activity
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

collaborators

48 papers

cs.CV2026

Handwriting Trajectory Recovery with Diffusion Models

Hiroki Nagamatsu, Shoji Toyota, Seiichi Uchida

Recovering online pen trajectories from offline handwriting images, often referred to as handwriting trajectory recovery (stroke recovery), is an offline-to-online conversion task…

cs.CV2023★ 17 cited

FETNet: Feature Erasing and Transferring Network for Scene Text Removal

Guangtao Lyu, Kun Liu, Anna Zhu +2

The scene text removal (STR) task aims to remove text regions and recover the background smoothly in images for private information protection. Most existing STR methods adopt enco…

cs.GR2023

Contour Completion by Transformers and Its Application to Vector Font Data

Yusuke Nagata, Brian Kenji Iwana, Seiichi Uchida

In documents and graphics, contours are a popular format to describe specific shapes. For example, in the True Type Font (TTF) file format, contours describe vector outlines of typ…

cs.CV2022

Font Shape-to-Impression Translation

Masaya Ueda, Akisato Kimura, Seiichi Uchida

Different fonts have different impressions, such as elegant, scary, and cool. This paper tackles part-based shape-impression analysis based on the Transformer architecture, which i…

cs.CV2022

Optimal Rejection Function Meets Character Recognition Tasks

Xiaotong Ji, Yuchen Zheng, Daiki Suehiro +1

In this paper, we propose an optimal rejection method for rejecting ambiguous samples by a rejection function. This rejection function is trained together with a classification fun…

cs.CV2022

TrueType Transformer: Character and Font Style Recognition in Outline Format

Yusuke Nagata, Jinki Otao, Daichi Haraguchi +1

We propose TrueType Transformer (T3), which can perform character and font style recognition in an outline format. The outline format, such as TrueType, represents each character a…