b'Cong Yao'

research

∙ 06/27/2022

Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding

Multi-modal document pre-trained models have proven to be very effective...

Chuwei Luo, et al. ∙

research

∙ 04/29/2022

Vision-Language Pre-Training for Boosting Scene Text Detectors

Recently, vision-language joint representation learning has proven to be...

Sibo Song, et al. ∙

research

∙ 02/21/2022

Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion

Recently, segmentation-based scene text detection methods have drawn ext...

Minghui Liao, et al. ∙

research

∙ 10/20/2021

ARTS: Eliminating Inconsistency between Text Detection and Recognition with Auto-Rectification Text Spotter

Recent approaches for end-to-end text spotting have achieved promising r...

Humen Zhong, et al. ∙

research

∙ 04/07/2021

Facial Attribute Transformers for Precise and Robust Makeup Transfer

In this paper, we address the problem of makeup transfer, which aims at ...

Zhaoyi Wan, et al. ∙

research

∙ 04/02/2021

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

Over the past few years, the field of scene text detection has progresse...

Minghang He, et al. ∙

research

∙ 11/17/2020

Slender Object Detection: Diagnoses and Improvements

In this paper, we are concerned with the detection of a particular type ...

Zhaoyi Wan, et al. ∙

research

∙ 08/02/2020

Differentiable Feature Aggregation Search for Knowledge Distillation

Knowledge distillation has become increasingly important in model compre...

Yushuo Guan, et al. ∙

research

∙ 05/08/2020

On Vocabulary Reliance in Scene Text Recognition

The pursuit of high performance on public benchmarks has been the drivin...

Zhaoyi Wan, et al. ∙

research

∙ 03/24/2020

UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World

Synthetic data has been a critical tool for training scene text detectio...

Shangbang Long, et al. ∙

research

∙ 02/10/2020

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...

Shangbang Long, et al. ∙

research

∙ 12/28/2019

TextScanner: Reading Characters in Order for Robust Scene Text Recognition

Driven by deep learning and the large volume of data, scene text recogni...

Zhaoyi Wan, et al. ∙

research

∙ 11/20/2019

Real-time Scene Text Detection with Differentiable Binarization

Recently, segmentation-based methods are quite popular in scene text det...

Minghui Liao, et al. ∙

research

∙ 08/30/2019

Alchemy: Techniques for Rectification Based Irregular Scene Text Recognition

Reading text from natural images is challenging due to the great variety...

Shangbang Long, et al. ∙

research

∙ 08/06/2019

Symmetry-constrained Rectification Network for Scene Text Recognition

Reading text in the wild is a very challenging task due to the diversity...

Mingkun Yang, et al. ∙

research

∙ 07/23/2019

2D-CTC for Scene Text Recognition

Scene text recognition has been an important, active research topic in c...

Zhaoyi Wan, et al. ∙

research

∙ 07/13/2019

SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds

With the development of deep neural networks, the demand for a significa...

Minghui Liao, et al. ∙

research

∙ 04/09/2019

Intra-Ensemble in Neural Networks

Improving model performance is always the key problem in machine learnin...

Yuan Gao, et al. ∙

research

∙ 11/21/2018

Scene Text Detection with Supervised Pyramid Context Network

Scene text detection methods based on deep learning have achieved remark...

Enze Xie, et al. ∙

research

∙ 09/18/2018

Scene Text Recognition from Two-Dimensional Perspective

Inspired by speech recognition, recent state-of-the-art algorithms mostl...

Minghui Liao, et al. ∙

research

∙ 07/06/2018

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...

Pengyuan Lyu, et al. ∙

research

∙ 07/04/2018

TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

Driven by deep neural networks and large scale datasets, scene text dete...

Shangbang Long, et al. ∙

research

∙ 02/25/2018

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

Previous deep learning based state-of-the-art scene text detection metho...

Pengyuan Lyu, et al. ∙

research

∙ 06/27/2017

Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis

In this paper, we investigate the Chinese calligraphy synthesis problem:...

Pengyuan Lyu, et al. ∙

research

∙ 06/12/2017

Point Linking Network for Object Detection

Object detection is a core problem in computer vision. With the developm...

Xinggang Wang, et al. ∙

research

∙ 04/11/2017

EAST: An Efficient and Accurate Scene Text Detector

Previous approaches for scene text detection have already achieved promi...

Xinyu Zhou, et al. ∙

research

∙ 12/01/2016

Training Bit Fully Convolutional Network for Fast Semantic Segmentation

Fully convolutional neural networks give accurate, per-pixel prediction ...

He Wen, et al. ∙

research

∙ 11/30/2016

Effective Quantization Methods for Recurrent Neural Networks

Reducing bit-widths of weights, activations, and gradients of a Neural N...

Qinyao He, et al. ∙

research

∙ 06/29/2016

Scene Text Detection via Holistic, Multi-Channel Prediction

Recently, scene text detection has become an active research topic in co...

Cong Yao, et al. ∙

research

∙ 04/14/2016

Multi-Oriented Text Detection with Fully Convolutional Networks

In this paper, we propose a novel approach for text detec- tion in natur...

Zheng Zhang, et al. ∙

research

∙ 03/12/2016

Robust Scene Text Recognition with Automatic Rectification

Recognizing text in natural images is a challenging task with many unsol...

Baoguang Shi, et al. ∙

research

∙ 11/30/2015

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...

Cong Yao, et al. ∙

research

∙ 10/05/2015

Relaxed Multiple-Instance SVM with Application to Object Discovery

Multiple-instance learning (MIL) has served as an important tool for a w...

Xinggang Wang, et al. ∙

research

∙ 07/21/2015

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...

Baoguang Shi, et al. ∙

research

∙ 06/10/2015

ICDAR 2015 Text Reading in the Wild Competition

Recently, text detection and recognition in natural scenes are becoming ...

Xinyu Zhou, et al. ∙

research

∙ 05/12/2015

Automatic Script Identification in the Wild

With the rapid increase of transnational communication and cooperation, ...

Baoguang Shi, et al. ∙

research

∙ 09/25/2014

Deep Learning Representation using Autoencoder for 3D Shape Retrieval

We study the problem of how to build a deep learning representation for ...

Zhuotun Zhu, et al. ∙

Cong Yao

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