716 citations · 825 across the 31 of their papers we have counts for
8 papers · 1 filter
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…
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology
Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto +2
We propose a weakly-supervised cell tracking method that can train a convolutional neural network (CNN) by using only the annotation of "cell detection" (i.e., the coordinates of c…
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
Brian Kenji Iwana, Seiichi Uchida
In recent times, deep artificial neural networks have achieved many successes in pattern recognition. Part of this success can be attributed to the reliance on big data to increase…
On the Ability of a CNN to Realize Image-to-Image Language Conversion
Kohei Baba, Seiichi Uchida, Brian Kenji Iwana
The purpose of this paper is to reveal the ability that Convolutional Neural Networks (CNN) have on the novel task of image-to-image language conversion. We propose a new network t…
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
Brian Kenji Iwana, Seiichi Uchida
Neural networks have become a powerful tool in pattern recognition and part of their success is due to generalization from using large datasets. However, unlike other domains, time…
Effect of Text Color on Word Embeddings
Masaya Ikoma, Brian Kenji Iwana, Seiichi Uchida
In natural scenes and documents, we can find the correlation between a text and its color. For instance, the word, "hot", is often printed in red, while "cold" is often in blue. Th…
Character-independent font identification
Daichi Haraguchi, Shota Harada, Brian Kenji Iwana +2
There are a countless number of fonts with various shapes and styles. In addition, there are many fonts that only have subtle differences in features. Due to this, font identificat…
Neural Style Difference Transfer and Its Application to Font Generation
Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida
Designing fonts requires a great deal of time and effort. It requires professional skills, such as sketching, vectorizing, and image editing. Additionally, each letter has to be de…