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2020 – today
- 2022
[j47]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)- [c180]Masaya Ueda, Akisato Kimura, Seiichi Uchida:
Font Shape-to-Impression Translation. DAS 2022: 3-17 - [c179]Yusuke Nagata, Jinki Otao, Daichi Haraguchi, Seiichi Uchida:
TrueType Transformer: Character and Font Style Recognition in Outline Format. DAS 2022: 18-32 - [c178]Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida:
Revealing Reliable Signatures by Learning Top-Rank Pairs. DAS 2022: 323-337 - [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 Barney, 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] - [i50]Yusuke Nagata, Jinki Otao, Daichi Haraguchi, Seiichi Uchida:
TrueType Transformer: Character and Font Style Recognition in Outline Format. CoRR abs/2203.05338 (2022) - [i49]Masaya Ueda, Akisato Kimura, Seiichi Uchida:
Font Shape-to-Impression Translation. CoRR abs/2203.05808 (2022) - [i48]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) - [i47]Xiaotong Ji, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida:
Optimal Rejection Function Meets Character Recognition Tasks. CoRR abs/2203.09151 (2022) - [i46]Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida:
Revealing Reliable Signatures by Learning Top-Rank Pairs. CoRR abs/2203.09927 (2022) - [i45]Seiya Matsuda, Akisato Kimura, Seiichi Uchida:
Font Generation with Missing Impression Labels. CoRR abs/2203.10348 (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]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]