Search Results for author: Chengquan Zhang

Found 13 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)

Optical Character Recognition Scene Text Detection +1

Learning Global Structure Consistency for Robust Object Tracking

no code implementations26 Aug 2020 Bi Li, Chengquan Zhang, Zhibin Hong, Xu Tang, Jingtuo Liu, Junyu Han, Errui Ding, Wenyu Liu

Unlike many existing trackers that focus on modeling only the target, in this work, we consider the \emph{transient variations of the whole scene}.

Visual Object Tracking

An End-to-end Video Text Detector with Online Tracking

no code implementations20 Aug 2019 Hongyuan Yu, Chengquan Zhang, Xuan Li, Junyu Han, Errui Ding, Liang Wang

Most existing methods attempt to enhance the performance of video text detection by cooperating with video text tracking, but treat these two tasks separately.

Editing Text in the Wild

2 code implementations8 Aug 2019 Liang Wu, Chengquan Zhang, Jiaming Liu, Junyu Han, Jingtuo Liu, Errui Ding, Xiang Bai

Specifically, we propose an end-to-end trainable style retention network (SRNet) that consists of three modules: text conversion module, background inpainting module and fusion module.

Image Inpainting Image-to-Image Translation +1

Detecting Text in the Wild with Deep Character Embedding Network

no code implementations2 Jan 2019 Jiaming Liu, Chengquan Zhang, Yipeng Sun, Junyu Han, Errui Ding

However, text in the wild is usually perspectively distorted or curved, which can not be easily tackled by existing approaches.

TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network

no code implementations24 Dec 2018 Yipeng Sun, Chengquan Zhang, Zuming Huang, Jiaming Liu, Junyu Han, Errui Ding

Reading text from images remains challenging due to multi-orientation, perspective distortion and especially the curved nature of irregular text.

Optical Character Recognition

WordSup: Exploiting Word Annotations for Character based Text Detection

no code implementations ICCV 2017 Han Hu, Chengquan Zhang, Yuxuan Luo, Yuzhuo Wang, Junyu Han, Errui Ding

When applied in scene text detection, we are thus able to train a robust character detector by exploiting word annotations in the rich large-scale real scene text datasets, e. g. ICDAR15 and COCO-text.

Scene Text Detection

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

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