activity
20152019
most citedScene Text Detection via Holistic, Multi-Channel Prediction

212 citations · 306 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV201930 cited

2D-CTC for Scene Text Recognition

Zhaoyi Wan, Fengming Xie, Yibo Liu +2

Scene text recognition has been an important, active research topic in computer vision for years. Previous approaches mainly consider text as 1D signals and cast scene text recogni…

cs.CV201711 cited

Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis

Pengyuan Lyu, Xiang Bai, Cong Yao +3

In this paper, we investigate the Chinese calligraphy synthesis problem: synthesizing Chinese calligraphy images with specified style from standard font(eg. Hei font) images (Fig.…

cs.CV201725 cited

Point Linking Network for Object Detection

Xinggang Wang, Kaibing Chen, Zilong Huang +2

Object detection is a core problem in computer vision. With the development of deep ConvNets, the performance of object detectors has been dramatically improved. The deep ConvNets…

cs.CV2016212 cited

Scene Text Detection via Holistic, Multi-Channel Prediction

Cong Yao, Xiang Bai, Nong Sang +3

Recently, scene text detection has become an active research topic in computer vision and document analysis, because of its great importance and significant challenge. However, vas…

cs.CV2016

Robust Scene Text Recognition with Automatic Rectification

Baoguang Shi, Xinggang Wang, Pengyuan Lyu +2

Recognizing text in natural images is a challenging task with many unsolved problems. Different from those in documents, words in natural images often possess irregular shapes, whi…

cs.CV2016

Multi-Oriented Text Detection with Fully Convolutional Networks

Zheng Zhang, Chengquan Zhang, Wei Shen +3

In this paper, we propose a novel approach for text detec- tion in natural images. Both local and global cues are taken into account for localizing text lines in a coarse-to-fine p…