12 citations · 21 across the 4 of their papers we have counts for
6 papers
Scene Text Magnifier
Toshiki Nakamura, Anna Zhu, Seiichi Uchida
Scene text magnifier aims to magnify text in natural scene images without recognition. It could help the special groups, who have myopia or dyslexia to better understand the scene.…
Serif or Sans: Visual Font Analytics on Book Covers and Online Advertisements
Yuto Shinahara, Takuro Karamatsu, Daisuke Harada +2
In this paper, we conduct a large-scale study of font statistics in book covers and online advertisements. Through the statistical study, we try to understand how graphic designers…
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders
Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi +1
This research attempts to construct a network that can convert online and offline handwritten characters to each other. The proposed network consists of two Variational Auto-Encode…
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction
Hideaki Hayashi, Seiichi Uchida
In this paper, we propose a trainable multiplication layer (TML) for a neural network that can be used to calculate the multiplication between the input features. Taking an image a…
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks
Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida
In this paper, we propose GlyphGAN: style-consistent font generation based on generative adversarial networks (GANs). GANs are a framework for learning a generative model using a s…
Scene Text Eraser
Toshiki Nakamura, Anna Zhu, Keiji Yanai +1
The character information in natural scene images contains various personal information, such as telephone numbers, home addresses, etc. It is a high risk of leakage the informatio…