Tackling temporal pattern recognition by vector space embedding. - Brian Kenji Iwana; Seiichi Uchida; Kaspar Riesen; Volkmar Frinken (ICDAR, 2015)

Detecting text in natural scene images with conditional clustering and convolution neural network. - Anna Zhu; Guoyou Wang; Yangbo Dong; Brian Kenji Iwana (J. Electronic Imaging, 2015)

A Robust Dissimilarity-Based Neural Network for Temporal Pattern Recognition. - Brian Kenji Iwana; Volkmar Frinken; Seiichi Uchida (ICFHR, 2016)

A Further Step to Perfect Accuracy by Training CNN with Larger Data. - Seiichi Uchida; Shouta Ide; Brian Kenji Iwana; Anna Zhu (ICFHR, 2016)

Judging a Book By its Cover. - Brian Kenji Iwana; Seiichi Uchida (CoRR, 2016)

Globally Optimal Object Tracking with Fully Convolutional Networks. - Jinho Lee; Brian Kenji Iwana; Shouta Ide; Seiichi Uchida (CoRR, 2016)

Font Creation Using Class Discriminative Deep Convolutional Generative Adversarial Networks. - Kotaro Abe; Brian Kenji Iwana; Viktor Gosta Holmer; Seiichi Uchida (ACPR, 2017)

Neural Font Style Transfer. - Gantugs Atarsaikhan; Brian Kenji Iwana; Atsushi Narusawa; Keiji Yanai; Seiichi Uchida (WML@ICDAR, 2017)

Component Awareness in Convolutional Neural Networks. - Brian Kenji Iwana; Letao Zhou; Kumiko Tanaka-Ishii; Seiichi Uchida (ICDAR, 2017)

Globally Optimal Object Tracking with Complementary Use of Single Shot Multibox Detector and Fully Convolutional Network. - Jinho Lee; Brian Kenji Iwana; Shouta Ide; Hideaki Hayashi; Seiichi Uchida (PSIVT, 2017)

Dynamic Weight Alignment for Convolutional Neural Networks. - Brian Kenji Iwana; Seiichi Uchida (CoRR, 2017)

Efficient temporal pattern recognition by means of dissimilarity space embedding with discriminative prototypes. - Brian Kenji Iwana; Volkmar Frinken; Kaspar Riesen; Seiichi Uchida (Pattern Recognit., 2017)

Contained Neural Style Transfer for Decorated Logo Generation. - Gantugs Atarsaikhan; Brian Kenji Iwana; Seiichi Uchida (DAS, 2018)

Introducing Local Distance-Based Features to Temporal Convolutional Neural Networks. - Brian Kenji Iwana; Minoru Mori; Akisato Kimura; Seiichi Uchida (ICFHR, 2018)

Discovering Class-Wise Trends of Max-Pooling in Subspace. - Yuchen Zheng; Brian Kenji Iwana; Seiichi Uchida (ICFHR, 2018)

How do Convolutional Neural Networks Learn Design? - Shailza Jolly; Brian Kenji Iwana; Ryohei Kuroki; Seiichi Uchida (ICPR, 2018)

Dynamic Weight Alignment for Temporal Convolutional Neural Networks. - Brian Kenji Iwana; Seiichi Uchida (ICASSP, 2019)

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation. - Brian Kenji Iwana; Ryohei Kuroki; Seiichi Uchida (ICCV Workshops, 2019)

On the Ability of a CNN to Realize Image-to-Image Language Conversion. - Kohei Baba; Seiichi Uchida; Brian Kenji Iwana (ICDAR, 2019)

Cascading Modular U-Nets for Document Image Binarization. - Seokjun Kang; Brian Kenji Iwana; Seiichi Uchida (ICDAR, 2019)

Selective Super-Resolution for Scene Text Images. - Ryo Nakao; Brian Kenji Iwana; Seiichi Uchida (ICDAR, 2019)

Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders. - Taichi Sumi; Brian Kenji Iwana; Hideaki Hayashi; Seiichi Uchida (ICDAR, 2019)

Deep Dynamic Time Warping: End-to-End Local Representation Learning for Online Signature Verification. - Xiaomeng Wu; Akisato Kimura; Brian Kenji Iwana; Seiichi Uchida; Kunio Kashino (ICDAR, 2019)

Capturing Micro Deformations from Pooling Layers for Offline Signature Verification. - Yuchen Zheng; Wataru Ohyama; Brian Kenji Iwana; Seiichi Uchida (ICDAR, 2019)

ProbAct: A Probabilistic Activation Function for Deep Neural Networks. - Joonho Lee; Kumar Shridhar; Hideaki Hayashi; Brian Kenji Iwana; Seokjun Kang; Seiichi Uchida (CoRR, 2019)

Mining the displacement of max-pooling for text recognition. - Yuchen Zheng; Brian Kenji Iwana; Seiichi Uchida (Pattern Recognit., 2019)

Neural Style Difference Transfer and Its Application to Font Generation. - Gantugs Atarsaikhan; Brian Kenji Iwana; Seiichi Uchida (DAS, 2020)

Character-Independent Font Identification. - Daichi Haraguchi; Shota Harada; Brian Kenji Iwana; Yuto Shinahara; Seiichi Uchida (DAS, 2020)

Effect of Text Color on Word Embeddings. - Masaya Ikoma; Brian Kenji Iwana; Seiichi Uchida (DAS, 2020)

ACMU-Nets: Attention Cascading Modular U-Nets Incorporating Squeeze and Excitation Blocks. - Seokjun Kang; Brian Kenji Iwana; Seiichi Uchida (DAS, 2020)

Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology. - Hiroki Tokunaga; Brian Kenji Iwana; Yuki Teramoto; Akihiko Yoshizawa; Ryoma Bise (ECCV (15), 2020)

What is the Reward for Handwriting? - A Handwriting Generation Model Based on Imitation Learning. - Keisuke Kanda; Brian Kenji Iwana; Seiichi Uchida (ICFHR, 2020)

Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher. - Brian Kenji Iwana; Seiichi Uchida (ICPR, 2020)

An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks. - Brian Kenji Iwana; Seiichi Uchida (CoRR, 2020)

What is the Reward for Handwriting? - Handwriting Generation by Imitation Learning. - Keisuke Kanda; Brian Kenji Iwana; Seiichi Uchida (CoRR, 2020)

DTW-NN: A novel neural network for time series recognition using dynamic alignment between inputs and weights. - Brian Kenji Iwana; Volkmar Frinken; Seiichi Uchida (Knowl. Based Syst., 2020)

Time series classification using local distance-based features in multi-modal fusion networks. - Brian Kenji Iwana; Seiichi Uchida (Pattern Recognit., 2020)

Benchmarking Deep Learning Models for Classification of Book Covers. - Adriano Lucieri; Huzaifa Sabir; Shoaib Ahmed Siddiqui; Syed Tahseen Raza Rizvi; Brian Kenji Iwana; Seiichi Uchida; Andreas Dengel 001; Sheraz Ahmed (SN Comput. Sci., 2020)

Few-Shot Text Style Transfer via Deep Feature Similarity. - Anna Zhu; Xiongbo Lu; Xiang Bai; Seiichi Uchida; Brian Kenji Iwana; Shengwu Xiong 001 (IEEE Trans. Image Process., 2020)

Self-Augmented Multi-Modal Feature Embedding. - Shinnosuke Matsuo; Seiichi Uchida; Brian Kenji Iwana (ICASSP, 2021)

Attention to Warp: Deep Metric Learning for Multivariate Time Series. - Shinnosuke Matsuo; Xiaomeng Wu; Gantugs Atarsaikhan; Akisato Kimura; Kunio Kashino; Brian Kenji Iwana; Seiichi Uchida (ICDAR (3), 2021)

Font Style that Fits an Image - Font Generation Based on Image Context. - Taiga Miyazono; Brian Kenji Iwana; Daichi Haraguchi; Seiichi Uchida (ICDAR (3), 2021)

Using Robust Regression to Find Font Usage Trends. - Kaigen Tsuji; Seiichi Uchida; Brian Kenji Iwana (ICDAR Workshops (2), 2021)

Towards Book Cover Design via Layout Graphs. - Wensheng Zhang; Yan Zheng; Taiga Miyazono; Seiichi Uchida; Brian Kenji Iwana (ICDAR (3), 2021)

Tunable U-Net: Controlling Image-to-Image Outputs Using a Tunable Scalar Value. - Seokjun Kang; Seiichi Uchida; Brian Kenji Iwana (IEEE Access, 2021)

Dynamic Data Augmentation with Gating Networks. - Daisuke Oba; Shinnosuke Matsuo; Brian Kenji Iwana (CoRR, 2021)

Complex image processing with less data - Document image binarization by integrating multiple pre-trained U-Net modules. - Seokjun Kang; Brian Kenji Iwana; Seiichi Uchida (Pattern Recognit., 2021)

Learning the micro deformations by max-pooling for offline signature verification. - Yuchen Zheng; Brian Kenji Iwana; Muhammad Imran Malik; Sheraz Ahmed; Wataru Ohyama; Seiichi Uchida (Pattern Recognit., 2021)

On Mini-Batch Training with Varying Length Time Series. - Brian Kenji Iwana (ICASSP, 2022)

Dynamic Data Augmentation with Gating Networks for Time Series Recognition. - Daisuke Oba; Shinnosuke Matsuo; Brian Kenji Iwana (ICPR, 2022)

Text Style Transfer based on Multi-factor Disentanglement and Mixture. - Anna Zhu; Zhanhui Yin; Brian Kenji Iwana; Xinyu Zhou; Shengwu Xiong 001 (ACM Multimedia, 2022)

Using Motif-Based Features to Improve Signal Classification with Temporal Neural Networks. - Karthikeyan Suresh; Brian Kenji Iwana (ACPR (1), 2023)

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 (ICCV, 2023)

Vision Conformer: Incorporating Convolutions into Vision Transformer Layers. - Brian Kenji Iwana; Akihiro Kusuda (ICDAR (4), 2023)

Contour Completion by Transformers and Its Application to Vector Font Data. - Yusuke Nagata; Brian Kenji Iwana; Seiichi Uchida (ICDAR (5), 2023)

Deep attentive time warping. - Shinnosuke Matsuo; Xiaomeng Wu; Gantugs Atarsaikhan; Akisato Kimura; Kunio Kashino; Brian Kenji Iwana; Seiichi Uchida (Pattern Recognit., 2023)

FETNet: Feature erasing and transferring network for scene text removal. - Guangtao Lyu; Kun Liu 027; Anna Zhu; Seiichi Uchida; Brian Kenji Iwana (Pattern Recognit., 2023)

Corrigendum to "FETNet: Feature Erasing and Transferring Network for Scene Text Removal": Pattern Recognition Volume 140 (2023) 109531. - Guangtao Lyu; Kun Liu 027; Anna Zhu; Seiichi Uchida; Brian Kenji Iwana (Pattern Recognit., 2023)

What Text Design Characterizes Book Genres? - Daichi Haraguchi; Brian Kenji Iwana; Seiichi Uchida (DAS, 2024)

Test Time Augmentation as a Defense Against Adversarial Attacks on Online Handwriting. - Yoh Yamashita; Brian Kenji Iwana (ICDAR (2), 2024)

Improving Online Handwriting Recognition with Transfer Learning Using Out-of-Domain and Different-Dimensional Sources. - Jiseok Lee 001; Masaki Akiba; Brian Kenji Iwana (ICPR (31), 2024)

Model Selection with a Shapelet-Based Distance Measure for Multi-source Transfer Learning in Time Series Classification. - Jiseok Lee 001; Brian Kenji Iwana (ICPR (27), 2024)

Improving the Robustness of Time Series Neural Networks from Adversarial Attacks Using Time Warping. - Yoh Yamashita; Brian Kenji Iwana (ICPR (14), 2024)

Scene text recognition via dual character counting-aware visual and semantic modeling network. - Ke Xiao; Anna Zhu; Brian Kenji Iwana; Cheng-Lin Liu (Sci. China Inf. Sci., 2024)

Towards Time Series Generation Conditioned on Unstructured Natural Language. - Jaeyun Woo; Jiseok Lee; Brian Kenji Iwana (CoRR, 2025)