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

Pattern recognition, 2020-01, Vol.97, p.107024, Article 107024

2020

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

PloS one, 2021-07, Vol.16 (7), p.e0254841

2021

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Mining the displacement of max-pooling for text recognition

Pattern recognition, 2019-09, Vol.93, p.558-569

2019

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Guided neural style transfer for shape stylization

PloS one, 2020-06, Vol.15 (6), p.e0233489-e0233489

2020

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

Pattern recognition, 2021-10, Vol.118, p.108008, Article 108008

2021

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On Mini-Batch Training with Varying Length Time Series

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.4483-4487

Kenji Iwana, Brian

2022

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FETNet: Feature erasing and transferring network for scene text removal

Pattern recognition, 2023-08, Vol.140, p.109531, Article 109531

2023

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Few-Shot Text Style Transfer via Deep Feature Similarity

IEEE transactions on image processing, 2020, Vol.29, p.6932-6946

2020

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

Document Analysis Systems, p.118-130

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

IEEE access, 2021, Vol.9, p.103279-103290

2021

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Attention to Warp: Deep Metric Learning for Multivariate Time Series

Document Analysis and Recognition – ICDAR 2021, p.350-365

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Dynamic Weight Alignment for Temporal Convolutional Neural Networks

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.3827-3831

2019

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How do Convolutional Neural Networks Learn Design?

2018 24th International Conference on Pattern Recognition (ICPR), 2018, p.1085-1090

2018

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

Pattern recognition, 2021-01, Vol.109, p.107577, Article 107577

2021

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Benchmarking Deep Learning Models for Classification of Book Covers

SN computer science, 2020-05, Vol.1 (3), p.139, Article 139

2020

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

Knowledge-based systems, 2020-01, Vol.188, p.104971, Article 104971

2020

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

2020 25th International Conference on Pattern Recognition (ICPR), 2021, p.3558-3565

2021

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

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019, p.4176-4185

2019

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Deep attentive time warping

Pattern recognition, 2023-04, Vol.136, p.109201, Article 109201

2023

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Dynamic Data Augmentation with Gating Networks for Time Series Recognition

2022 26th International Conference on Pattern Recognition (ICPR), 2022, p.3034-3040

2022

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

Science China. Information sciences, 2024-03, Vol.67 (3), p.139101, Article 139101

2024

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Self-Augmented Multi-Modal Feature Embedding

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.3995-3999

2021

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

Pattern recognition, 2017-04, Vol.64, p.268-276

2017

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

Pattern Recognition, 2023, Vol.14406, p.123-136

2023

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Effect of Text Color on Word Embeddings

Document Analysis Systems, p.341-355

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

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

Mining the displacement of max-pooling for text recognition

Guided neural style transfer for shape stylization

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

On Mini-Batch Training with Varying Length Time Series

FETNet: Feature erasing and transferring network for scene text removal

Few-Shot Text Style Transfer via Deep Feature Similarity

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

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

Attention to Warp: Deep Metric Learning for Multivariate Time Series

Dynamic Weight Alignment for Temporal Convolutional Neural Networks

How do Convolutional Neural Networks Learn Design?

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

Benchmarking Deep Learning Models for Classification of Book Covers

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

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

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

Deep attentive time warping

Dynamic Data Augmentation with Gating Networks for Time Series Recognition

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

Self-Augmented Multi-Modal Feature Embedding

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

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

Effect of Text Color on Word Embeddings

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