| 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 | 74 | 2015 |
| Spatio-temporal person retrieval via natural language queries M Yamaguchi, K Saito, Y Ushiku, T Harada Proceedings of the IEEE international conference on computer vision, 1453-1462, 2017 | 69 | 2017 |
| Adaflow: Domain-adaptive density estimator with application to anomaly detection and unpaired cross-domain translation M Yamaguchi, Y Koizumi, N Harada ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 39 | 2019 |
| Batch uniformization for minimizing maximum anomaly score of DNN-based anomaly detection in sounds Y Koizumi, S Saito, M Yamaguchi, S Murata, N Harada 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 26 | 2019 |
| Melody generation for pop music via word representation of musical properties A Shin, L Crestel, H Kato, K Saito, K Ohnishi, M Yamaguchi, M Nakawaki, ... arXiv preprint arXiv:1710.11549, 2017 | 20 | 2017 |
| Dense image representation with spatial pyramid vlad coding of cnn for locally robust captioning A Shin, M Yamaguchi, K Ohnishi, T Harada arXiv preprint arXiv:1603.09046, 2016 | 10 | 2016 |
| Subspace structure-aware spectral clustering for robust subspace clustering M Yamaguchi, G Irie, T Kawanishi, K Kashino Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 7 | 2019 |
| Anomaly detection apparatus, probability distribution learning apparatus, autoencoder learning apparatus, data transformation apparatus, and program M Yamaguchi, Y Koizumi, N Harada US Patent App. 17/266,240, 2021 | 4 | 2021 |
| Clustering device, method and program M Yamaguchi, G Irie, K Hiramatsu, K Kashino US Patent 11,520,837, 2022 | | 2022 |
| Delving Deep into Least Square Regression Model for Subspace Clustering. M Yamaguchi, G Irie, T Kawanishi, K Kashino BMVC, 118, 2019 | | 2019 |
Tatsuya HaradaThe University of Tokyo確認したメール アドレス: mi.t.u-tokyo.ac.jp
