activity
20182021
most citedTime Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher

13 citations · 20 across the 12 of their papers we have counts for

collaborators

17 papers

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.CV20211 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.CV20211 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…

cs.CV2021

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…

cs.CV2020

What is the Reward for Handwriting? -- Handwriting Generation by Imitation Learning

Keisuke Kanda, Brian Kenji Iwana, Seiichi Uchida

Analyzing the handwriting generation process is an important issue and has been tackled by various generation models, such as kinematics based models and stochastic models. In this…