Brian Kenji Iwana

Brian Kenji Iwana

Kyushu University

H-index: 18

Asia-Japan

About Brian Kenji Iwana

Brian Kenji Iwana, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at Kyushu University, specializes in the field of Pattern Recognition, Character Recognition, Document Image Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Scene text recognition via dual character counting-aware visual and semantic modeling network

What Text Design Characterizes Book Genres?

FETNet: Feature erasing and transferring network for scene text removal

Deep attentive time warping

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

Using Motif-Based Features to Improve Signal Classification with Temporal Neural Networks

Contour Completion by Transformers and Its Application to Vector Font Data

Vision Conformer: Incorporating Convolutions into Vision Transformer Layers

Brian Kenji Iwana Information

University

Position

___

Citations(all)

1296

Citations(since 2020)

1253

Cited By

281

hIndex(all)

18

hIndex(since 2020)

17

i10Index(all)

24

i10Index(since 2020)

23

Email

University Profile Page

Kyushu University

Google Scholar

View Google Scholar Profile

Brian Kenji Iwana Skills & Research Interests

Pattern Recognition

Character Recognition

Document Image Processing

Machine Learning

Top articles of Brian Kenji Iwana

Title

Journal

Author(s)

Publication Date

Scene text recognition via dual character counting-aware visual and semantic modeling network

Science China Information Sciences

Ke Xiao

Anna Zhu

Brian Kenji Iwana

Cheng-Lin Liu

2024/3

What Text Design Characterizes Book Genres?

arXiv preprint arXiv:2402.16356

Daichi Haraguchi

Brian Kenji Iwana

Seiichi Uchida

2024/2/26

FETNet: Feature erasing and transferring network for scene text removal

Pattern Recognition

Guangtao Lyu

Kun Liu

Anna Zhu

Seiichi Uchida

Brian Kenji Iwana

2023/8/1

Deep attentive time warping

Pattern Recognition

Shinnosuke Matsuo

Xiaomeng Wu

Gantugs Atarsaikhan

Akisato Kimura

Kunio Kashino

...

2023/4/1

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

Wei Pan

Anna Zhu

Xinyu Zhou

Brian Kenji Iwana

Shilin Li

2023

Using Motif-Based Features to Improve Signal Classification with Temporal Neural Networks

Karthikeyan Suresh

Brian Kenji Iwana

2023/11/5

Contour Completion by Transformers and Its Application to Vector Font Data

Yusuke Nagata

Brian Kenji Iwana

Seiichi Uchida

2023/8/19

Vision Conformer: Incorporating Convolutions into Vision Transformer Layers

Brian Kenji Iwana

Akihiro Kusuda

2023/8/19

On Mini-Batch Training with Varying Length Time Series

Brian Kenji Iwana

2022/5/23

Text style transfer based on multi-factor disentanglement and mixture

Anna Zhu

Zhanhui Yin

Brian Kenji Iwana

Xinyu Zhou

Shengwu Xiong

2022/10/10

Dynamic data augmentation with gating networks for time series recognition

Daisuke Oba

Shinnosuke Matsuo

Brian Kenji Iwana

2022/8/21

Attention to warp: Deep metric learning for multivariate time series

Shinnosuke Matsuo

Xiaomeng Wu

Gantugs Atarsaikhan

Akisato Kimura

Kunio Kashino

...

2021

Time series data augmentation for neural networks by time warping with a discriminative teacher

Brian Kenji Iwana

Seiichi Uchida

2021/1/10

Complex image processing with less data—Document image binarization by integrating multiple pre-trained U-Net modules

Pattern Recognition

Seokjun Kang

Brian Kenji Iwana

Seiichi Uchida

2021/1/1

Dynamic data augmentation with gating networks

arXiv preprint arXiv:2111.03253

Daisuke Oba

Shinnosuke Matsuo

Brian Kenji Iwana

2021

Learning the micro deformations by max-pooling for offline signature verification

Pattern Recognition

Yuchen Zheng

Brian Kenji Iwana

Muhammad Imran Malik

Sheraz Ahmed

Wataru Ohyama

...

2021/10/1

Using robust regression to find font usage trends

Kaigen Tsuji

Seiichi Uchida

Brian Kenji Iwana

2021

An empirical survey of data augmentation for time series classification with neural networks

Plos one

Brian Kenji Iwana

Seiichi Uchida

2021/7/15

Towards book cover design via layout graphs

Wensheng Zhang

Yan Zheng

Taiga Miyazono

Seiichi Uchida

Brian Kenji Iwana

2021

Tunable U-Net: Controlling image-to-image outputs using a tunable scalar value

IEEE Access

Seokjun Kang

Seiichi Uchida

Brian Kenji Iwana

2021/7/12

See List of Professors in Brian Kenji Iwana University(Kyushu University)