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Eiichi Matsumoto
Eiichi Matsumoto
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Title
Cited by
Cited by
Year
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
6312017
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
5002017
Decomposing nerf for editing via feature field distillation
S Kobayashi, E Matsumoto, V Sitzmann
Advances in Neural Information Processing Systems 35, 23311-23330, 2022
2212022
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
712020
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
492019
Internal combustion engine with crankcase ventilation system
E Matsumoto, T Aruga
US Patent 5,069,192, 1991
411991
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 c, 2022
382022
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
262022
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
262017
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 c, 2020
252020
Formed in place (FIP) gasket arrangement
K Kawai, E Matsumoto, M Teramoto
US Patent 4,832,349, 1989
241989
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
192017
Factor analysis influencing postoperative hospital stay and medical costs for patients with definite, suspected, or unmatched diagnosis of acute cholecystitis according to the c
A Hayasaki, K Takahashi, T Fujii, K Kumamoto, K Fujii, E Matsumoto, ...
Gastroenterology Research and Practice 2016, 2016
152016
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
132020
Robot system and workpiece picking method
T Yamazaki, D Okanohara, E Matsumoto
US Patent 11,845,194, 2023
122023
Learning device unit
D Okanohara, R Okuta, E Matsumoto, K Kawaai
US Patent 11,475,289, 2022
102022
Learning device, learning method, learning model, detection device and grasping system
H Kusano, K Ayaka, E Matsumoto
US Patent 11,034,018, 2021
92021
Fan device for internal combustion engine
Y Kikuchi, E Matsumoto, Y Tanaka
US Patent 4,550,695, 1985
91985
Oil pump driving mechanism
E Matsumoto
US Patent 4,879,981, 1989
81989
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
52020
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Articles 1–20