| 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 | 24 | 2015 |
| 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 | 12 | 2018 |
| Multi-Stage Pathological Image Classification using Semantic Segmentation S Takahama, Y Kurose, Y Mukuta, H Abe, M Fukayama, A Yoshizawa, ... Proceedings of the IEEE International Conference on Computer Vision, 10702-10711, 2019 | 10 | 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 | 10 | 2016 |
| 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 | 9* | 2017 |
| 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 |
| Probabilistic partial canonical correlation analysis Y Mukuta International Conference on Machine Learning, 1449-1457, 2014 | 7 | 2014 |
| 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 |
| 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 | 3 | 2019 |
| Hyperbolic neural networks++ R Shimizu, Y Mukuta, T Harada arXiv preprint arXiv:2006.08210, 2020 | 2 | 2020 |
| 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, 3919-3926, 2019 | 2 | 2019 |
| Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds K Arase, Y Mukuta, T Harada Proceedings of the IEEE International Conference on Computer Vision …, 2019 | 2 | 2019 |
| GRAM: Scalable Generative Models for Graphs with Graph Attention Mechanism W Kawai, Y Mukuta, T Harada CoRR abs/1906.01861, 2019 | 2 | 2019 |
| 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 | 1 | 2020 |
| Scalable Generative Models for Graphs with Graph Attention Mechanism W Kawai, Y Mukuta, T Harada arXiv preprint arXiv:1906.01861, 2019 | 1 | 2019 |
| Invariant Tensor Feature Coding Y Mukuta, T Harada arXiv preprint arXiv:1906.01857, 2019 | 1 | 2019 |
| Long-term video generation of multiple futures using human poses N Fushishita, A Tejero-de-Pablos, Y Mukuta, T Harada arXiv, arXiv: 1904.07538, 2019 | 1 | 2019 |
| 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 | 1 | 2019 |
| Neural Star Domain as Primitive Representation Y Kawana, Y Mukuta, T Harada arXiv preprint arXiv:2010.11248, 2020 | | 2020 |
| Compact Approximation for Polynomial of Covariance Feature Y Mukuta, T Machida, T Harada arXiv preprint arXiv:1906.01851, 2019 | | 2019 |
