3 citations · 4 across the 2 of their papers we have counts for
7 papers
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
Shangbang Long, Cong Yao
Synthetic data has been a critical tool for training scene text detection and recognition models. On the one hand, synthetic word images have proven to be a successful substitute f…
A New Perspective for Flexible Feature Gathering in Scene Text Recognition Via Character Anchor Pooling
Shangbang Long, Yushuo Guan, Kaigui Bian +1
Irregular scene text recognition has attracted much attention from the research community, mainly due to the complexity of shapes of text in natural scene. However, recent methods…
Rethinking Irregular Scene Text Recognition
Shangbang Long, Yushuo Guan, Bingxuan Wang +2
Reading text from natural images is challenging due to the great variety in text font, color, size, complex background and etc.. The perspective distortion and non-linear spatial a…
SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds
Minghui Liao, Boyu Song, Shangbang Long +3
With the development of deep neural networks, the demand for a significant amount of annotated training data becomes the performance bottlenecks in many fields of research and appl…
Scene Text Detection and Recognition: The Deep Learning Era
Shangbang Long, Xin He, Cong Yao
With the rise and development of deep learning, computer vision has been tremendously transformed and reshaped. As an important research area in computer vision, scene text detecti…
Automatic Judgment Prediction via Legal Reading Comprehension
Shangbang Long, Cunchao Tu, Zhiyuan Liu +1
Automatic judgment prediction aims to predict the judicial results based on case materials. It has been studied for several decades mainly by lawyers and judges, considered as a no…