716 citations · 825 across the 31 of their papers we have counts for
6 papers · 1 filter
Dynamic Data Augmentation with Gating Networks for Time Series Recognition
Daisuke Oba, Shinnosuke Matsuo, Brian Kenji Iwana
Data augmentation is a technique to improve the generalization ability of machine learning methods by increasing the size of the dataset. However, since every augmentation method i…
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…
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…
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…
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…
Attention to Warp: Deep Metric Learning for Multivariate Time Series
Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan +4
Deep time series metric learning is challenging due to the difficult trade-off between temporal invariance to nonlinear distortion and discriminative power in identifying non-match…