Documents often exhibit various forms of degradation, which make it hard to be read and
substantially deteriorate the performance of an OCR system. In this paper, we propose an …

Abstract Generative Adversarial Networks (GANs) have recently attracted considerable
attention in the AI community due to their ability to generate high-quality data of significant …

Event factuality identification is an important semantic task in NLP. Traditional research
heavily relies on annotated texts. This paper proposes a twostep framework, first extracting …

Free form handwritten document images commonly contains deformed text images such as
struck-out and underlined words. The deformed text images drastically degrades the …

Handwriting is a skill developed by humans from the very early stage in the order to
represent his/her thoughts visually using letters and making meaningful words and …

In this paper, a combination of the conditional generative adversarial network (DE-GAN) with
the convolutional neural network (CNN) and long short time memory (LSTM) is proposed in …

From a very early age human achieve a precious skill that is a handwriting. After this
invention, the ardor of it changed day by day. And every human has a different style of …

As a promising generative modeling method, Generative Adversarial Networks are a deep-
learning-based generative model, in which two networks, namely the generative network …

Most conventional continuous auto-focus algorithms appearing in the literature fail to
address how to focus on a desired near object when there are multiple objects in the scene …

Handwriting identification is a method to identify an unknown writer by comparing a known
writer's characters with an unknown writer's characters by using the homeostasis of …