| A hybrid approach for salt dome detection in 2D and 3D seismic data: 2015 IEEE International Conference on Image Processing (ICIP) A Amin, M Deriche IEEE, 2015 | 368* | 2015 |
| A quick search method for audio and video signals based on histogram pruning K Kashino, T Kurozumi, H Murase IEEE Transactions on Multimedia 5 (3), 348-357, 2003 | 233 | 2003 |
| Complex NMF: A new sparse representation for acoustic signals H Kameoka, N Ono, K Kashino, S Sagayama 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 211 | 2009 |
| Byol for audio: Self-supervised learning for general-purpose audio representation D Niizumi, D Takeuchi, Y Ohishi, N Harada, K Kashino 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 199 | 2021 |
| Generative adversarial network-based postfilter for statistical parametric speech synthesis T Kaneko, H Kameoka, N Hojo, Y Ijima, K Hiramatsu, K Kashino 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 170 | 2017 |
| Application of the Bayesian probability network to music scene analysis K Kashino, K Nakadai, T Kinoshita, H Tanaka Computational auditory scene analysis, 115-137, 2021 | 151 | 2021 |
| Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks. T Kaneko, H Kameoka, K Hiramatsu, K Kashino Interspeech 2017, 1283-1287, 2017 | 139 | 2017 |
| Organization of hierarchical perceptual sounds K Kashino, K Nakadai, T Kinoshita, H Tanaka Proc. 14th International joint conference on artificial intelligence 1, 158-164, 1995 | 129 | 1995 |
| Generative attribute controller with conditional filtered generative adversarial networks T Kaneko, K Hiramatsu, K Kashino Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 114 | 2017 |
| A sound source identification system for ensemble music based on template adaptation and music stream extraction K Kashino, H Murase Speech Communication 27 (3-4), 337-349, 1999 | 110 | 1999 |
| Time-series active search for quick retrieval of audio and video K Kashino, G Smith, H Murase 1999 IEEE International Conference on Acoustics, Speech, and Signal …, 1999 | 108 | 1999 |
| Quick audio retrieval using active search G Smith, H Murase, K Kashino Proceedings of the 1998 IEEE International Conference on Acoustics, Speech …, 1998 | 91 | 1998 |
| Modular representation of layered neural networks C Watanabe, K Hiramatsu, K Kashino Neural Networks 97, 62-73, 2018 | 77 | 2018 |
| Very quick audio searching: introducing global pruning to the time-series active search A Kimura, K Kashino, T Kurozumi, H Murase 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001 | 76 | 2001 |
| A sound source separation system with the ability of automatic tone modeling K Kashino Proc. ICMC93, 248-255, 1993 | 72 | 1993 |
| Masked spectrogram modeling using masked autoencoders for learning general-purpose audio representation D Niizumi, D Takeuchi, Y Ohishi, N Harada, K Kashino HEAR: Holistic Evaluation of Audio Representations, 1-24, 2022 | 64 | 2022 |
| Contrast-accumulated histogram equalization for image enhancement X Wu, X Liu, K Hiramatsu, K Kashino 2017 IEEE international conference on image processing (ICIP), 3190-3194, 2017 | 63 | 2017 |
| A stochastic model of selective visual attention with a dynamic Bayesian network D Pang, A Kimura, T Takeuchi, J Yamato, K Kashino 2008 IEEE International Conference on Multimedia and Expo, 1073-1076, 2008 | 62 | 2008 |
| BYOL for audio: Exploring pre-trained general-purpose audio representations D Niizumi, D Takeuchi, Y Ohishi, N Harada, K Kashino IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 137-151, 2022 | 60 | 2022 |
| A fast template matching algorithm with adaptive skipping using inner-subtemplates' distances T Kawanishi, T Kurozumi, K Kashino, S Takagi Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 60 | 2004 |
Hiroshi MuraseProfessor of Computer Science, Nagoya UniversityE-mailová adresa ověřena na: is.nagoya-u.ac.jp
