Object detection, as of one the most fundamental and challenging problems in computer
vision, has received great attention in recent years. Over the past two decades, we have …

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 …

Current text recognition systems, including those for handwritten scripts and scene text, have
relied heavily on image synthesis and augmentation, since it is difficult to realize real-world …

Visual information extraction (VIE) plays an important role in Document Intelligence.
Generally, it is divided into two tasks: semantic entity recognition (SER) and relation …

A challenging aspect of scene text recognition is to handle text with distortions or irregular
layout. In particular, perspective text and curved text are common in natural scenes and are …

Recently, models based on deep neural networks have dominated the fields of scene text
detection and recognition. In this paper, we investigate the problem of scene text spotting …

Driven by deep neural networks and large scale datasets, scene text detection methods
have progressed substantially over the past years, continuously refreshing the performance …

Previous approaches for scene text detection have already achieved promising
performances across various benchmarks. However, they usually fall short when dealing …

Irregular text is widely used. However, it is considerably difficult to recognize because of its
various shapes and distorted patterns. In this paper, we thus propose a multi-object rectified …

The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …