Cong Yao

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Megvii Technology Limited

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

Facial Attribute Transformers for Precise and Robust Makeup Transfer

In this paper, we address the problem of makeup transfer, which aims at ...
04/07/2021 ∙ by Zhaoyi Wan, et al. ∙ 0 ∙ share

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MOST: A Multi-Oriented Scene Text Detector with Localization Refinement

Over the past few years, the field of scene text detection has progresse...
04/02/2021 ∙ by Minghang He, et al. ∙ 0 ∙ share

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Slender Object Detection: Diagnoses and Improvements

In this paper, we are concerned with the detection of a particular type ...
11/17/2020 ∙ by Zhaoyi Wan, et al. ∙ 0 ∙ share

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Differentiable Feature Aggregation Search for Knowledge Distillation

Knowledge distillation has become increasingly important in model compre...
08/02/2020 ∙ by Yushuo Guan, et al. ∙ 28 ∙ 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Cong Yao

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