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ORCIDSeiichi Uchida
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- affiliation: Kyushu University, Fukuoka, Japan
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2020 – today
- 2023
[j52]Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida
:
Deep attentive time warping. Pattern Recognit. 136: 109201 (2023)- [j51]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) - [j50]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) - [j49]Xiaotong Ji, Daiki Suehiro, Seiichi Uchida:
Paired contrastive feature for highly reliable offline signature verification. Pattern Recognit. 144: 109816 (2023) - [c191]Daichi Haraguchi, Seiichi Uchida:
Local Style Awareness of Font Images. ICDAR Workshops (2) 2023: 242-256 - [c190]Takahiro Shirakawa, Seiichi Uchida:
Ambigram Generation by a Diffusion Model. ICDAR (3) 2023: 314-330 - [c189]Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida:
Analyzing Font Style Usage and Contextual Factors in Real Images. ICDAR (3) 2023: 331-347 - [c188]Yusuke Nagata, Brian Kenji Iwana, Seiichi Uchida:
Contour Completion by Transformers and Its Application to Vector Font Data. ICDAR (5) 2023: 490-504 - [c187]Shota Harada, Ryoma Bise, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Seiichi Uchida:
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification. ISBI 2023: 1-5 - [c186]Shumpei Takezaki, Kiyohito Tanaka, Seiichi Uchida, Takeaki Kadota:
Disease Severity Regression with Continuous Data Augmentation. ISBI 2023: 1-5 - [c185]Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images. WACV 2023: 2716-2726 - [i65]Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro:
Learning from Label Proportion with Online Pseudo-Label Decision by Regret Minimization. CoRR abs/2302.08947 (2023) - [i64]Shumpei Takezaki, Kiyohito Tanaka, Seiichi Uchida, Takeaki Kadota:
Disease Severity Regression with Continuous Data Augmentation. CoRR abs/2302.12482 (2023) - [i63]Shota Harada, Ryoma Bise, Kengo Araki, Akihiko Yoshizawa, Kazuhiro Terada, Mariyo Rokutan-Kurata, Naoki Nakajima, Hiroyuki Abe, Tetsuo Ushiku, Seiichi Uchida:
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification. CoRR abs/2303.01283 (2023) - [i62]Prakash Chandra Chhipa, Muskan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Functional Knowledge Transfer with Self-supervised Representation Learning. CoRR abs/2304.01354 (2023) - [i61]Yusuke Nagata, Brian Kenji Iwana, Seiichi Uchida:
Contour Completion by Transformers and Its Application to Vector Font Data. CoRR abs/2304.13988 (2023) - [i60]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) - [i59]Takahiro Shirakawa, Seiichi Uchida:
Ambigram Generation by A Diffusion Model. CoRR abs/2306.12049 (2023) - [i58]Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida:
Analyzing Font Style Usage and Contextual Factors in Real Images. CoRR abs/2306.12050 (2023) - [i57]Hayato Mitani, Akisato Kimura, Seiichi Uchida:
Selective Scene Text Removal. CoRR abs/2309.00410 (2023) - [i56]Rentaro Kataoka, Akisato Kimura, Seiichi Uchida:
Toward Defensive Letter Design. CoRR abs/2309.01452 (2023) - [i55]Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida, Kota Yamaguchi:
Towards Diverse and Consistent Typography Generation. CoRR abs/2309.02099 (2023) - [i54]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
- [j48]Takeaki Kadota, Kentaro Abe, Ryoma Bise, Takuji Kawamura, Naokuni Sakiyama, Kiyohito Tanaka, Seiichi Uchida:
Automatic Estimation of Ulcerative Colitis Severity by Learning to Rank With Calibration. IEEE Access 10: 25688-25695 (2022) - [j47]Daichi Haraguchi, Shota Sakaguchi, Jun Kato, Masataka Goto, Seiichi Uchida:
Fonts That Fit the Music: A Multimodal Design Trend Analysis of Lyric Videos. IEEE Access 10: 65414-65425 (2022) - [c184]Masaya Ueda, Akisato Kimura, Seiichi Uchida:
Font Shape-to-Impression Translation. DAS 2022: 3-17 - [c183]Yusuke Nagata, Jinki Otao, Daichi Haraguchi, Seiichi Uchida:
TrueType Transformer: Character and Font Style Recognition in Outline Format. DAS 2022: 18-32 - [c182]Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida:
Revealing Reliable Signatures by Learning Top-Rank Pairs. DAS 2022: 323-337 - [c181]Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki:
Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification. ECCV Workshops (7) 2022: 212-227 - [c180]Seiya Matsuda, Akisato Kimura, Seiichi Uchida:
Font Generation with Missing Impression Labels. ICPR 2022: 1400-1406 - [c179]Chean Fei Shee, Seiichi Uchida:
MontageGAN: Generation and Assembly of Multiple Components by GANs. ICPR 2022: 1478-1484 - [c178]Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida:
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. MIUA 2022: 609-622 - [c177]Jihun Kang, Daichi Haraguchi, Seiya Matsuda, Akisato Kimura, Seiichi Uchida:
Shared Latent Space of Font Shapes and Their Noisy Impressions. MMM (2) 2022: 146-157 - [e6]Seiichi Uchida, Elisa H. Barney Smith, Véronique Eglin:
Document Analysis Systems - 15th IAPR International Workshop, DAS 2022, La Rochelle, France, May 22-25, 2022, Proceedings. Lecture Notes in Computer Science 13237, Springer 2022, ISBN 978-3-031-06554-5 [contents] - [i53]Yusuke Nagata, Jinki Otao, Daichi Haraguchi, Seiichi Uchida:
TrueType Transformer: Character and Font Style Recognition in Outline Format. CoRR abs/2203.05338 (2022) - [i52]Masaya Ueda, Akisato Kimura, Seiichi Uchida:
Font Shape-to-Impression Translation. CoRR abs/2203.05808 (2022) - [i51]Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images. CoRR abs/2203.07707 (2022) - [i50]Xiaotong Ji, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida:
Optimal Rejection Function Meets Character Recognition Tasks. CoRR abs/2203.09151 (2022) - [i49]Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida:
Revealing Reliable Signatures by Learning Top-Rank Pairs. CoRR abs/2203.09927 (2022) - [i48]Seiya Matsuda, Akisato Kimura, Seiichi Uchida:
Font Generation with Missing Impression Labels. CoRR abs/2203.10348 (2022) - [i47]Chean Fei Shee, Seiichi Uchida:
MontageGAN: Generation and Assembly of Multiple Components by GANs. CoRR abs/2205.15577 (2022) - [i46]Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida:
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. CoRR abs/2208.03020 (2022) - [i45]Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki:
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification. CoRR abs/2210.10633 (2022) - 2021
- [j46]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) - [j45]Josep Lladós, Daniel Lopresti, Seiichi Uchida:
Editorial for special issue on "Advanced Topics in Document Analysis and Recognition". Int. J. Document Anal. Recognit. 24(3): 145-147 (2021) - [j44]Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida:
Soft and self constrained clustering for group-based labeling. Medical Image Anal. 72: 102097 (2021) - [j43]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) - [j42]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) - [j41]Yan Zheng, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida:
Top-rank convolutional neural network and its application to medical image-based diagnosis. Pattern Recognit. 120: 108138 (2021) - [c176]Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida:
Layer-Wise Interpretation of Deep Neural Networks using Identity Initialization. ICASSP 2021: 3945-3949 - [c175]Shinnosuke Matsuo, Seiichi Uchida, Brian Kenji Iwana:
Self-Augmented Multi-Modal Feature Embedding. ICASSP 2021: 3995-3999 - [c174]Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida, Kota Yamaguchi:
De-rendering Stylized Texts. ICCV 2021: 1056-1065 - [c173]Shintaro Nishi, Takeaki Kadota, Seiichi Uchida:
Famous Companies Use More Letters in Logo: A Large-Scale Analysis of Text Area in Logo. ICDAR Workshops (1) 2021: 97-111 - [c172]Kaigen Tsuji, Seiichi Uchida, Brian Kenji Iwana:
Using Robust Regression to Find Font Usage Trends. ICDAR Workshops (2) 2021: 126-141 - [c171]Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi:
Meta-learning of Pooling Layers for Character Recognition. ICDAR (3) 2021: 188-203 - [c170]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 - [c169]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 - [c168]Wensheng Zhang, Yan Zheng, Taiga Miyazono, Seiichi Uchida, Brian Kenji Iwana:
Towards Book Cover Design via Layout Graphs. ICDAR (3) 2021: 642-657 - [c167]Masaya Ueda, Akisato Kimura, Seiichi Uchida:
Which Parts Determine the Impression of the Font? ICDAR (3) 2021: 723-738 - [c166]Seiya Matsuda, Akisato Kimura, Seiichi Uchida:
Impressions2Font: Generating Fonts by Specifying Impressions. ICDAR (3) 2021: 739-754 - [c165]Hideaki Hayashi, Seiichi Uchida:
A Discriminative Gaussian Mixture Model with Sparsity. ICLR 2021 - [c164]Yan Zheng, Daiki Suehiro, Seiichi Uchida:
Top-Rank Learning Robust to Outliers. ICONIP (3) 2021: 608-619 - [c163]Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida:
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. MICCAI (2) 2021: 471-480 - [c162]Kai Han, Jinho Lee, Lang Huang, Fangcheng Liu, Seiichi Uchida, Chao Zhang:
Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking. ICSI (2) 2021: 391-406 - [e5]Josep Lladós, Daniel Lopresti, Seiichi Uchida:
16th International Conference on Document Analysis and Recognition, ICDAR 2021, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12821, Springer 2021, ISBN 978-3-030-86548-1 [contents] - [e4]Josep Lladós, Daniel Lopresti, Seiichi Uchida:
16th International Conference on Document Analysis and Recognition, ICDAR 2021, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12822, Springer 2021, ISBN 978-3-030-86330-2 [contents] - [e3]Josep Lladós, Daniel Lopresti, Seiichi Uchida:
16th International Conference on Document Analysis and Recognition, ICDAR 2021, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12823, Springer 2021, ISBN 978-3-030-86333-3 [contents] - [e2]Josep Lladós, Daniel Lopresti, Seiichi Uchida:
16th International Conference on Document Analysis and Recognition, ICDAR 2021, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12824, Springer 2021, ISBN 978-3-030-86336-4 [contents] - [i44]Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida:
Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization. CoRR abs/2102.13333 (2021) - [i43]Shinnosuke Matsuo, Seiichi Uchida, Brian Kenji Iwana:
Self-Augmented Multi-Modal Feature Embedding. CoRR abs/2103.04731 (2021) - [i42]Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi:
Meta-learning of Pooling Layers for Character Recognition. CoRR abs/2103.09528 (2021) - [i41]Seiya Matsuda, Akisato Kimura, Seiichi Uchida:
Impressions2Font: Generating Fonts by Specifying Impressions. CoRR abs/2103.10036 (2021) - [i40]Jihun Kang, Daichi Haraguchi, Akisato Kimura, Seiichi Uchida:
Shared Latent Space of Font Shapes and Impressions. CoRR abs/2103.12347 (2021) - [i39]Masaya Ueda, Akisato Kimura, Seiichi Uchida:
Which Parts determine the Impression of the Font? CoRR abs/2103.14216 (2021) - [i38]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) - [i37]Shintaro Nishi, Takeaki Kadota, Seiichi Uchida:
Famous Companies Use More Letters in Logo: A Large-Scale Analysis of Text Area in Logo. CoRR abs/2104.00327 (2021) - [i36]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) - [i35]Wensheng Zhang, Yan Zheng, Taiga Miyazono, Seiichi Uchida, Brian Kenji Iwana:
Towards Book Cover Design via Layout Graphs. CoRR abs/2105.11088 (2021) - [i34]Kaigen Tsuji, Seiichi Uchida, Brian Kenji Iwana:
Using Robust Regression to Find Font Usage Trends. CoRR abs/2106.15232 (2021) - [i33]Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida, Kota Yamaguchi:
De-rendering Stylized Texts. CoRR abs/2110.01890 (2021) - [i32]Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida:
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. CoRR abs/2111.03815 (2021) - 2020
- [j40]Tomo Miyazaki, Tatsunori Tsuchiya, Yoshihiro Sugaya, Shinichiro Omachi, Masakazu Iwamura, Seiichi Uchida, Koichi Kise:
Automatic Generation of Typographic Font From Small Font Subset. IEEE Computer Graphics and Applications 40(1): 99-111 (2020) - [j39]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) - [j38]Brian Kenji Iwana, Seiichi Uchida:
Time series classification using local distance-based features in multi-modal fusion networks. Pattern Recognit. 97 (2020) - [j37]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) - [j36]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) - [c161]Seokjun Kang, Brian Kenji Iwana, Seiichi Uchida:
ACMU-Nets: Attention Cascading Modular U-Nets Incorporating Squeeze and Excitation Blocks. DAS 2020: 118-130 - [c160]Masaya Ikoma, Brian Kenji Iwana, Seiichi Uchida:
Effect of Text Color on Word Embeddings. DAS 2020: 341-355 - [c159]Shota Sakaguchi, Jun Kato, Masataka Goto, Seiichi Uchida:
Lyric Video Analysis Using Text Detection and Tracking. DAS 2020: 426-440 - [c158]Daichi Haraguchi, Shota Harada, Brian Kenji Iwana, Yuto Shinahara, Seiichi Uchida:
Character-Independent Font Identification. DAS 2020: 497-511 - [c157]Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida:
Neural Style Difference Transfer and Its Application to Font Generation. DAS 2020: 544-558 - [c156]Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida:
Regularized Pooling. ICANN (2) 2020: 241-254 - [c155]Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida:
Handwriting Prediction Considering Inter-Class Bifurcation Structures. ICFHR 2020: 103-108 - [c154]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 - [c153]Xiaomeng Wu, Akisato Kimura, Kunio Kashino, Seiichi Uchida:
Total Whitening for Online Signature Verification Based on Deep Representation. ICPR 2020: 655-661 - [c152]Brian Kenji Iwana, Seiichi Uchida:
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher. ICPR 2020: 3558-3565 - [c151]Koki Takeshita, Juntaro Shioyama, Seiichi Uchida:
Label or Message: A Large-Scale Experimental Survey of Texts and Objects Co-Occurrence. ICPR 2020: 6227-6234 - [c150]Takuro Karamatsu, Gibran Benitez-Garcia, Keiji Yanai, Seiichi Uchida:
Iconify: Converting Photographs into Icons. MMArt&ACM@ICMR 2020: 7-12 - [c149]Heon Song, Daiki Suehiro, Seiichi Uchida:
Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound. WACV 2020: 670-678 - [i31]Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida:
Neural Style Difference Transfer and Its Application to Font Generation. CoRR abs/2001.07321 (2020) - [i30]Daichi Haraguchi, Shota Harada, Brian Kenji Iwana, Yuto Shinahara, Seiichi Uchida:
Character-independent font identification. CoRR abs/2001.08893 (2020) - [i29]N. Mitsuo, Seiichi Uchida, Daiki Suehiro:
No Regret Sample Selection with Noisy Labels. CoRR abs/2003.03179 (2020) - [i28]Takuro Karamatsu, Gibran Benitez-Garcia, Keiji Yanai, Seiichi Uchida:
Iconify: Converting Photographs into Icons. CoRR abs/2004.03179 (2020) - [i27]Masaya Ikoma, Brian Kenji Iwana, Seiichi Uchida:
Effect of Text Color on Word Embeddings. CoRR abs/2004.08526 (2020) - [i26]Brian Kenji Iwana, Seiichi Uchida:
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher. CoRR abs/2004.08780 (2020) - [i25]Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida:
Regularized Pooling. CoRR abs/2005.03709 (2020) - [i24]Shota Sakaguchi, Jun Kato, Masataka Goto, Seiichi Uchida:
Lyric Video Analysis Using Text Detection and Tracking. CoRR abs/2006.11933 (2020) - [i23]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) - [i22]Koki Takeshita, Juntaro Shioyama, Seiichi Uchida:
Label or Message: A Large-Scale Experimental Survey of Texts and Objects Co-Occurrence. CoRR abs/2007.15381 (2020) - [i21]Brian Kenji Iwana, Seiichi Uchida:
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks. CoRR abs/2007.15951 (2020) - [i20]Heon Song, Daiki Suehiro, Seiichi Uchida:
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee. CoRR abs/2009.09237 (2020) - [i19]Keisuke Kanda, Brian Kenji Iwana, Seiichi Uchida:
What is the Reward for Handwriting? - Handwriting Generation by Imitation Learning. CoRR abs/2009.10962 (2020) - [i18]Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida:
Handwriting Prediction Considering Inter-Class Bifurcation Structures. CoRR abs/2009.12743 (2020)
2010 – 2019
- 2019
- [j35]Wataru Ohyama, Masakazu Suzuki, Seiichi Uchida:
Detecting Mathematical Expressions in Scientific Document Images Using a U-Net Trained on a Diverse Dataset. IEEE Access 7: 144030-144042 (2019) - [j34]Shota Harada, Hideaki Hayashi, Seiichi Uchida:
Biosignal Generation and Latent Variable Analysis With Recurrent Generative Adversarial Networks. IEEE Access 7: 144292-144302 (2019) - [j33]Anna Zhu, Seiichi Uchida:
Scene word recognition from pieces to whole. Frontiers Comput. Sci. 13(2): 292-301 (2019) - [j32]Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida:
GlyphGAN: Style-consistent font generation based on generative adversarial networks. Knowl. Based Syst. 186 (2019) - [j31]