Akio Hayakawa

According to our database, Akio Hayakawa authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis.

Ho Kei Cheng, Masato Ishii, Akio Hayakawa, Takashi Shibuya, Alexander G. Schwing, Yuki Mitsufuji

CoRR, 2024

Difficult for Whom? A Study of Japanese Lexical Complexity.

Adam Nohejl, Akio Hayakawa, Yusuke Ide, Taro Watanabe

CoRR, 2024

Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation.

Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji

CoRR, 2024

Can LLMs Solve Reading Comprehension Tests as Second Language Learners?

Akio Hayakawa, Horacio Saggion

Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024

The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline.

Matthew Shardlow, Fernando Alva-Manchego, Riza Batista-Navarro, Stefan Bott, Saúl Calderón Ramírez, Rémi Cardon, Thomas François, Akio Hayakawa, Andrea Horbach, Anna Hülsing, Yusuke Ide, Joseph Marvin Imperial, Adam Nohejl, Kai North, Laura Occhipinti, Nelson Perez-Rojas, Nishat Raihan, Tharindu Ranasinghe, Martin Solis-Salazar, Sanja Stajner, Marcos Zampieri, Horacio Saggion

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024

2023

Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion.

Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, Takuya Narihira

CoRR, 2023

2022

Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models.

Naoki Matsunaga, Masato Ishii, Akio Hayakawa, Kenji Suzuki, Takuya Narihira

CoRR, 2022

2021

Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives.

Akio Hayakawa, Masato Ishii, Yoshiyuki Kobayashi, Akira Nakamura, Takuya Narihira, Yukio Obuchi, Andrew Shin, Takuya Yashima, Kazuki Yoshiyama

CoRR, 2021

2020

Reference-Based Video Colorization with Spatiotemporal Correspondence.

Naofumi Akimoto, Akio Hayakawa, Andrew Shin, Takuya Narihira

CoRR, 2020

Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling.

Akio Hayakawa, Takuya Narihira

CoRR, 2020