Instruct 3d-to-3d: Text instruction guided 3d-to-3d conversion H Kamata, Y Sakuma, A Hayakawa, M Ishii, T Narihira arXiv preprint arXiv:2303.15780, 2023 | 15 | 2023 |
Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives T Narihira, J Alonsogarcia, F Cardinaux, A Hayakawa, M Ishii, K Iwaki, ... arXiv preprint arXiv:2102.06725, 2021 | 11 | 2021 |
Fine-grained image editing by pixel-wise guidance using diffusion models N Matsunaga, M Ishii, A Hayakawa, K Suzuki, T Narihira arXiv preprint arXiv:2212.02024, 2022 | 9 | 2022 |
Reference-based video colorization with spatiotemporal correspondence N Akimoto, A Hayakawa, A Shin, T Narihira arXiv preprint arXiv:2011.12528, 2020 | 8 | 2020 |
Out-of-core training for extremely large-scale neural networks with adaptive window-based scheduling A Hayakawa, T Narihira arXiv preprint arXiv:2010.14109, 2020 | 3 | 2020 |
Bias adjustment device, information processing device, information processing method, and information processing program Y Kobayashi, A Shin, A Hayakawa, T Takayanagi, H Suzuki US Patent App. 17/771,051, 2022 | | 2022 |
Gastric cancer detection for gastroenterological endoscopy with local and multi-scale global information A Hayakawa, Y Kurose, K Tanaka, K Aida, S Satoh, M Kitsuregawa, ... The International Conference of Computer Assisted Radiology and Surgery, 2019 | | 2019 |