| An empirical survey of data augmentation for time series classification with neural networks BK Iwana, S Uchida Plos one 16 (7), e0254841, 2021 | 578 | 2021 |
| Time series data augmentation for neural networks by time warping with a discriminative teacher BK Iwana, S Uchida 2020 25th International Conference on Pattern Recognition (ICPR), 3558-3565, 2021 | 104 | 2021 |
| Explaining convolutional neural networks using softmax gradient layer-wise relevance propagation BK Iwana, R Kuroki, S Uchida 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019 | 101 | 2019 |
| Judging a Book by its Cover BK Iwana, ST Raza Rizvi, S Ahmed, A Dengel, S Uchida arXiv preprint arXiv:1610.09204, 2016 | 82 | 2016 |
| Complex image processing with less data—Document image binarization by integrating multiple pre-trained U-Net modules S Kang, BK Iwana, S Uchida Pattern Recognition 109, 107577, 2021 | 68 | 2021 |
| DTW-NN: A novel neural network for time series recognition using dynamic alignment between inputs and weights BK Iwana, V Frinken, S Uchida Knowledge-Based Systems 188, 104971, 2020 | 68 | 2020 |
| Time series classification using local distance-based features in multi-modal fusion networks BK Iwana, S Uchida Pattern Recognition 97, 107024, 2020 | 56 | 2020 |
| A further step to perfect accuracy by training CNN with larger data S Uchida, S Ide, BK Iwana, A Zhu 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016 | 54 | 2016 |
| Neural font style transfer G Atarsaikhan, BK Iwana, A Narusawa, K Yanai, S Uchida 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 49 | 2017 |
| Mining the displacement of max-pooling for text recognition Y Zheng, BK Iwana, S Uchida Pattern Recognition 93, 558-569, 2019 | 45 | 2019 |
| Probact: A probabilistic activation function for deep neural networks K Shridhar, J Lee, H Hayashi, P Mehta, BK Iwana, S Kang, S Uchida, ... arXiv preprint arXiv:1905.10761, 2019 | 44 | 2019 |
| Deep dynamic time warping: End-to-end local representation learning for online signature verification X Wu, A Kimura, BK Iwana, S Uchida, K Kashino 2019 International conference on document analysis and recognition (ICDAR …, 2019 | 40 | 2019 |
| Few-shot text style transfer via deep feature similarity A Zhu, X Lu, X Bai, S Uchida, BK Iwana, S Xiong IEEE Transactions on Image Processing 29, 6932-6946, 2020 | 36 | 2020 |
| Learning the micro deformations by max-pooling for offline signature verification Y Zheng, BK Iwana, MI Malik, S Ahmed, W Ohyama, S Uchida Pattern Recognition 118, 108008, 2021 | 30 | 2021 |
| How do convolutional neural networks learn design? S Jolly, BK Iwana, R Kuroki, S Uchida 2018 24th International Conference on Pattern Recognition (ICPR), 1085-1090, 2018 | 26 | 2018 |
| Negative pseudo labeling using class proportion for semantic segmentation in pathology H Tokunaga, BK Iwana, Y Teramoto, A Yoshizawa, R Bise Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 24 | 2020 |
| Contained neural style transfer for decorated logo generation G Atarsaikhan, BK Iwana, S Uchida 2018 13th IAPR international workshop on document analysis systems (DAS …, 2018 | 23 | 2018 |
| Efficient temporal pattern recognition by means of dissimilarity space embedding with discriminative prototypes BK Iwana, V Frinken, K Riesen, S Uchida Pattern Recognition 64, 268-276, 2017 | 22 | 2017 |
| Cascading modular u-nets for document image binarization S Kang, BK Iwana, S Uchida 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 16 | 2019 |
| Modality conversion of handwritten patterns by cross variational autoencoders T Sumi, BK Iwana, H Hayashi, S Uchida 2019 international conference on document analysis and recognition (ICDAR …, 2019 | 15 | 2019 |
Seiichi UchidaKyushu UniversityVerified email at ait.kyushu-u.ac.jp
