0 ∙ share

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Automatic Script Identification in the Wild

With the rapid increase of transnational communication and cooperation, ...
05/12/2015 ∙ by Baoguang Shi, et al. ∙ 0 ∙ share

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Deep Learning Representation using Autoencoder for 3D Shape Retrieval

We study the problem of how to build a deep learning representation for ...
09/25/2014 ∙ by Zhuotun Zhu, et al. ∙ 0 ∙ share

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Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation

Previous deep learning based state-of-the-art scene text detection metho...
02/25/2018 ∙ by Pengyuan Lyu, et al. ∙ 0 ∙ share

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TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

Driven by deep neural networks and large scale datasets, scene text dete...
07/04/2018 ∙ by Shangbang Long, et al. ∙ 0 ∙ share

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

Recently, models based on deep neural networks have dominated the fields...
07/06/2018 ∙ by Pengyuan Lyu, et al. ∙ 0 ∙ share

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Intra-Ensemble in Neural Networks

Improving model performance is always the key problem in machine learnin...
04/09/2019 ∙ by Yuan Gao, et al. ∙ 0 ∙ share

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A New Perspective for Flexible Feature Gathering in Scene Text Recognition Via Character Anchor Pooling

Irregular scene text recognition has attracted much attention from the r...
02/10/2020 ∙ by Shangbang Long, et al. ∙ 0 ∙ share

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Cong Yao

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