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ORCIDTakashi Shibuya 0001
Person information
- affiliation: Sony Corporation, Tokyo, Japan
- affiliation (former): University of Tokyo, Japan
Other persons with the same name
- Takashi Shibuya — disambiguation page
- Takashi Shibuya 0002 — NEC Corporation
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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)- [c13]Mengjie Zhao, Junya Ono, Zhi Zhong, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Takashi Shibuya, Hiromi Wakaki, Yuki Mitsufuji:
On the Language Encoder of Contrastive Cross-modal Models. ACL (Findings) 2024: 4923-4940 - [c12]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 - [c11]Takashi Shibuya
, Yuhta Takida, Yuki Mitsufuji:
BIGVSAN: Enhancing Gan-Based Neural Vocoders with Slicing Adversarial Network. ICASSP 2024: 10121-10125 - [c10]Hao Shi, Kazuki Shimada, Masato Hirano, Takashi Shibuya, Yuichiro Koyama, Zhi Zhong, Shusuke Takahashi, Tatsuya Kawahara, Yuki Mitsufuji:
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders. ICASSP 2024: 12951-12955 - [c9]Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji:
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer. ICLR 2024 - [i17]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) - [i16]Shiqi Yang, Zhi Zhong, Mengjie Zhao, Shusuke Takahashi, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji:
Visual Echoes: A Simple Unified Transformer for Audio-Visual Generation. CoRR abs/2405.14598 (2024) - [i15]Junyoung Seo, Kazumi Fukuda, Takashi Shibuya, Takuya Narihira, Naoki Murata, Shoukang Hu, Chieh-Hsin Lai, Seungryong Kim, Yuki Mitsufuji:
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping. CoRR abs/2405.17251 (2024) - [i14]Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji:
Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation. CoRR abs/2405.17842 (2024) - [i13]Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, Yuki Mitsufuji:
SoundCTM: Uniting Score-based and Consistency Models for Text-to-Sound Generation. CoRR abs/2405.18503 (2024) - [i12]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) - [i11]Marco Comunità, Zhi Zhong, Akira Takahashi, Shiqi Yang, Mengjie Zhao, Koichi Saito, Yukara Ikemiya, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji:
SpecMaskGIT: Masked Generative Modeling of Audio Spectrograms for Efficient Audio Synthesis and Beyond. CoRR abs/2406.17672 (2024) - [i10]Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji:
Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning. CoRR abs/2410.05116 (2024) - 2023
- [c8]Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren:
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. ACL (demo) 2023: 264-273 - [c7]Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji:
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement. INTERSPEECH 2023: 3824-3828 - [c6]Zhi Zhong, Hao Shi, Masato Hirano, Kazuki Shimada, Kazuya Tateishi, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji:
Extending Audio Masked Autoencoders toward Audio Restoration. WASPAA 2023: 1-5 - [i9]Zhi Zhong, Hao Shi, Masato Hirano, Kazuki Shimada, Kazuya Tateishi, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji:
Extending Audio Masked Autoencoders Toward Audio Restoration. CoRR abs/2305.06701 (2023) - [i8]Hao Shi, Kazuki Shimada, Masato Hirano, Takashi Shibuya, Yuichiro Koyama, Zhi Zhong, Shusuke Takahashi, Tatsuya Kawahara, Yuki Mitsufuji:
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders. CoRR abs/2305.10734 (2023) - [i7]Takashi Shibuya, Yuhta Takida, Yuki Mitsufuji:
BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network. CoRR abs/2309.02836 (2023) - [i6]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) - [i5]Mengjie Zhao, Junya Ono, Zhi Zhong, Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Takashi Shibuya, Hiromi Wakaki, Yuki Mitsufuji:
On the Language Encoder of Contrastive Cross-modal Models. CoRR abs/2310.13267 (2023) - 2022
- [c5]Dong-Ho Lee, Akshen Kadakia, Kangmin Tan, Mahak Agarwal, Xinyu Feng, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren:
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. ACL (1) 2022: 2687-2700 - [c4]Yuhta Takida, Takashi Shibuya, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji:
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization. ICML 2022: 20987-21012 - [i4]Yuhta Takida, Takashi Shibuya, Wei-Hsiang Liao, Chieh-Hsin Lai, Junki Ohmura, Toshimitsu Uesaka, Naoki Murata, Shusuke Takahashi, Toshiyuki Kumakura, Yuki Mitsufuji:
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization. CoRR abs/2205.07547 (2022) - [i3]Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren:
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. CoRR abs/2210.16978 (2022) - [i2]Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji:
A Versatile Diffusion-based Generative Refiner for Speech Enhancement. CoRR abs/2210.17287 (2022) - 2020
- [j1]Takashi Shibuya, Eduard H. Hovy:
Nested Named Entity Recognition via Second-best Sequence Learning and Decoding. Trans. Assoc. Comput. Linguistics 8: 605-620 (2020)
2010 – 2019
- 2019
- [i1]Takashi Shibuya, Eduard H. Hovy:
Nested Named Entity Recognition via Second-best Sequence Learning and Decoding. CoRR abs/1909.02250 (2019) - 2013
- [c3]Takashi Shibuya, Mototsugu Abe, Masayuki Nishiguchi:
Audio fingerprinting robust against reverberation and noise based on quantification of sinusoidality. ICME 2013: 1-6 - 2010
- [c2]Takatsugu Kuriyama, Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi:
Learning Interaction Rules through Compression of Sensori-Motor Causality Space. EpiRob 2010
2000 – 2009
- 2009
- [c1]Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi:
Causality quantification and its applications: structuring and modeling of multivariate time series. KDD 2009: 787-796
Coauthor Index
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