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20162026
most citedAn Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks

716 citations · 907 across the 45 of their papers we have counts for

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Showing 2021Show all

12 papers · 1 filter

cs.CV2021

De-rendering Stylized Texts

Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida +1

Editing raster text is a promising but challenging task. We propose to apply text vectorization for the task of raster text editing in display media, such as posters, web pages, or…

cs.CV2021

Using Robust Regression to Find Font Usage Trends

Kaigen Tsuji, Seiichi Uchida, Brian Kenji Iwana

Fonts have had trends throughout their history, not only in when they were invented but also in their usage and popularity. In this paper, we attempt to specifically find the trend…

cs.CV2021★ 1 cited

Towards Book Cover Design via Layout Graphs

Wensheng Zhang, Yan Zheng, Taiga Miyazono +2

Book covers are intentionally designed and provide an introduction to a book. However, they typically require professional skills to design and produce the cover images. Thus, we p…

cs.CV2021

Font Style that Fits an Image -- Font Generation Based on Image Context

Taiga Miyazono, Brian Kenji Iwana, Daichi Haraguchi +1

When fonts are used on documents, they are intentionally selected by designers. For example, when designing a book cover, the typography of the text is an important factor in the o…

cs.CV2021

Famous Companies Use More Letters in Logo:A Large-Scale Analysis of Text Area in Logo

Shintaro Nishi, Takeaki Kadota, Seiichi Uchida

This paper analyzes a large number of logo images from the LLD-logo dataset, by recent deep learning-based techniques, to understand not only design trends of logo images and but a…

cs.CV2021★ 1 cited

Self-Augmented Multi-Modal Feature Embedding

Shinnosuke Matsuo, Seiichi Uchida, Brian Kenji Iwana

Oftentimes, patterns can be represented through different modalities. For example, leaf data can be in the form of images or contours. Handwritten characters can also be either onl…