| Temporal generative adversarial nets with singular value clipping M Saito, E Matsumoto, S Saito Proceedings of the IEEE international conference on computer vision, 2830-2839, 2017 | 632 | 2017 |
| Learning discrete representations via information maximizing self-augmented training W Hu, T Miyato, S Tokui, E Matsumoto, M Sugiyama International conference on machine learning, 1558-1567, 2017 | 500 | 2017 |
| Decomposing nerf for editing via feature field distillation S Kobayashi, E Matsumoto, V Sitzmann Advances in Neural Information Processing Systems 35, 23311-23330, 2022 | 224 | 2022 |
| Machine learning device, robot system, and machine learning method for learning workpiece picking operation T Yamazaki, T Oyama, S Suyama, K Nakayama, H Kumiya, H Nakagawa, ... US Patent 10,717,196, 2020 | 71 | 2020 |
| Machine learning method and machine learning device for learning fault conditions, and fault prediction device and fault prediction system including the machine learning device S Inagaki, H Nakagawa, D Okanohara, R Okuta, E Matsumoto, K Kawaai US Patent 10,317,853, 2019 | 49 | 2019 |
| Internal combustion engine with crankcase ventilation system E Matsumoto, T Aruga US Patent 5,069,192, 1991 | 41 | 1991 |
| Surface-aligned neural radiance fields for controllable 3d human synthesis T Xu, Y Fujita, E Matsumoto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 39 | 2022 |
| Machine learning device, robot controller, robot system, and machine learning method for learning action pattern of human T Tsuda, D Okanohara, R Okuta, E Matsumoto, K Kawaai US Patent App. 15/222,947, 2017 | 27 | 2017 |
| Machine learning method and machine learning device for learning fault conditions, and fault prediction device and fault prediction system including the machine learning device S Inagaki, H Nakagawa, D Okanohara, R Okuta, E Matsumoto, K Kawaai US Patent 11,275,345, 2022 | 26 | 2022 |
| End-to-end learning of object grasp poses in the Amazon Robotics Challenge E Matsumoto, M Saito, A Kume, J Tan Advances on Robotic Item Picking: Applications in Warehousing & E-Commerce …, 2020 | 25 | 2020 |
| Formed in place (FIP) gasket arrangement K Kawai, E Matsumoto, M Teramoto US Patent 4,832,349, 1989 | 24 | 1989 |
| Map-based multi-policy reinforcement learning: enhancing adaptability of robots by deep reinforcement learning A Kume, E Matsumoto, K Takahashi, W Ko, J Tan arXiv preprint arXiv:1710.06117, 2017 | 19 | 2017 |
| Factor analysis influencing postoperative hospital stay and medical costs for patients with definite, suspected, or unmatched diagnosis of acute cholecystitis according to the … A Hayasaki, K Takahashi, T Fujii, K Kumamoto, K Fujii, E Matsumoto, ... Gastroenterology Research and Practice 2016, 2016 | 15 | 2016 |
| Machine learning device, robot controller, robot system, and machine learning method for learning action pattern of human T Tsuda, D Okanohara, R Okuta, E Matsumoto, K Kawaai US Patent 10,807,235, 2020 | 13 | 2020 |
| Robot system and workpiece picking method T Yamazaki, D Okanohara, E Matsumoto US Patent 11,845,194, 2023 | 12 | 2023 |
| Learning device unit D Okanohara, R Okuta, E Matsumoto, K Kawaai US Patent 11,475,289, 2022 | 10 | 2022 |
| Learning device, learning method, learning model, detection device and grasping system H Kusano, K Ayaka, E Matsumoto US Patent 11,034,018, 2021 | 9 | 2021 |
| Fan device for internal combustion engine Y Kikuchi, E Matsumoto, Y Tanaka US Patent 4,550,695, 1985 | 9 | 1985 |
| Oil pump driving mechanism E Matsumoto US Patent 4,879,981, 1989 | 8 | 1989 |
| Addressing class imbalance in scene graph parsing by learning to contrast and score H Huang, S Saito, Y Kikuchi, E Matsumoto, W Tang, PS Yu Proceedings of the Asian Conference on Computer Vision, 2020 | 5 | 2020 |
