Brian Kenji Iwana

CoRR, 2024

2023

Corrigendum to "FETNet: Feature Erasing and Transferring Network for Scene Text Removal": Pattern Recognition Volume 140 (2023) 109531.

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[DOI]

Pattern Recognit., September, 2023

FETNet: Feature erasing and transferring network for scene text removal.

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[DOI]

Pattern Recognit., August, 2023

Deep attentive time warping.

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[DOI]

Pattern Recognit., April, 2023

Contour Completion by Transformers and Its Application to Vector Font Data.

[BibT_eX]

[DOI]

Yusuke Nagata

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Vision Conformer: Incorporating Convolutions into Vision Transformer Layers.

[BibT_eX]

[DOI]

Akihiro Kusuda

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

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

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[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

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[DOI]

Karthikeyan Suresh

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022

Text Style Transfer based on Multi-factor Disentanglement and Mixture.

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[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Dynamic Data Augmentation with Gating Networks for Time Series Recognition.

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[DOI]

Daisuke Oba

Shinnosuke Matsuo

Proceedings of the 26th International Conference on Pattern Recognition, 2022

On Mini-Batch Training with Varying Length Time Series.

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[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

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

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[DOI]

Pattern Recognit., 2021

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

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Dynamic Data Augmentation with Gating Networks.

[BibT_eX]

[DOI]

Daisuke Oba

Shinnosuke Matsuo

CoRR, 2021

Tunable U-Net: Controlling Image-to-Image Outputs Using a Tunable Scalar Value.

[BibT_eX]

[DOI]

IEEE Access, 2021

Towards Book Cover Design via Layout Graphs.

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[DOI]

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Using Robust Regression to Find Font Usage Trends.

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[DOI]

Kaigen Tsuji

Proceedings of the Document Analysis and Recognition, 2021

Font Style that Fits an Image - Font Generation Based on Image Context.

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[DOI]

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Attention to Warp: Deep Metric Learning for Multivariate Time Series.

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[DOI]

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Self-Augmented Multi-Modal Feature Embedding.

[BibT_eX]

[DOI]

Shinnosuke Matsuo

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Few-Shot Text Style Transfer via Deep Feature Similarity.

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[DOI]

IEEE Trans. Image Process., 2020

Benchmarking Deep Learning Models for Classification of Book Covers.

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[DOI]

Adriano Lucieri

Huzaifa Sabir

Shoaib Ahmed Siddiqui

Syed Tahseen Raza Rizvi

SN Comput. Sci., 2020

Time series classification using local distance-based features in multi-modal fusion networks.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

DTW-NN: A novel neural network for time series recognition using dynamic alignment between inputs and weights.

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[DOI]

Volkmar Frinken

Knowl. Based Syst., 2020

What is the Reward for Handwriting? - Handwriting Generation by Imitation Learning.

[BibT_eX]

[DOI]

Keisuke Kanda

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

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[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

What is the Reward for Handwriting? - A Handwriting Generation Model Based on Imitation Learning.

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[DOI]

Keisuke Kanda

Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology.

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[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

ACMU-Nets: Attention Cascading Modular U-Nets Incorporating Squeeze and Excitation Blocks.

[BibT_eX]

[DOI]

Proceedings of the Document Analysis Systems - 14th IAPR International Workshop, 2020

Effect of Text Color on Word Embeddings.

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[DOI]

Masaya Ikoma

Proceedings of the Document Analysis Systems - 14th IAPR International Workshop, 2020

Character-Independent Font Identification.

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[DOI]

Proceedings of the Document Analysis Systems - 14th IAPR International Workshop, 2020

Neural Style Difference Transfer and Its Application to Font Generation.

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[DOI]

Gantugs Atarsaikhan

Proceedings of the Document Analysis Systems - 14th IAPR International Workshop, 2020

2019

Mining the displacement of max-pooling for text recognition.

[BibT_eX]

[DOI]

Yuchen Zheng

Pattern Recognit., 2019

ProbAct: A Probabilistic Activation Function for Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Capturing Micro Deformations from Pooling Layers for Offline Signature Verification.

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[DOI]

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Deep Dynamic Time Warping: End-to-End Local Representation Learning for Online Signature Verification.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Selective Super-Resolution for Scene Text Images.

[BibT_eX]

[DOI]

Ryo Nakao

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Cascading Modular U-Nets for Document Image Binarization.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

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

[BibT_eX]

[DOI]

Kohei Baba

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

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

[BibT_eX]

[DOI]

Ryohei Kuroki

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Dynamic Weight Alignment for Temporal Convolutional Neural Networks.

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[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

How do Convolutional Neural Networks Learn Design?

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[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Discovering Class-Wise Trends of Max-Pooling in Subspace.

[BibT_eX]

[DOI]

Yuchen Zheng

Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

Introducing Local Distance-Based Features to Temporal Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

Contained Neural Style Transfer for Decorated Logo Generation.

[BibT_eX]

[DOI]

Gantugs Atarsaikhan

Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

2017

Efficient temporal pattern recognition by means of dissimilarity space embedding with discriminative prototypes.

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[DOI]

Pattern Recognit., 2017

Dynamic Weight Alignment for Convolutional Neural Networks.

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[DOI]

CoRR, 2017

Globally Optimal Object Tracking with Complementary Use of Single Shot Multibox Detector and Fully Convolutional Network.

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[DOI]

Proceedings of the Image and Video Technology - 8th Pacific-Rim Symposium, 2017

Component Awareness in Convolutional Neural Networks.

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[DOI]

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Neural Font Style Transfer.

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[DOI]

Proceedings of the First Workshop of Machine Learning, 2017

Font Creation Using Class Discriminative Deep Convolutional Generative Adversarial Networks.

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[DOI]

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016

Globally Optimal Object Tracking with Fully Convolutional Networks.

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[DOI]

CoRR, 2016

Judging a Book By its Cover.

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[DOI]

CoRR, 2016

A Further Step to Perfect Accuracy by Training CNN with Larger Data.

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[DOI]

Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

A Robust Dissimilarity-Based Neural Network for Temporal Pattern Recognition.

[BibT_eX]

[DOI]

Volkmar Frinken