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Kengo Uchida
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2020 – today
- 2024
- [j2]Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji:
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes. Trans. Mach. Learn. Res. 2024 (2024) - [c7]Kazuki Shimada, Kengo Uchida, Yuichiro Koyama, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji, Tatsuya Kawahara:
Zero- and Few-Shot Sound Event Localization and Detection. ICASSP 2024: 636-640 - [i4]Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji:
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes. CoRR abs/2401.00365 (2024) - [i3]Kengo Uchida, Takashi Shibuya, Yuhta Takida, Naoki Murata, Shusuke Takahashi, Yuki Mitsufuji:
MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training. CoRR abs/2406.01867 (2024) - 2023
- [c6]Kei Masunishi, Etsuji Ogawa, Daiki Ono, Fumito Miyazaki, Kengo Uchida, Jumpei Ogawa, Hideaki Murase, Fumitaka Ishibashi, Yasushi Tomizawa:
Wide Dynamic Range of a MEMS Differential Resonant Accelerometer with Asymmetric T-Shaped Electrodes. SENSORS 2023: 1-4 - [c5]Fumito Miyazaki, Daiki Ono, Jumpei Ogawa, Tazuko Tomioka, Kei Masunishi, Kengo Uchida, Hideaki Murase, Etsuji Ogawa, Fumitaka Ishibashi, Yasushi Tomizawa:
Initial Investigation of Physically Tightly-Coupled Single-Chip MEMS IMU for Mutual Compensation of Two Differential Resonant Accelerometers and a Mode-Matched Donut-Mass Gyroscope. SENSORS 2023: 1-4 - [c4]Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam, Daniel Aleksander Krause, Kengo Uchida, Sharath Adavanne, Aapo Hakala, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Tuomas Virtanen, Yuki Mitsufuji:
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. NeurIPS 2023 - [d2]Archontis Politis, Kazuki Shimada, Parthasaarathy Sudarsanam, Aapo Hakala, Shusuke Takahashi, Daniel Aleksander Krause, Naoya Takahashi, Sharath Adavanne, Yuichiro Koyama, Kengo Uchida, Yuki Mitsufuji, Tuomas Virtanen:
STARSS23: Sony-TAu Realistic Spatial Soundscapes 2023. Version 1.0.0. Zenodo, 2023 [all versions] - [d1]Archontis Politis, Kazuki Shimada, Parthasaarathy Sudarsanam, Aapo Hakala, Shusuke Takahashi, Daniel Aleksander Krause, Naoya Takahashi, Sharath Adavanne, Yuichiro Koyama, Kengo Uchida, Yuki Mitsufuji, Tuomas Virtanen:
STARSS23: Sony-TAu Realistic Spatial Soundscapes 2023. Version 1.1.0. Zenodo, 2023 [all versions] - [i2]Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam, Daniel Krause, Kengo Uchida, Sharath Adavanne, Aapo Hakala, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Tuomas Virtanen, Yuki Mitsufuji:
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events. CoRR abs/2306.09126 (2023) - [i1]Kazuki Shimada, Kengo Uchida, Yuichiro Koyama, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji, Tatsuya Kawahara:
Zero- and Few-shot Sound Event Localization and Detection. CoRR abs/2309.09223 (2023) - 2020
- [j1]Kengo Uchida, Isao Yamada:
An ℓ1-penalized adaptive normalized quasi-newton algorithm for sparsity-aware generalized eigen-subspace tracking. J. Frankl. Inst. 357(8): 5033-5057 (2020)
2010 – 2019
- 2019
- [c3]Takahiro Nagata, Kazumichi Tsumura, Kenro Nakamura, Kengo Uchida, Jin Kawakita, Toyohiro Chikyow, Kazuyuki Higashi:
Photoelectroscopic Study of Mn Barrier Layer on SiO2 for Si Wafer Bonding Process. 3DIC 2019: 1-4 - 2018
- [c2]Kengo Uchida, Isao Yamada:
A Nested $\ell_{1}$-penalized Adaptive Normalized Quasi-Newton Algorithm for Sparsity-Aware Generalized Eigen-subspace Extraction. APSIPA 2018: 212-217 - [c1]Kengo Uchida, Isao Yamada:
An ℓ1-Penalization Of Adaptive Normalized Quasi-Newton Algorithm For Sparsity-Aware Generalized Eigenvector Estimation. SSP 2018: 528-532
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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