In this article, we perform an exhaustive analysis of the use of Artificial Neural Networks and
Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence …

Context The field of comic recognition (CR) has gained significant attention in recent years
due to the growing popularity of digital comics. CR involves the automatic identification and …

Facial Landmark detection in natural images is a very active research domain. Impressive
progress has been made in recent years, with the rise of neural-network based methods and …

In the past few decades Japanese comics commonly referred to as Manga have
transcended both cultural and linguistic boundaries to become a true worldwide sensation …

Comic character detection is becoming an exciting and growing research area in the domain
of machine learning. In this regard, recently, many methods are proposed to provide …

We tackle the problem of machine translation of manga, Japanese comics. Manga
translation involves two important problems in machine translation: context-aware and …

We develop a method for the automated detection and segmentation of speech balloons in
comic books, including their carrier and tails. Our method is based on a deep convolutional …

Multimodal combinations of writing and pictures have become ubiquitous in contemporary
society, and scholars have increasingly been turning to analyzing these media. Here we …

Enabling engagement of manga by visually impaired individuals presents a significant
challenge due to its inherently visual nature. With the goal of fostering accessibility, this …

Comic book image analysis methods often propose multiple algorithms or models for
multiple tasks like panel and character (body and face) detection, balloon segmentation, text …