45 citations · 78 across the 2 of their papers we have counts for
4 papers
Stroke-Based Scene Text Erasing Using Synthetic Data for Training
Zhengmi Tang, Tomo Miyazaki, Yoshihiro Sugaya +1
Scene text erasing, which replaces text regions with reasonable content in natural images, has drawn significant attention in the computer vision community in recent years. There a…
Fidelity-Controllable Extreme Image Compression with Generative Adversarial Networks
Shoma Iwai, Tomo Miyazaki, Yoshihiro Sugaya +1
We propose a GAN-based image compression method working at extremely low bitrates below 0.1bpp. Most existing learned image compression methods suffer from blur at extremely low bi…
Multiple Visual-Semantic Embedding for Video Retrieval from Query Sentence
Huy Manh Nguyen, Tomo Miyazaki, Yoshihiro Sugaya +1
Visual-semantic embedding aims to learn a joint embedding space where related video and sentence instances are located close to each other. Most existing methods put instances in a…
Automatic Generation of Typographic Font from a Small Font Subset
Tomo Miyazaki, Tatsunori Tsuchiya, Yoshihiro Sugaya +4
This paper addresses the automatic generation of a typographic font from a subset of characters. Specifically, we use a subset of a typographic font to extrapolate additional chara…