Brian Kenji Iwana | DeepAI

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∙ 09/13/2023

Deep Attentive Time Warping

Similarity measures for time series are important problems for time seri...

0 Shinnosuke Matsuo, et al. ∙

∙ 09/02/2023

Few shot font generation via transferring similarity guided global style and quantization local style

Automatic few-shot font generation (AFFG), aiming at generating new font...

0 Wei Pan, et al. ∙

∙ 06/16/2023

FETNet: Feature Erasing and Transferring Network for Scene Text Removal

The scene text removal (STR) task aims to remove text regions and recove...

0 Guangtao Lyu, et al. ∙

∙ 04/27/2023

Vision Conformer: Incorporating Convolutions into Vision Transformer Layers

Transformers are popular neural network models that use layers of self-a...

0 Brian Kenji Iwana, et al. ∙

∙ 04/27/2023

Contour Completion by Transformers and Its Application to Vector Font Data

In documents and graphics, contours are a popular format to describe spe...

0 Yusuke Nagata, et al. ∙

∙ 12/13/2022

On Mini-Batch Training with Varying Length Time Series

In real-world time series recognition applications, it is possible to ha...

0 Brian Kenji Iwana, et al. ∙

∙ 11/05/2021

Dynamic Data Augmentation with Gating Networks

Data augmentation is a technique to improve the generalization ability o...

0 Daisuke Oba, et al. ∙

∙ 06/29/2021

Using Robust Regression to Find Font Usage Trends

Fonts have had trends throughout their history, not only in when they we...

3 Kaigen Tsuji, et al. ∙

∙ 05/24/2021

Towards Book Cover Design via Layout Graphs

Book covers are intentionally designed and provide an introduction to a ...

0 Wensheng Zhang, et al. ∙

∙ 05/19/2021

Font Style that Fits an Image – Font Generation Based on Image Context

When fonts are used on documents, they are intentionally selected by des...

0 Taiga Miyazono, et al. ∙

∙ 03/28/2021

Attention to Warp: Deep Metric Learning for Multivariate Time Series

Deep time series metric learning is challenging due to the difficult tra...

0 Shinnosuke Matsuo, et al. ∙

∙ 03/08/2021

Self-Augmented Multi-Modal Feature Embedding

Oftentimes, patterns can be represented through different modalities. Fo...

0 Shinnosuke Matsuo, et al. ∙

∙ 09/23/2020

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

Analyzing the handwriting generation process is an important issue and h...

11 Keisuke Kanda, et al. ∙

∙ 07/31/2020

An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks

In recent times, deep artificial neural networks have achieved many succ...

0 Brian Kenji Iwana, et al. ∙

∙ 07/16/2020

Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology

We propose a weakly-supervised cell tracking method that can train a con...

0 Hiroki Tokunaga, et al. ∙

∙ 06/22/2020

On the Ability of a CNN to Realize Image-to-Image Language Conversion

The purpose of this paper is to reveal the ability that Convolutional Ne...

0 Kohei Baba, et al. ∙

∙ 04/19/2020

Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher

Neural networks have become a powerful tool in pattern recognition and p...

0 Brian Kenji Iwana, et al. ∙

∙ 04/18/2020

Effect of Text Color on Word Embeddings

In natural scenes and documents, we can find the correlation between a t...

0 Masaya Ikoma, et al. ∙

∙ 01/24/2020

Character-independent font identification

There are a countless number of fonts with various shapes and styles. In...

8 Daichi Haraguchi, et al. ∙

∙ 01/21/2020

Neural Style Difference Transfer and Its Application to Font Generation

Designing fonts requires a great deal of time and effort. It requires pr...

0 Gantugs Atarsaikhan, et al. ∙

∙ 08/06/2019

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation

Convolutional Neural Networks (CNN) have become state-of-the-art in the ...

30 Brian Kenji Iwana, et al. ∙

∙ 06/14/2019

Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders

This research attempts to construct a network that can convert online an...

1 Taichi Sumi, et al. ∙

∙ 05/26/2019

ProbAct: A Probabilistic Activation Function for Deep Neural Networks

Activation functions play an important role in the training of artificia...

0 Joonho Lee, et al. ∙

∙ 08/25/2018

How do Convolutional Neural Networks Learn Design?

In this paper, we aim to understand the design principles in book cover ...

0 Shailza Jolly, et al. ∙

∙ 03/02/2018

Contained Neural Style Transfer for Decorated Logo Generation

Making decorated logos requires image editing skills, without sufficient...

0 Gantugs Atarsaikhan, et al. ∙

∙ 12/18/2017

Dynamic Weight Alignment for Convolutional Neural Networks

In this paper, we propose a method of improving Convolutional Neural Net...

0 Brian Kenji Iwana, et al. ∙

∙ 12/25/2016

Globally Optimal Object Tracking with Fully Convolutional Networks

Tracking is one of the most important but still difficult tasks in compu...

0 Jinho Lee, et al. ∙

∙ 10/28/2016

Judging a Book By its Cover

Book covers communicate information to potential readers, but can that s...

0 Brian Kenji Iwana, et al. ∙

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