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ORCIDSeiichi Uchida
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- affiliation: Kyushu University, Fukuoka, Japan
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2020 – today
- 2024
[j54]Takeaki Kadota
, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida:
Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity. Medical Image Anal. 97: 103262 (2024)- [j53]Heon Song, Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro:
No regret sample selection with noisy labels. Mach. Learn. 113(3): 1163-1188 (2024) - [c208]Takahiro Shirakawa, Seiichi Uchida:
NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging. CVPR 2024: 8921-8930 - [c207]Daichi Haraguchi, Brian Kenji Iwana, Seiichi Uchida:
What Text Design Characterizes Book Genres? DAS 2024: 165-181 - [c206]Ryo Ishiyama, Takahiro Shirakawa, Seiichi Uchida, Shinnosuke Matsuo:
Test-Time Augmentation for Traveling Salesperson Problem. ICANN (1) 2024: 194-208 - [c205]Kei Nakatsuru, Seiichi Uchida:
Learning to Kern: Set-Wise Estimation of Optimal Letter Space. ICDAR (2) 2024: 18-34 - [c204]Kazuki Kitajima, Daichi Haraguchi, Seiichi Uchida:
Font Impression Estimation in the Wild. ICDAR (2) 2024: 35-51 - [c203]KhayTze Peong, Seiichi Uchida, Daichi Haraguchi:
Typographic Text Generation with Off-the-Shelf Diffusion Model. ICDAR (2) 2024: 52-69 - [c202]Yugo Kubota, Daichi Haraguchi, Seiichi Uchida:
Impression-CLIP: Contrastive Shape-Impression Embedding for Fonts. ICDAR (2) 2024: 70-85 - [c201]Tetta Kondo, Shumpei Takezaki, Daichi Haraguchi, Seiichi Uchida:
Font Style Interpolation with Diffusion Models. ICDAR (2) 2024: 86-103 - [c200]Sho Shimotsumagari, Shumpei Takezaki, Daichi Haraguchi, Seiichi Uchida:
Cross-Domain Image Conversion by CycleDM. ICDAR (4) 2024: 389-406 - [c199]Masahito Toba, Seiichi Uchida, Hideaki Hayashi:
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model. IJCNN 2024: 1-8 - [c198]Shumpei Takezaki, Seiichi Uchida:
An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels. ISBI 2024: 1-5 - [c197]Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Learning from Partial Label Proportions for Whole Slide Image Segmentation. MICCAI (11) 2024: 372-382 - [c196]Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida, Kota Yamaguchi:
Towards Diverse and Consistent Typography Generation. WACV 2024: 7281-7290 - [i81]Tetta Kondo, Shumpei Takezaki, Daichi Haraguchi, Seiichi Uchida:
Font Style Interpolation with Diffusion Models. CoRR abs/2402.14311 (2024) - [i80]Kei Nakatsuru, Seiichi Uchida:
Learning to Kern - Set-wise Estimation of Optimal Letter Space. CoRR abs/2402.14313 (2024) - [i79]KhayTze Peong, Seiichi Uchida, Daichi Haraguchi:
Typographic Text Generation with Off-the-Shelf Diffusion Model. CoRR abs/2402.14314 (2024) - [i78]Kazuki Kitajima, Daichi Haraguchi, Seiichi Uchida:
Font Impression Estimation in the Wild. CoRR abs/2402.15236 (2024) - [i77]Yugo Kubota, Daichi Haraguchi, Seiichi Uchida:
Impression-CLIP: Contrastive Shape-Impression Embedding for Fonts. CoRR abs/2402.16350 (2024) - [i76]Daichi Haraguchi, Brian Kenji Iwana, Seiichi Uchida:
What Text Design Characterizes Book Genres? CoRR abs/2402.16356 (2024) - [i75]Shumpei Takezaki, Seiichi Uchida:
An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels. CoRR abs/2403.00452 (2024) - [i74]Sho Shimotsumagari, Shumpei Takezaki, Daichi Haraguchi, Seiichi Uchida:
Cross-Domain Image Conversion by CycleDM. CoRR abs/2403.02919 (2024) - [i73]Takahiro Shirakawa, Seiichi Uchida:
NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging. CoRR abs/2403.03485 (2024) - [i72]Daichi Haraguchi, Wataru Shimoda, Kota Yamaguchi, Seiichi Uchida:
Total Disentanglement of Font Images into Style and Character Class Features. CoRR abs/2403.12784 (2024) - [i71]Masahito Toba, Seiichi Uchida, Hideaki Hayashi:
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model. CoRR abs/2404.09585 (2024) - [i70]Ryo Ishiyama, Takahiro Shirakawa, Seiichi Uchida, Shinnosuke Matsuo:
Test-Time Augmentation for Traveling Salesperson Problem. CoRR abs/2405.04767 (2024) - [i69]Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Learning from Partial Label Proportions for Whole Slide Image Segmentation. CoRR abs/2405.09041 (2024) - [i68]Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida:
Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity. CoRR abs/2409.04952 (2024) - 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) - [c195]Rentaro Kataoka, Akisato Kimura, Seiichi Uchida:
Toward Defensive Letter Design. ACPR (1) 2023: 108-122 - [c194]Hayato Mitani, Akisato Kimura, Seiichi Uchida:
Selective Scene Text Removal. BMVC 2023: 521 - [c193]Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro:
Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization. ICASSP 2023: 1-5 - [c192]Daichi Haraguchi, Seiichi Uchida:
Local Style Awareness of Font Images. ICDAR Workshops (2) 2023: 242-256 - [c191]Takahiro Shirakawa, Seiichi Uchida:
Ambigram Generation by a Diffusion Model. ICDAR (3) 2023: 314-330 - [c190]Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida:
Analyzing Font Style Usage and Contextual Factors in Real Images. ICDAR (3) 2023: 331-347 - [c189]Yusuke Nagata, Brian Kenji Iwana, Seiichi Uchida:
Contour Completion by Transformers and Its Application to Vector Font Data. ICDAR (5) 2023: 490-504 - [c188]Prakash Chandra Chhipa, Muskaan 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. ICIP 2023: 3339-3343 - [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 - [i67]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) - [i66]Shumpei Takezaki, Kiyohito Tanaka, Seiichi Uchida, Takeaki Kadota:
Disease Severity Regression with Continuous Data Augmentation. CoRR abs/2302.12482 (2023) - [i65]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) - [i64]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) - [i63]Yusuke Nagata, Brian Kenji Iwana, Seiichi Uchida:
Contour Completion by Transformers and Its Application to Vector Font Data. CoRR abs/2304.13988 (2023) - [i62]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) - [i61]Takahiro Shirakawa, Seiichi Uchida:
Ambigram Generation by A Diffusion Model. CoRR abs/2306.12049 (2023) - [i60]Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida:
Analyzing Font Style Usage and Contextual Factors in Real Images. CoRR abs/2306.12050 (2023) - [i59]Hayato Mitani, Akisato Kimura, Seiichi Uchida:
Selective Scene Text Removal. CoRR abs/2309.00410 (2023) - [i58]Rentaro Kataoka, Akisato Kimura, Seiichi Uchida:
Toward Defensive Letter Design. CoRR abs/2309.01452 (2023) - [i57]Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida, Kota Yamaguchi:
Towards Diverse and Consistent Typography Generation. CoRR abs/2309.02099 (2023) - [i56]Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida:
Deep Attentive Time Warping. CoRR abs/2309.06720 (2023) - [i55]Daichi Haraguchi, Seiichi Uchida:
Local Style Awareness of Font Images. CoRR abs/2310.06337 (2023) - [i54]Yuya Saito, Shinnosuke Matsuo, Seiichi Uchida, Daiki Suehiro:
Boosting for Bounding the Worst-class Error. CoRR abs/2310.14890 (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]Nariaki 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]Yuchen Zheng, Brian Kenji Iwana, Seiichi Uchida:
Mining the displacement of max-pooling for text recognition. Pattern Recognit. 93: 558-569 (2019) - [c148]Xiaotong Ji, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida:
Optimal Rejection Function Meets Character Recognition Tasks. ACPR (2) 2019: 169-183 - [c147]Daisuke Harada, Ryoma Bise, Hiroki Tokunaga, Wataru Ohyama, Sanae Oka, Toshihiko Fujimori, Seiichi Uchida:
Scribbles for Metric Learning in Histological Image Segmentation. EMBC 2019: 1026-1030 - [c146]Shota Harada, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Qier Meng, Seiichi Uchida:
Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming. EMBC 2019: 3681-3684 - [c145]Xiaomeng Wu, Akisato Kimura, Seiichi Uchida, Kunio Kashino:
Prewarping Siamese Network: Learning Local Representations for Online Signature Verification. ICASSP 2019: 2467-2471 - [c144]Brian Kenji Iwana, Seiichi Uchida:
Dynamic Weight Alignment for Temporal Convolutional Neural Networks. ICASSP 2019: 3827-3831 - [c143]Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida:
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation. ICCV Workshops 2019: 4176-4185 - [c142]Yosuke Onitsuka, Wataru Ohyama, Seiichi Uchida:
Training Convolutional Autoencoders with Metric Learning. ICDAR 2019: 86-91 - [c141]Ryo Nakao, Brian Kenji Iwana, Seiichi Uchida:
Selective Super-Resolution for Scene Text Images. ICDAR 2019: 401-406 - [c140]Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida:
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders. ICDAR 2019: 407-412 - [c139]Kohei Baba, Seiichi Uchida, Brian Kenji Iwana:
On the Ability of a CNN to Realize Image-to-Image Language Conversion. ICDAR 2019: 448-453 - [c138]Seokjun Kang, Brian Kenji Iwana, Seiichi Uchida:
Cascading Modular U-Nets for Document Image Binarization. ICDAR 2019: 675-680 - [c137]Toshiki Nakamura, Anna Zhu, Seiichi Uchida:
Scene Text Magnifier. ICDAR 2019: 825-830 - [c136]Yan Zheng, Yuchen Zheng, Wataru Ohyama, Daiki Suehiro, Seiichi Uchida:
RankSVM for Offline Signature Verification. ICDAR 2019: 928-933 - [c135]Joonho Lee, Hideaki Hayashi, Wataru Ohyama, Seiichi Uchida:
Page Segmentation using a Convolutional Neural Network with Trainable Co-Occurrence Features. ICDAR 2019: 1023-1028 - [c134]Yuto Shinahara, Takuro Karamatsu, Daisuke Harada, Kota Yamaguchi, Seiichi Uchida:
Serif or Sans: Visual Font Analytics on Book Covers and Online Advertisements. ICDAR 2019: 1041-1046 - [c133]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 - [c132]Yuchen Zheng, Wataru Ohyama, Brian Kenji Iwana, Seiichi Uchida:
Capturing Micro Deformations from Pooling Layers for Offline Signature Verification. ICDAR 2019: 1111-1116 - [c131]Takuro Karamatsu, Daiki Suehiro, Seiichi Uchida:
Logo Design Analysis by Ranking. ICDAR 2019: 1482-1487 - [c130]Ryoma Bise, Kentaro Abe, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida:
Efficient Soft-Constrained Clustering for Group-Based Labeling. MICCAI (5) 2019: 421-430 - [c129]Frédéric Rayar, Seiichi Uchida:
Comic Text Detection Using Neural Network Approach. MMM (2) 2019: 672-683 - [i17]Shota Harada, Hideaki Hayashi, Seiichi Uchida:
Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks. CoRR abs/1905.07136 (2019) - [i16]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) - [i15]Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida:
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks. CoRR abs/1905.12502 (2019) - [i14]Hideaki Hayashi, Seiichi Uchida:
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction. CoRR abs/1905.12871 (2019) - [i13]Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida:
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders. CoRR abs/1906.06142 (2019) - [i12]Yuto Shinahara, Takuro Karamatsu, Daisuke Harada, Kota Yamaguchi, Seiichi Uchida:
Serif or Sans: Visual Font Analytics on Book Covers and Online Advertisements. CoRR abs/1906.10269 (2019) - [i11]Toshiki Nakamura, Anna Zhu, Seiichi Uchida:
Scene Text Magnifier. CoRR abs/1907.00693 (2019) - [i10]Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida:
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation. CoRR abs/1908.04351 (2019) - [i9]Hideaki Hayashi, Seiichi Uchida:
SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model. CoRR abs/1911.06028 (2019) - 2018
- [j30]Liuan Wang, Seiichi Uchida, Anna Zhu, Jun Sun:
Human Reading Knowledge Inspired Text Line Extraction. Cogn. Comput. 10(1): 84-93 (2018) - [c128]Hideaki Hayashi, Seiichi Uchida:
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction. ACCV (2) 2018: 414-430 - [c127]Frédéric Rayar, Masanori Goto, Seiichi Uchida:
CNN Training with Graph-Based Sample Preselection: Application to Handwritten Character Recognition. DAS 2018: 19-24 - [c126]Liuan Wang, Jun Sun, Seiichi Uchida:
Text Line Extraction Based on Integrated K-Shortest Paths Optimization. DAS 2018: 85-90 - [c125]Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida:
Contained Neural Style Transfer for Decorated Logo Generation. DAS 2018: 317-322 - [c124]Shota Harada, Hideaki Hayashi, Seiichi Uchida:
Biosignal Data Augmentation Based on Generative Adversarial Networks. EMBC 2018: 368-371 - [c123]Brian Kenji Iwana, Minoru Mori, Akisato Kimura, Seiichi Uchida:
Introducing Local Distance-Based Features to Temporal Convolutional Neural Networks. ICFHR 2018: 92-97 - [c122]Yuchen Zheng, Brian Kenji Iwana, Seiichi Uchida:
Discovering Class-Wise Trends of Max-Pooling in Subspace. ICFHR 2018: 98-103 - [c121]Shailza Jolly, Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida:
How do Convolutional Neural Networks Learn Design? ICPR 2018: 1085-1090 - [c120]Frédéric Rayar, Seiichi Uchida:
On Fast Sample Preselection for Speeding up Convolutional Neural Network Training. S+SSPR 2018: 65-75 - [c119]Frédéric Rayar, Seiichi Uchida:
An Image-Based Representation for Graph Classification. S+SSPR 2018: 140-149 - [i8]Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida:
Contained Neural Style Transfer for Decorated Logo Generation. CoRR abs/1803.00686 (2018) - [i7]Shailza Jolly, Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida:
How do Convolutional Neural Networks Learn Design? CoRR abs/1808.08402 (2018) - 2017
- [j29]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) - [c118]Kotaro Abe, Brian Kenji Iwana, Viktor Gosta Holmer, Seiichi Uchida:
Font Creation Using Class Discriminative Deep Convolutional Generative Adversarial Networks. ACPR 2017: 232-237 - [c117]Gantugs Atarsaikhan, Brian Kenji Iwana, Atsushi Narusawa, Keiji Yanai, Seiichi Uchida:
Neural Font Style Transfer. WML@ICDAR 2017: 51-56 - [c116]Brian Kenji Iwana, Letao Zhou, Kumiko Tanaka-Ishii, Seiichi Uchida:
Component Awareness in Convolutional Neural Networks. ICDAR 2017: 394-399 - [c115]Toshiki Nakamura, Anna Zhu, Keiji Yanai, Seiichi Uchida:
Scene Text Eraser. ICDAR 2017: 832-837 - [c114]Shouta Ide, Seiichi Uchida:
How Does a CNN Manage Different Printing Types? ICDAR 2017: 1004-1009 - [c113]Anna Zhu, Seiichi Uchida:
Scene Text Relocation with Guidance. ICDAR 2017: 1289-1294 - [c112]Shigeru Takano, Maiya Hori, Takayuki Goto, Seiichi Uchida, Ryo Kurazume, Rin-Ichiro Taniguchi:
Deep Learning-based Prediction Method for People Flows and Their Anomalies. ICPRAM 2017: 676-683 - [c111]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 - [p2]Koichi Kise, Shinichiro Omachi, Seiichi Uchida, Masakazu Iwamura, Masahiko Inami, Kai Kunze:
Reading-Life Log as a New Paradigm of Utilizing Character and Document Media. Human-Harmonized Information Technology (2) 2017: 197-233 - [i6]Tomo Miyazaki, Tatsunori Tsuchiya, Yoshihiro Sugaya, Shinichiro Omachi, Masakazu Iwamura, Seiichi Uchida, Koichi Kise:
Automatic Generation of Typographic Font from a Small Font Subset. CoRR abs/1701.05703 (2017) - [i5]Toshiki Nakamura, Anna Zhu, Keiji Yanai, Seiichi Uchida:
Scene Text Eraser. CoRR abs/1705.02772 (2017) - [i4]Frédéric Rayar, Masanori Goto, Seiichi Uchida:
CNN training with graph-based sample preselection: application to handwritten character recognition. CoRR abs/1712.02122 (2017) - [i3]Brian Kenji Iwana, Seiichi Uchida:
Dynamic Weight Alignment for Convolutional Neural Networks. CoRR abs/1712.06530 (2017) - 2016
- [j28]Jiamin Xu, Palaiahnakote Shivakumara, Tong Lu, Chew Lim Tan, Seiichi Uchida:
A new method for multi-oriented graphics-scene-3D text classification in video. Pattern Recognit. 49: 19-42 (2016) - [j27]Anna Zhu, Renwu Gao, Seiichi Uchida:
Could scene context be beneficial for scene text detection? Pattern Recognit. 58: 204-215 (2016) - [c110]Liuan Wang, Seiichi Uchida, Wei Fan, Jun Sun:
Globally Optimal Text Line Extraction Based on K-Shortest Paths Algorithm. DAS 2016: 335-339 - [c109]Brian Kenji Iwana, Volkmar Frinken, Seiichi Uchida:
A Robust Dissimilarity-Based Neural Network for Temporal Pattern Recognition. ICFHR 2016: 265-270 - [c108]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 - [c107]Seiichi Uchida, Yuto Shinahara:
What does scene text tell us? ICPR 2016: 4047-4052 - [c106]Markus Goldstein, Seiichi Uchida:
A Comparative Study on Outlier Removal from a Large-scale Dataset using Unsupervised Anomaly Detection. ICPRAM 2016: 263-269 - [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
- [j26]Koichi Kise, Shinichiro Omachi, Seiichi Uchida, Masakazu Iwamura, Marcus Liwicki:
Data Embedding into Characters. IEICE Trans. Inf. Syst. 98-D(1): 10-20 (2015) - [j25]Hiroaki Takebe, Yusuke Uehara, Seiichi Uchida:
Efficient Anchor Graph Hashing with Data-Dependent Anchor Selection. IEICE Trans. Inf. Syst. 98-D(11): 2030-2033 (2015) - [j24]Faisal Shafait, Dimosthenis Karatzas, Seiichi Uchida, Masakazu Iwamura:
Preface. Int. J. Document Anal. Recognit. 18(2): 109-110 (2015) - [c105]Andreas Fischer, Seiichi Uchida, Volkmar Frinken, Kaspar Riesen, Horst Bunke:
Improving Hausdorff Edit Distance Using Structural Node Context. GbRPR 2015: 148-157 - [c104]Donato Barbuzzi, Giuseppe Pirlo, Seiichi Uchida, Volkmar Frinken, Donato Impedovo:
Similarity-based regularization for semi-supervised learning for handwritten digit recognition. ICDAR 2015: 101-105 - [c103]Masanori Goto, Ryosuke Ishida, Seiichi Uchida:
Preselection of support vector candidates by relative neighborhood graph for large-scale character recognition. ICDAR 2015: 306-310 - [c102]Seiichi Uchida, Yuji Egashira, Kota Sato:
Exploring the world of fonts for discovering the most standard fonts and the missing fonts. ICDAR 2015: 441-445 - [c101]Ryosuke Kakisako, Seiichi Uchida, Volkmar Frinken:
Learning non-Markovian constraints for handwriting recognition. ICDAR 2015: 446-450 - [c100]Renwu Gao, Shoma Eguchi, Seiichi Uchida:
True color distributions of scene text and background. ICDAR 2015: 506-510 - [c99]Brian Kenji Iwana, Seiichi Uchida, Kaspar Riesen, Volkmar Frinken:
Tackling temporal pattern recognition by vector space embedding. ICDAR 2015: 816-820 - [c98]Volkmar Frinken, Seiichi Uchida:
Deep BLSTM neural networks for unconstrained continuous handwritten text recognition. ICDAR 2015: 911-915 - [c97]Dimosthenis Karatzas, Lluis Gomez-Bigorda, Anguelos Nicolaou, Suman K. Ghosh, Andrew D. Bagdanov, Masakazu Iwamura, Jiri Matas, Lukás Neumann, Vijay Ramaseshan Chandrasekhar, Shijian Lu, Faisal Shafait, Seiichi Uchida, Ernest Valveny:
ICDAR 2015 competition on Robust Reading. ICDAR 2015: 1156-1160 - 2014
- [j23]Wenjie Cai, Seiichi Uchida, Hiroaki Sakoe:
Comparative performance analysis of stroke correspondence search methods for stroke-order free online multi-stroke character recognition. Frontiers Comput. Sci. 8(5): 773-784 (2014) - [j22]R. Huang, K. H. Rhee, Seiichi Uchida:
A parallel image encryption method based on compressive sensing. Multim. Tools Appl. 72(1): 71-93 (2014) - [j21]Minoru Mori, Seiichi Uchida, Hitoshi Sakano:
Global feature for online character recognition. Pattern Recognit. Lett. 35: 142-148 (2014) - [j20]Megumi Chikano, Koichi Kise, Masakazu Iwamura, Seiichi Uchida, Shinichiro Omachi:
Recovery and localization of handwritings by a camera-pen based on tracking and document image retrieval. Pattern Recognit. Lett. 35: 214-224 (2014) - [j19]Marcus Liwicki, Seiichi Uchida, Akira Yoshida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
More than ink - Realization of a data-embedding pen. Pattern Recognit. Lett. 35: 246-255 (2014) - [c96]Volkmar Frinken, Ryosuke Kakisako, Seiichi Uchida:
A Novel HMM Decoding Algorithm Permitting Long-Term Dependencies and Its Application to Handwritten Word Recognition. ICFHR 2014: 128-133 - [c95]Ryota Ogata, Minoru Mori, Volkmar Frinken, Seiichi Uchida:
Constrained AdaBoost for Totally-Ordered Global Features. ICFHR 2014: 393-398 - [c94]Muhammad Imran Malik, Marcus Liwicki, Andreas Dengel, Seiichi Uchida, Volkmar Frinken:
Automatic Signature Stability Analysis and Verification Using Local Features. ICFHR 2014: 621-626 - [c93]Kohei Inai, Marten Palsson, Volkmar Frinken, Yaokai Feng, Seiichi Uchida:
Selective Concealment of Characters for Privacy Protection. ICPR 2014: 333-338 - [c92]Volkmar Frinken, Yutaro Iwakiri, Ryosuke Ishida, Kensho Fujisaki, Seiichi Uchida:
Improving Point of View Scene Recognition by Considering Textual Data. ICPR 2014: 2966-2971 - [c91]Markus Weber, Marcus Liwicki, Didier Stricker, Christopher Schoelzel, Seiichi Uchida:
LSTM-Based Early Recognition of Motion Patterns. ICPR 2014: 3552-3557 - [c90]Volkmar Frinken, Nilanjana Bhattacharya, Seiichi Uchida, Umapada Pal:
Improved BLSTM Neural Networks for Recognition of On-Line Bangla Complex Words. S+SSPR 2014: 404-413 - [p1]Seiichi Uchida:
Text Localization and Recognition in Images and Video. Handbook of Document Image Processing and Recognition 2014: 843-883 - 2013
- [j18]Kai Kunze, Masakazu Iwamura, Koichi Kise, Seiichi Uchida, Shinichiro Omachi:
Activity Recognition for the Mind: Toward a Cognitive "Quantified Self". Computer 46(10): 105-108 (2013) - [j17]Song Wang, Seiichi Uchida, Marcus Liwicki, Yaokai Feng:
Part-based methods for handwritten digit recognition. Frontiers Comput. Sci. 7(4): 514-525 (2013) - [j16]Soma Shiraishi, Yaokai Feng, Seiichi Uchida:
Skew Estimation by Parts. IEICE Trans. Inf. Syst. 96-D(7): 1503-1512 (2013) - [j15]Rong Huang, Palaiahnakote Shivakumara, Yaokai Feng, Seiichi Uchida:
Scene Character Detection and Recognition with Cooperative Multiple-Hypothesis Framework. IEICE Trans. Inf. Syst. 96-D(10): 2235-2244 (2013) - [c89]Renwu Gao, Faisal Shafait, Seiichi Uchida, Yaokai Feng:
A Hierarchical Visual Saliency Model for Character Detection in Natural Scenes. CBDAR 2013: 18-29 - [c88]Chihiro Nakamoto, Rong Huang, Sota Koizumi, Ryosuke Ishida, Yaokai Feng, Seiichi Uchida:
Font Distribution Observation by Network-Based Analysis. CBDAR 2013: 83-97 - [c87]Kensho Fujisaki, Ayumi Hamano, Kenta Aoki, Yaokai Feng, Seiichi Uchida, Masahiko Araseki, Yuki Saito, Toshiharu Suzuki:
Detection and Tracking Protein Molecules in Fluorescence Microscopic Video. CANDAR 2013: 270-274 - [c86]Ayumi Hamano, Kensho Fujisaki, Osamu Shiku, Seiichi Uchida:
Stable Marriage Algorithm for Tracking Intracellular Objects. CANDAR 2013: 305-307 - [c85]Masanori Goto, Ryosuke Ishida, Yaokai Feng, Seiichi Uchida:
Analyzing the Distribution of a Large-Scale Character Pattern Set Using Relative Neighborhood Graph. ICDAR 2013: 3-7 - [c84]Takashi Kimura, Rong Huang, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
The Reading-Life Log - Technologies to Recognize Texts That We Read. ICDAR 2013: 91-95 - [c83]Song Wang, Seiichi Uchida, Marcus Liwicki:
Part-Based Recognition of Arbitrary Fonts. ICDAR 2013: 170-174 - [c82]Rong Huang, Palaiahnakote Shivakumara, Seiichi Uchida:
Scene Character Detection by an Edge-Ray Filter. ICDAR 2013: 462-466 - [c81]Yugo Terada, Rong Huang, Yaokai Feng, Seiichi Uchida:
On the Possibility of Structure Learning-Based Scene Character Detector. ICDAR 2013: 472-476 - [c80]Dimosthenis Karatzas, Faisal Shafait, Seiichi Uchida, Masakazu Iwamura, Lluis Gomez i Bigorda, Sergi Robles Mestre, Joan Mas, David Fernández Mota, Jon Almazán, Lluís-Pere de las Heras:
ICDAR 2013 Robust Reading Competition. ICDAR 2013: 1484-1493 - 2012
- [j14]Hirotaka Matsuo, Yudai Furusawa, Masashi Imanishi, Seiichi Uchida, Kenshi Hayashi:
Optical Odor Imaging by Fluorescence Probes. J. Robotics Mechatronics 24(1): 47-54 (2012) - [c79]Soma Shiraishi, Yaokai Feng, Seiichi Uchida:
A Part-Based Skew Estimation Method. Document Analysis Systems 2012: 185-189 - [c78]Minoru Mori, Seiichi Uchida, Hitoshi Sakano:
How Important is Global Structure for Characters? Document Analysis Systems 2012: 255-260 - [c77]Wang Song, Seiichi Uchida, Marcus Liwicki:
Toward Part-Based Document Image Decoding. Document Analysis Systems 2012: 266-270 - [c76]Asif Shahab, Faisal Shafait, Andreas Dengel, Seiichi Uchida:
How Salient is Scene Text? Document Analysis Systems 2012: 317-321 - [c75]Seiichi Uchida, Satoshi Hokahori, Yaokai Feng:
Analytical Dynamic Programming Matching. ECCV Workshops (1) 2012: 92-101 - [c74]Yutaro Iwakiri, Soma Shiraishi, Yaokai Feng, Seiichi Uchida:
On the Possibility of Instance-Based Stroke Recovery. ICFHR 2012: 29-34 - [c73]Minoru Mori, Seiichi Uchida, Hitoshi Sakano:
Dynamic Programming Matching with Global Features for Online Character Recognition. ICFHR 2012: 348-353 - [c72]Seiichi Uchida, Ryosuke Ishida, Akira Yoshida, Wenjie Cai, Yaokai Feng:
Character Image Patterns as Big Data. ICFHR 2012: 479-484 - [c71]Song Wang, Seiichi Uchida, Marcus Liwicki:
Part-based method on handwritten texts. ICPR 2012: 339-342 - [c70]Rong Huang, Shinpei Oba, Palaiahnakote Shivakumara, Seiichi Uchida:
Scene character detection and recognition based on multiple hypotheses framework. ICPR 2012: 717-720 - [c69]Seiichi Uchida, Masahiro Fukutomi, Koichi Ogawara, Yaokai Feng:
Non-Markovian dynamic time warping. ICPR 2012: 2294-2297 - [e1]Michael Blumenstein, Umapada Pal, Seiichi Uchida:
10th IAPR International Workshop on Document Analysis Systems, DAS 2012, Gold Coast, Queenslands, Australia, March 27-29, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-0868-7 [contents] - 2011
- [c68]Seiichi Uchida, Toru Sasaki, Yaokai Feng:
A Generative Model for Handwritings Based on Enhanced Feature Desynchronization. ICDAR 2011: 589-593 - [c67]Wang Song, Seiichi Uchida, Marcus Liwicki:
Look Inside the World of Parts of Handwritten Characters. ICDAR 2011: 784-788 - [c66]Wang Song, Seiichi Uchida, Marcus Liwicki:
Comparative Study of Part-Based Handwritten Character Recognition Methods. ICDAR 2011: 814-818 - [c65]Seiichi Uchida, Yuki Shigeyoshi, Yasuhiro Kunishige, Yaokai Feng:
A Keypoint-Based Approach toward Scenery Character Detection. ICDAR 2011: 819-823 - [c64]Yasuhiro Kunishige, Yaokai Feng, Seiichi Uchida:
Scenery Character Detection with Environmental Context. ICDAR 2011: 1049-1053 - [c63]Marcus Liwicki, Akira Yoshida, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
Reliable Online Stroke Recovery from Offline Data with the Data-Embedding Pen. ICDAR 2011: 1384-1388 - [c62]Soma Shiraishi, Yaokai Feng, Seiichi Uchida:
A New Approach for Instance-Based Skew Estimation. KES (4) 2011: 195-203 - [c61]Akira Yoshida, Marcus Liwicki, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
Handwriting on Paper as a Cybermedium. KES (4) 2011: 204-211 - [c60]Seiichi Uchida, Wenjie Cai, Akira Yoshida, Yaokai Feng:
Watching pattern distribution via massive character recognition. MLSP 2011: 1-6 - [c59]Wenjie Cai, Yaokai Feng, Seiichi Uchida:
Massive character recognition with a large ground-truthed database. SAC 2011: 240-244 - 2010
- [j13]Akio Fujiyoshi, Masakazu Suzuki, Seiichi Uchida:
Grammatical Verification for Mathematical Formula Recognition Based on Context-Free Tree Grammar. Math. Comput. Sci. 3(3): 279-298 (2010) - [c58]Seiichi Uchida, Ikko Fujimura, Hiroki Kawano, Yaokai Feng:
Analytical Dynamic Programming Tracker. ACCV (1) 2010: 296-309 - [c57]Marcus Liwicki, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
Data-embedding pen: augmenting ink strokes with meta-information. Document Analysis Systems 2010: 43-52 - [c56]Koichi Kise, Megumi Chikano, Kazumasa Iwata, Masakazu Iwamura, Seiichi Uchida, Shinichiro Omachi:
Expansion of queries and databases for improving the retrieval accuracy of document portions: an application to a camera-pen system. Document Analysis Systems 2010: 309-316 - [c55]Marcus Liwicki, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
Embedding Meta-Information in Handwriting -- Reed-Solomon for Reliable Error Correction. ICFHR 2010: 51-56 - [c54]Kazumasa Iwata, Koichi Kise, Masakazu Iwamura, Seiichi Uchida, Shinichiro Omachi:
Tracking and Retrieval of Pen Tip Positions for an Intelligent Camera Pen. ICFHR 2010: 277-282 - [c53]Seiichi Uchida, Marcus Liwicki:
Part-Based Recognition of Handwritten Characters. ICFHR 2010: 545-550 - [c52]Toru Wakahara, Seiichi Uchida:
Hierarchical Decomposition of Handwriting Deformation Vector Field for Improving Recognition Accuracy. ICPR 2010: 1860-1863 - [c51]Seiichi Uchida, Marcus Liwicki:
Analysis of Local Features for Handwritten Character Recognition. ICPR 2010: 1945-1948 - [c50]Wenjie Cai, Seiichi Uchida, Hiroaki Sakoe:
Toward Forensics by Stroke Order Variation - Performance Evaluation of Stroke Correspondence Methods. ICWF 2010: 43-55 - [c49]Yaokai Feng, Seiichi Uchida:
How to Design Kansei Retrieval Systems? WAIM 2010: 405-416
2000 – 2009
- 2009
- [j12]Walaa Aly, Seiichi Uchida, Masakazu Suzuki:
Automatic Classification of Spatial Relationships among Mathematical Symbols Using Geometric Features. IEICE Trans. Inf. Syst. 92-D(11): 2235-2243 (2009) - [c48]Masakazu Iwamura, Ryo Niwa, Akira Horimatsu, Koichi Kise, Seiichi Uchida, Shinichiro Omachi:
Layout-free dewarping of planar document images. DRR 2009: 72470X - [c47]Seiichi Uchida, Ryoji Hattori, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
Conspicuous Character Patterns. ICDAR 2009: 16-20 - [c46]Yoshinori Katayama, Seiichi Uchida, Hiroaki Sakoe:
Stochastic Model of Stroke Order Variation. ICDAR 2009: 803-807 - [c45]Toru Wakahara, Seiichi Uchida:
Hierarchical Decomposition of Handwriting Deformation Vector Field Using 2D Warping and Global/Local Affine Transformation. ICDAR 2009: 1141-1145 - [c44]Kazumasa Iwata, Koichi Kise, Tomohiro Nakai, Masakazu Iwamura, Seiichi Uchida, Shinichiro Omachi:
Capturing Digital Ink as Retrieving Fragments of Document Images. ICDAR 2009: 1236-1240 - [c43]Walaa Aly, Seiichi Uchida, Akio Fujiyoshi, Masakazu Suzuki:
Statistical Classification of Spatial Relationships among Mathematical Symbols. ICDAR 2009: 1350-1354 - [c42]Akio Fujiyoshi, Masakazu Suzuki, Seiichi Uchida:
Syntactic Detection and Correction of Misrecognitions in Mathematical OCR. ICDAR 2009: 1360-1364 - 2008
- [j11]Akihiro Mori, Seiichi Uchida:
Fast Image Mosaicing Based on Histograms. IEICE Trans. Inf. Syst. 91-D(11): 2701-2708 (2008) - [j10]Walaa Aly, Seiichi Uchida, Masakazu Suzuki:
Identifying Subscripts and Superscripts in Mathematical Documents. Math. Comput. Sci. 2(2): 195-209 (2008) - [j9]Seiichi Uchida, Hiromitsu Miyazaki, Hiroaki Sakoe:
Mosaicing-by-recognition for video-based text recognition. Pattern Recognit. 41(4): 1230-1240 (2008) - [j8]Christopher Malon, Seiichi Uchida, Masakazu Suzuki:
Mathematical symbol recognition with support vector machines. Pattern Recognit. Lett. 29(9): 1326-1332 (2008) - [c41]Akio Fujiyoshi, Masakazu Suzuki, Seiichi Uchida:
Verification of Mathematical Formulae Based on a Combination of Context-Free Grammar and Tree Grammar. AISC/MKM/Calculemus 2008: 415-429 - [c40]Seiichi Uchida, Megumi Sakai, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
Skew Estimation by Instances. Document Analysis Systems 2008: 201-208 - [c39]Akira Horimatsu, Ryo Niwa, Masakazu Iwamura, Koichi Kise, Seiichi Uchida, Shinichiro Omachi:
Affine Invariant Recognition of Characters by Progressive Pruning. Document Analysis Systems 2008: 237-244 - [c38]Walaa Aly, Seiichi Uchida, Masakazu Suzuki:
A Large-Scale Analysis of Mathematical Expressions for an Accurate Understanding of Their Structure. Document Analysis Systems 2008: 549-556 - [c37]Yoshinori Katayama, Seiichi Uchida, Hiroaki Sakoe:
A new HMM for on-line character recognition using pen-direction and pen-coordinate features. ICPR 2008: 1-4 - [c36]Seiichi Uchida, Kazuma Amamoto:
Early recognition of sequential patterns by classifier combination. ICPR 2008: 1-4 - [c35]Yumi Iwashita, Ryo Kurazume, Kenji Hara, Seiichi Uchida, Ken'ichi Morooka, Tsutomu Hasegawa:
Fast 3D reconstruction of human shape and motion tracking by parallel fast level set method. ICRA 2008: 980-986 - [c34]Ken'ichi Morooka, Xian Chen, Ryo Kurazume, Seiichi Uchida, Kenji Hara, Yumi Iwashita, Makoto Hashizume:
Real-Time Nonlinear FEM with Neural Network for Simulating Soft Organ Model Deformation. MICCAI (2) 2008: 742-749 - 2007
- [j7]Sergey Ablameyko, Seiichi Uchida:
Recognition of Engineering Drawing Entities: Review of Approaches. Int. J. Image Graph. 7(4): 709-733 (2007) - [c33]Seiichi Uchida, Akihiro Mori, Ryo Kurazume, Rin-Ichiro Taniguchi, Tsutomu Hasegawa:
Logical DP Matching for Detecting Similar Subsequence. ACCV (1) 2007: 628-637 - [c32]Roman Bertolami, Seiichi Uchida, Matthias Zimmermann, Horst Bunke:
Non-Uniform Slant Correction for Handwritten Text Line Recognition. ICDAR 2007: 18-22 - [c31]Seiichi Uchida, Megumi Sakai, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
Extraction of Embedded Class Information from Universal Character Pattern. ICDAR 2007: 437-441 - [c30]D. Baba, Seiichi Uchida, Hiroaki Sakoe:
Predictive DP Matching for On-Line Character Recognition. ICDAR 2007: 674-678 - [c29]V. Bucha, Sergey Ablameyko, Seiichi Uchida:
Image Pixel Force Fields and their Application for Color Map Vectorisation. ICDAR 2007: 1228-1242 - 2006
- [c28]Seiichi Toyota, Seiichi Uchida, Masakazu Suzuki:
Structural Analysis of Mathematical Formulae with Verification Based on Formula Description Grammar. Document Analysis Systems 2006: 153-163 - [c27]Alexandr Nedzved, Sergey Ablameyko, Seiichi Uchida:
Gray-scale thinning by using a pseudo-distance map. ICPR (2) 2006: 239-242 - [c26]Akihiro Mori, Seiichi Uchida, Ryo Kurazume, Rin-Ichiro Taniguchi, Tsutomu Hasegawa, Hiroaki Sakoe:
Early Recognition and Prediction of Gestures. ICPR (3) 2006: 560-563 - [c25]V. Bucha, Seiichi Uchida, Sergey Ablameyko:
Interactive Road Extraction with Pixel Force Fields. ICPR (4) 2006: 829-832 - [c24]Wenjie Cai, Seiichi Uchida, Hiroaki Sakoe:
An Efficient Radical-Based Algorithm for Stroke-Order-Free Online Kanji Character Recognition. ICPR (2) 2006: 986-989 - [c23]Shinichiro Omachi, Masakazu Iwamura, Seiichi Uchida, Koichi Kise:
Affine Invariant Information Embedment for Accurate Camera-Based Character Recognition. ICPR (2) 2006: 1098-1101 - [c22]Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
OCR Fonts Revisited for Camera-Based Character Recognition. ICPR (2) 2006: 1134-1137 - [c21]Ryo Kurazume, Hiroaki Omasa, Seiichi Uchida, Rin-Ichiro Taniguchi, Tsutomu Hasegawa:
Embodied Proactive Human Interface "PICO-2". ICPR (2) 2006: 1233-1237 - [c20]Yutaka Araki, Daisaku Arita, Rin-Ichiro Taniguchi, Seiichi Uchida, Ryo Kurazume, Tsutomu Hasegawa:
Construction of Symbolic Representation from Human Motion Information. KES (2) 2006: 212-219 - [c19]Christopher Malon, Seiichi Uchida, Masakazu Suzuki:
Support Vector Machines for Mathematical Symbol Recognition. SSPR/SPR 2006: 136-144 - 2005
- [j6]Seiichi Uchida, Hiroaki Sakoe:
A Survey of Elastic Matching Techniques for Handwritten Character Recognition. IEICE Trans. Inf. Syst. 88-D(8): 1781-1790 (2005) - [j5]Seiichi Uchida, Akihiro Nomura, Masakazu Suzuki:
Quantitative analysis of mathematical documents. Int. J. Document Anal. Recognit. 7(4): 211-218 (2005) - [j4]Seiichi Uchida, Hiroaki Sakoe:
Category-dependent elastic matching based on a linear combination of eigen-deformations. Syst. Comput. Jpn. 36(5): 13-22 (2005) - [c18]Daiki Okumur, Seiichi Uchida, Hiroaki Sakoe:
An HMM Implementation for On-line Handwriting Recognition - Based on Pen-Coordinate Feature and Pen-Direction Feature. ICDAR 2005: 26-30 - [c17]Hiroto Mitoma, Seiichi Uchida, Hiroaki Sakoe:
Online Character Recognition Based on Elastic Matching and Quadratic Discrimination. ICDAR 2005: 36-40 - [c16]Hironori Ezaki, Seiichi Uchida, Akira Asano, Hiroaki Sakoe:
Dewarping of document image by global optimization. ICDAR 2005: 302-306 - [c15]Masakazu Suzuki, Seiichi Uchida, Akihiro Nomura:
A Ground-Truthed Mathematical Character and Symbol Image Database. ICDAR 2005: 675-679 - [c14]Hiromitsu Miyazaki, Seiichi Uchida, Hiroaki Sakoe:
Mosaicing-by-recognition: a technique for video-based text recognition. ICDAR 2005: 904-908 - 2004
- [j3]Eiji Taira, Seiichi Uchida, Hiroaki Sakoe:
Nonuniform Slant Correction for Handwritten Word Recognition. IEICE Trans. Inf. Syst. 87-D(5): 1247-1253 (2004) - [c13]Hiroto Mitoma, Seiichi Uchida, Hiroaki Sakoe:
Online character recognition using eigen-deformations. IWFHR 2004: 3-8 - [c12]Naoki Matsumoto, Seiichi Uchida, Hiroaki Sakoe:
Prototype Setting for Elastic Matching-Based Image Pattern Recognition. ICPR (1) 2004: 224-227 - 2003
- [j2]Seiichi Uchida, Hiroaki Sakoe:
Eigen-deformations for elastic matching based handwritten character recognition. Pattern Recognit. 36(9): 2031-2040 (2003) - [c11]Masakazu Suzuki, Fumikazu Tamari, Ryoji Fukuda, Seiichi Uchida, Toshihiro Kanahori:
INFTY: an integrated OCR system for mathematical documents. ACM Symposium on Document Engineering 2003: 95-104 - [c10]Akihiro Nomura, Kazuyuki Michishita, Seiichi Uchida, Masakazu Suzuki:
Detection and Segmentation of Touching Characters in Mathematical Expression. ICDAR 2003: 126-130 - [c9]Seiichi Uchida, Hiroaki Sakoe:
Handwritten character recognition using elastic matching based on a class-dependent deformation model. ICDAR 2003: 163-167 - 2002
- [c8]Seiichi Uchida, Hiroaki Sakoe:
A handwritten character recognition method based on unconstrained elastic matching and eigen-deformations. IWFHR 2002: 72-77 - [c7]Seiichi Uchida, Mohammad Asad Ronee, Hiroaki Sakoe:
Using Eigen-Deformations in Handwritten Character Recognition. ICPR (1) 2002: 572-575 - 2001
- [j1]Seiichi Uchida, Hiroaki Sakoe:
Piecewise linear two-dimensional warping. Syst. Comput. Jpn. 32(12): 1-9 (2001) - [c6]Mohammad Asad Ronee, Seiichi Uchida, Hiroaki Sakoe:
Handwritten Character Recognition Using Piecewise Linear Two-Dimensional Warping. ICDAR 2001: 39-43 - [c5]Rykhard Bogush, S. Maltsev, Sergey Ablameyko, Seiichi Uchida, Sei-ichiro Kamata:
An Efficient Correlation Computation Method for Binary Images Based on Matrix Factorisation. ICDAR 2001: 312-316 - [c4]Seiichi Uchida, Eiji Taira, Hiroaki Sakoe:
Nonuniform Slant Correction Using Dynamic Programming. ICDAR 2001: 434-438 - 2000
- [c3]Seiichi Uchida, Hiroaki Sakoe:
Piecewise Linear Two-Dimensional Warping. ICPR 2000: 3538-3541
1990 – 1999
- 1999
- [c2]Seiichi Uchida, Hiroaki Sakoe:
Handwritten Character Recognition using Monotonic and Continuous Two-dimensional Warping. ICDAR 1999: 499-502 - 1998
- [c1]Seiichi Uchida, Hiroaki Sakoe:
A monotonic and continuous two-dimensional warping based on dynamic programming. ICPR 1998: 521-524
Coauthor Index
[c207] [i76] [j52] [j51] [j50] [c189] [i63] [i62] [i56] [j46] [j43] [j42] [c175] [c172] [c170] [c169] [c168] [i43] [i38] [i36] [i35] [i34] [j39] [j38] [j37] [j36] [c161] [c160] [c158] [c157] [c154] [c152] [i31] [i30] [i27] [i26] [i23] [i21] [i19] [j31] [c144] [c143] [c141] [c140] [c139] [c138] [c133] [c132] [i16] [i13] [i10] [c125] [c123] [c122] [c121] [i8] [i7] [j29] [c118] [c117] [c116] [c111] [i3] [c109] [c108] [i2] [i1] [c99]
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