| Common subspace for model and similarity: Phrase learning for caption generation from images Y Ushiku, M Yamaguchi, Y Mukuta, T Harada Proceedings of the IEEE international conference on computer vision, 2668-2676, 2015 | 41 | 2015 |
| Hyperbolic neural networks++ R Shimizu, Y Mukuta, T Harada arXiv preprint arXiv:2006.08210, 2020 | 29 | 2020 |
| Multi-stage pathological image classification using semantic segmentation S Takahama, Y Kurose, Y Mukuta, H Abe, M Fukayama, A Yoshizawa, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 23 | 2019 |
| Kernel approximation via empirical orthogonal decomposition for unsupervised feature learning Y Mukuta, T Harada Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 14 | 2016 |
| Modeling the variability of active galactic nuclei by an infinite mixture of Ornstein–Uhlenbeck (OU) processes T Takata, Y Mukuta, Y Mizumoto The Astrophysical Journal 869 (2), 178, 2018 | 13 | 2018 |
| Finding and generating a missing part for story completion Y Mori, H Yamane, Y Mukuta, T Harada Proceedings of the The 4th Joint SIGHUM Workshop on Computational …, 2020 | 11 | 2020 |
| Deep modality invariant adversarial network for shared representation learning K Saito, Y Mukuta, Y Ushiku, T Harada Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 11* | 2017 |
| Probabilistic partial canonical correlation analysis Y Mukuta International Conference on Machine Learning, 1449-1457, 2014 | 10 | 2014 |
| Neural star domain as primitive representation Y Kawana, Y Mukuta, T Harada Advances in Neural Information Processing Systems 33, 7875-7886, 2020 | 7 | 2020 |
| Texture-based classification of significant stenosis in CCTA multi-view images of coronary arteries A Tejero-de-Pablos, K Huang, H Yamane, Y Kurose, Y Mukuta, J Iho, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 7 | 2019 |
| MIL at ImageCLEF 2014: Scalable System for Image Annotation. A Kanehira, M Hidaka, Y Mukuta, Y Tsuchiya, T Mano, T Harada CLEF (Working Notes), 372-379, 2014 | 7 | 2014 |
| Scalable generative models for graphs with graph attention mechanism W Kawai, Y Mukuta, T Harada arXiv preprint arXiv:1906.01861, 2019 | 6 | 2019 |
| Mirror reflection invariant HOG descriptors for object detection A Kanezaki, Y Mukuta, T Harada 2014 IEEE International Conference on Image Processing (ICIP), 1594-1598, 2014 | 6 | 2014 |
| Toward a better story end: Collecting human evaluation with reasons Y Mori, H Yamane, Y Mukuta, T Harada Proceedings of the 12th International Conference on Natural Language …, 2019 | 5 | 2019 |
| Rethinking task and metrics of instance segmentation on 3D point clouds K Arase, Y Mukuta, T Harada Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 4 | 2019 |
| Gram: Scalable generative models for graphs with graph attention mechanism W Kawai, Y Mukuta, T Harada arXiv preprint arXiv:1906.01861, 2019 | 4 | 2019 |
| Spherical Image Generation from a Single Image by Considering Scene Symmetry T Hara, Y Mukuta, T Harada Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1513-1521, 2021 | 3 | 2021 |
| Long-term video generation of multiple futures using human poses N Fushishita, A Tejero-de-Pablos, Y Mukuta, T Harada | 3 | 2019 |
| Estimating the causal effect from partially observed time series A Iseki, Y Mukuta, Y Ushiku, T Harada Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3919-3926, 2019 | 2 | 2019 |
| Fully Spiking Variational Autoencoder H Kamata, Y Mukuta, T Harada arXiv preprint arXiv:2110.00375, 2021 | 1 | 2021 |
