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2020 – today
- 2024
[j14]Ke Xiao, Anna Zhu, Brian Kenji Iwana, Cheng-Lin Liu:
Scene text recognition via dual character counting-aware visual and semantic modeling network. Sci. China Inf. Sci. 67(3) (2024)- [c43]Daichi Haraguchi
, Brian Kenji Iwana, Seiichi Uchida:
What Text Design Characterizes Book Genres? DAS 2024: 165-181 - [c42]Yoh Yamashita, Brian Kenji Iwana:
Test Time Augmentation as a Defense Against Adversarial Attacks on Online Handwriting. ICDAR (2) 2024: 156-172 - [c41]Yoh Yamashita, Brian Kenji Iwana:
Improving the Robustness of Time Series Neural Networks from Adversarial Attacks Using Time Warping. ICPR (14) 2024: 15-30 - [c40]Jiseok Lee, Masaki Akiba, Brian Kenji Iwana:
Improving Online Handwriting Recognition with Transfer Learning Using Out-of-Domain and Different-Dimensional Sources. ICPR (31) 2024: 61-75 - [c39]Jiseok Lee, Brian Kenji Iwana:
Model Selection with a Shapelet-Based Distance Measure for Multi-source Transfer Learning in Time Series Classification. ICPR (27) 2024: 160-175 - [i30]Daichi Haraguchi, Brian Kenji Iwana, Seiichi Uchida:
What Text Design Characterizes Book Genres? CoRR abs/2402.16356 (2024) - [i29]Jiseok Lee, Brian Kenji Iwana:
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classification. CoRR abs/2409.20005 (2024) - 2023
- [j13]Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida:
Deep attentive time warping. Pattern Recognit. 136: 109201 (2023) - [j12]Guangtao Lyu, Kun Liu, Anna Zhu, Seiichi Uchida, Brian Kenji Iwana:
FETNet: Feature erasing and transferring network for scene text removal. Pattern Recognit. 140: 109531 (2023) - [j11]Guangtao Lyu, Kun Liu, Anna Zhu, Seiichi Uchida, Brian Kenji Iwana:
Corrigendum to "FETNet: Feature Erasing and Transferring Network for Scene Text Removal": Pattern Recognition Volume 140 (2023) 109531. Pattern Recognit. 141: 109581 (2023) - [c38]Karthikeyan Suresh, Brian Kenji Iwana:
Using Motif-Based Features to Improve Signal Classification with Temporal Neural Networks. ACPR (1) 2023: 123-136 - [c37]Wei Pan, Anna Zhu, Xinyu Zhou, Brian Kenji Iwana, Shilin Li:
Few shot font generation via transferring similarity guided global style and quantization local style. ICCV 2023: 19449-19459 - [c36]Brian Kenji Iwana, Akihiro Kusuda:
Vision Conformer: Incorporating Convolutions into Vision Transformer Layers. ICDAR (4) 2023: 54-69 - [c35]Yusuke Nagata, Brian Kenji Iwana, Seiichi Uchida:
Contour Completion by Transformers and Its Application to Vector Font Data. ICDAR (5) 2023: 490-504 - [i28]Yusuke Nagata, Brian Kenji Iwana, Seiichi Uchida:
Contour Completion by Transformers and Its Application to Vector Font Data. CoRR abs/2304.13988 (2023) - [i27]Brian Kenji Iwana, Akihiro Kusuda:
Vision Conformer: Incorporating Convolutions into Vision Transformer Layers. CoRR abs/2304.13991 (2023) - [i26]Guangtao Lyu, Kun Liu, Anna Zhu, Seiichi Uchida, Brian Kenji Iwana:
FETNet: Feature Erasing and Transferring Network for Scene Text Removal. CoRR abs/2306.09593 (2023) - [i25]Wei Pan, Anna Zhu, Xinyu Zhou, Brian Kenji Iwana, Shilin Li:
Few shot font generation via transferring similarity guided global style and quantization local style. CoRR abs/2309.00827 (2023) - [i24]Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida:
Deep Attentive Time Warping. CoRR abs/2309.06720 (2023) - 2022
- [c34]Brian Kenji Iwana:
On Mini-Batch Training with Varying Length Time Series. ICASSP 2022: 4483-4487 - [c33]Daisuke Oba, Shinnosuke Matsuo, Brian Kenji Iwana:
Dynamic Data Augmentation with Gating Networks for Time Series Recognition. ICPR 2022: 3034-3040 - [c32]Anna Zhu, Zhanhui Yin, Brian Kenji Iwana, Xinyu Zhou, Shengwu Xiong:
Text Style Transfer based on Multi-factor Disentanglement and Mixture. ACM Multimedia 2022: 2430-2440 - [i23]Brian Kenji Iwana:
On Mini-Batch Training with Varying Length Time Series. CoRR abs/2212.06536 (2022) - 2021
- [j10]Seokjun Kang, Seiichi Uchida, Brian Kenji Iwana:
Tunable U-Net: Controlling Image-to-Image Outputs Using a Tunable Scalar Value. IEEE Access 9: 103279-103290 (2021) - [j9]Seokjun Kang, Brian Kenji Iwana, Seiichi Uchida:
Complex image processing with less data - Document image binarization by integrating multiple pre-trained U-Net modules. Pattern Recognit. 109: 107577 (2021) - [j8]Yuchen Zheng, Brian Kenji Iwana, Muhammad Imran Malik, Sheraz Ahmed, Wataru Ohyama, Seiichi Uchida:
Learning the micro deformations by max-pooling for offline signature verification. Pattern Recognit. 118: 108008 (2021) - [c31]Shinnosuke Matsuo, Seiichi Uchida, Brian Kenji Iwana:
Self-Augmented Multi-Modal Feature Embedding. ICASSP 2021: 3995-3999 - [c30]Kaigen Tsuji, Seiichi Uchida, Brian Kenji Iwana:
Using Robust Regression to Find Font Usage Trends. ICDAR Workshops (2) 2021: 126-141 - [c29]Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida:
Attention to Warp: Deep Metric Learning for Multivariate Time Series. ICDAR (3) 2021: 350-365 - [c28]Taiga Miyazono, Brian Kenji Iwana, Daichi Haraguchi, Seiichi Uchida:
Font Style that Fits an Image - Font Generation Based on Image Context. ICDAR (3) 2021: 569-584 - [c27]Wensheng Zhang, Yan Zheng, Taiga Miyazono, Seiichi Uchida, Brian Kenji Iwana:
Towards Book Cover Design via Layout Graphs. ICDAR (3) 2021: 642-657 - [i22]Shinnosuke Matsuo, Seiichi Uchida, Brian Kenji Iwana:
Self-Augmented Multi-Modal Feature Embedding. CoRR abs/2103.04731 (2021) - [i21]Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida:
Attention to Warp: Deep Metric Learning for Multivariate Time Series. CoRR abs/2103.15074 (2021) - [i20]Taiga Miyazono, Brian Kenji Iwana, Daichi Haraguchi, Seiichi Uchida:
Font Style that Fits an Image - Font Generation Based on Image Context. CoRR abs/2105.08879 (2021) - [i19]Wensheng Zhang, Yan Zheng, Taiga Miyazono, Seiichi Uchida, Brian Kenji Iwana:
Towards Book Cover Design via Layout Graphs. CoRR abs/2105.11088 (2021) - [i18]Kaigen Tsuji, Seiichi Uchida, Brian Kenji Iwana:
Using Robust Regression to Find Font Usage Trends. CoRR abs/2106.15232 (2021) - [i17]Daisuke Oba, Shinnosuke Matsuo, Brian Kenji Iwana:
Dynamic Data Augmentation with Gating Networks. CoRR abs/2111.03253 (2021) - 2020
- [j7]Brian Kenji Iwana, Volkmar Frinken, Seiichi Uchida:
DTW-NN: A novel neural network for time series recognition using dynamic alignment between inputs and weights. Knowl. Based Syst. 188 (2020) - [j6]Brian Kenji Iwana, Seiichi Uchida:
Time series classification using local distance-based features in multi-modal fusion networks. Pattern Recognit. 97 (2020) - [j5]Adriano Lucieri, Huzaifa Sabir, Shoaib Ahmed Siddiqui, Syed Tahseen Raza Rizvi, Brian Kenji Iwana, Seiichi Uchida, Andreas Dengel, Sheraz Ahmed:
Benchmarking Deep Learning Models for Classification of Book Covers. SN Comput. Sci. 1(3): 139 (2020) - [j4]Anna Zhu, Xiongbo Lu, Xiang Bai, Seiichi Uchida, Brian Kenji Iwana, Shengwu Xiong:
Few-Shot Text Style Transfer via Deep Feature Similarity. IEEE Trans. Image Process. 29: 6932-6946 (2020) - [c26]Seokjun Kang, Brian Kenji Iwana, Seiichi Uchida:
ACMU-Nets: Attention Cascading Modular U-Nets Incorporating Squeeze and Excitation Blocks. DAS 2020: 118-130 - [c25]Masaya Ikoma, Brian Kenji Iwana, Seiichi Uchida:
Effect of Text Color on Word Embeddings. DAS 2020: 341-355 - [c24]Daichi Haraguchi, Shota Harada, Brian Kenji Iwana, Yuto Shinahara, Seiichi Uchida:
Character-Independent Font Identification. DAS 2020: 497-511 - [c23]Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida:
Neural Style Difference Transfer and Its Application to Font Generation. DAS 2020: 544-558 - [c22]Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise:
Negative Pseudo Labeling Using Class Proportion for Semantic Segmentation in Pathology. ECCV (15) 2020: 430-446 - [c21]Keisuke Kanda, Brian Kenji Iwana, Seiichi Uchida:
What is the Reward for Handwriting? - A Handwriting Generation Model Based on Imitation Learning. ICFHR 2020: 109-114 - [c20]Brian Kenji Iwana, Seiichi Uchida:
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher. ICPR 2020: 3558-3565 - [i16]Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida:
Neural Style Difference Transfer and Its Application to Font Generation. CoRR abs/2001.07321 (2020) - [i15]Daichi Haraguchi, Shota Harada, Brian Kenji Iwana, Yuto Shinahara, Seiichi Uchida:
Character-independent font identification. CoRR abs/2001.08893 (2020) - [i14]Masaya Ikoma, Brian Kenji Iwana, Seiichi Uchida:
Effect of Text Color on Word Embeddings. CoRR abs/2004.08526 (2020) - [i13]Brian Kenji Iwana, Seiichi Uchida:
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher. CoRR abs/2004.08780 (2020) - [i12]Kohei Baba, Seiichi Uchida, Brian Kenji Iwana:
On the Ability of a CNN to Realize Image-to-Image Language Conversion. CoRR abs/2006.12316 (2020) - [i11]Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise:
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology. CoRR abs/2007.08044 (2020) - [i10]Brian Kenji Iwana, Seiichi Uchida:
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks. CoRR abs/2007.15951 (2020) - [i9]Keisuke Kanda, Brian Kenji Iwana, Seiichi Uchida:
What is the Reward for Handwriting? - Handwriting Generation by Imitation Learning. CoRR abs/2009.10962 (2020)
2010 – 2019
- 2019
- [j3]Yuchen Zheng, Brian Kenji Iwana, Seiichi Uchida:
Mining the displacement of max-pooling for text recognition. Pattern Recognit. 93: 558-569 (2019) - [c19]Brian Kenji Iwana, Seiichi Uchida:
Dynamic Weight Alignment for Temporal Convolutional Neural Networks. ICASSP 2019: 3827-3831 - [c18]Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida:
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation. ICCV Workshops 2019: 4176-4185 - [c17]Ryo Nakao, Brian Kenji Iwana, Seiichi Uchida:
Selective Super-Resolution for Scene Text Images. ICDAR 2019: 401-406 - [c16]Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida:
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders. ICDAR 2019: 407-412 - [c15]Kohei Baba, Seiichi Uchida, Brian Kenji Iwana:
On the Ability of a CNN to Realize Image-to-Image Language Conversion. ICDAR 2019: 448-453 - [c14]Seokjun Kang, Brian Kenji Iwana, Seiichi Uchida:
Cascading Modular U-Nets for Document Image Binarization. ICDAR 2019: 675-680 - [c13]Xiaomeng Wu, Akisato Kimura, Brian Kenji Iwana, Seiichi Uchida, Kunio Kashino:
Deep Dynamic Time Warping: End-to-End Local Representation Learning for Online Signature Verification. ICDAR 2019: 1103-1110 - [c12]Yuchen Zheng, Wataru Ohyama, Brian Kenji Iwana, Seiichi Uchida:
Capturing Micro Deformations from Pooling Layers for Offline Signature Verification. ICDAR 2019: 1111-1116 - [i8]Joonho Lee, Kumar Shridhar, Hideaki Hayashi, Brian Kenji Iwana, Seokjun Kang, Seiichi Uchida:
ProbAct: A Probabilistic Activation Function for Deep Neural Networks. CoRR abs/1905.10761 (2019) - [i7]Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida:
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders. CoRR abs/1906.06142 (2019) - [i6]Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida:
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation. CoRR abs/1908.04351 (2019) - 2018
- [c11]Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida:
Contained Neural Style Transfer for Decorated Logo Generation. DAS 2018: 317-322 - [c10]Brian Kenji Iwana, Minoru Mori, Akisato Kimura, Seiichi Uchida:
Introducing Local Distance-Based Features to Temporal Convolutional Neural Networks. ICFHR 2018: 92-97 - [c9]Yuchen Zheng, Brian Kenji Iwana, Seiichi Uchida:
Discovering Class-Wise Trends of Max-Pooling in Subspace. ICFHR 2018: 98-103 - [c8]Shailza Jolly, Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida:
How do Convolutional Neural Networks Learn Design? ICPR 2018: 1085-1090 - [i5]Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida:
Contained Neural Style Transfer for Decorated Logo Generation. CoRR abs/1803.00686 (2018) - [i4]Shailza Jolly, Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida:
How do Convolutional Neural Networks Learn Design? CoRR abs/1808.08402 (2018) - 2017
- [j2]Brian Kenji Iwana, Volkmar Frinken, Kaspar Riesen, Seiichi Uchida:
Efficient temporal pattern recognition by means of dissimilarity space embedding with discriminative prototypes. Pattern Recognit. 64: 268-276 (2017) - [c7]Kotaro Abe, Brian Kenji Iwana, Viktor Gosta Holmer, Seiichi Uchida:
Font Creation Using Class Discriminative Deep Convolutional Generative Adversarial Networks. ACPR 2017: 232-237 - [c6]Gantugs Atarsaikhan, Brian Kenji Iwana, Atsushi Narusawa, Keiji Yanai, Seiichi Uchida:
Neural Font Style Transfer. WML@ICDAR 2017: 51-56 - [c5]Brian Kenji Iwana, Letao Zhou, Kumiko Tanaka-Ishii, Seiichi Uchida:
Component Awareness in Convolutional Neural Networks. ICDAR 2017: 394-399 - [c4]Jinho Lee, Brian Kenji Iwana, Shouta Ide, Hideaki Hayashi, Seiichi Uchida:
Globally Optimal Object Tracking with Complementary Use of Single Shot Multibox Detector and Fully Convolutional Network. PSIVT 2017: 110-122 - [i3]Brian Kenji Iwana, Seiichi Uchida:
Dynamic Weight Alignment for Convolutional Neural Networks. CoRR abs/1712.06530 (2017) - 2016
- [c3]Brian Kenji Iwana, Volkmar Frinken, Seiichi Uchida:
A Robust Dissimilarity-Based Neural Network for Temporal Pattern Recognition. ICFHR 2016: 265-270 - [c2]Seiichi Uchida, Shouta Ide, Brian Kenji Iwana, Anna Zhu:
A Further Step to Perfect Accuracy by Training CNN with Larger Data. ICFHR 2016: 405-410 - [i2]Brian Kenji Iwana, Seiichi Uchida:
Judging a Book By its Cover. CoRR abs/1610.09204 (2016) - [i1]Jinho Lee, Brian Kenji Iwana, Shouta Ide, Seiichi Uchida:
Globally Optimal Object Tracking with Fully Convolutional Networks. CoRR abs/1612.08274 (2016) - 2015
- [j1]Anna Zhu, Guoyou Wang, Yangbo Dong, Brian Kenji Iwana:
Detecting text in natural scene images with conditional clustering and convolution neural network. J. Electronic Imaging 24(5): 053019 (2015) - [c1]Brian Kenji Iwana, Seiichi Uchida, Kaspar Riesen, Volkmar Frinken:
Tackling temporal pattern recognition by vector space embedding. ICDAR 2015: 816-820
Coauthor Index
[c43] [i30] [j13] [j12] [j11] [c35] [i28] [i26] [i24] [j10] [j9] [j8] [c31] [c30] [c29] [c28] [c27] [i22] [i21] [i20] [i19] [i18] [j7] [j6] [j5] [j4] [c26] [c25] [c24] [c23] [c21] [c20] [i16] [i15] [i14] [i13] [i12] [i10] [i9] [j3] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [i8] [i7] [i6] [c11] [c10] [c9] [c8] [i5] [i4] [j2] [c7] [c6] [c5] [c4] [i3] [c3] [c2] [i2] [i1] [c1]
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