E-LIB Suche - Ergebnisse für: Chiba, Naoya

1

Generating Long-Horizon Task Actions by Leveraging Predicti..:

, In: 2024 IEEE/SICE International Symposium on System Integration (SII),

Iino, Hiroto ; Kase, Kei ; Nakajo, Ryoichi... - p. 478-483 , 2024

Link: https://doi.org/10.1109/..

2

Multi-Timestep-Ahead Prediction with Mixture of Experts for..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2023; Lecture Notes in Computer Science,

Suzuki, Kanata ; Kamiwano, Yuya ; Chiba, Naoya.. - p. 243-255 , 2023

Link: https://doi.org/10.1007/..

3

Reference-based Dense Pose Estimation via Partial 3D Point ..:

, In: Proceedings of the 31st ACM International Conference on Multimedia,

Yanagi, Rintaro ; Hashimoto, Atsushi ; Chiba, Naoya. - p. 9411-9413 , 2023

Link: https://dl.acm.org/doi/1..

4

Neural structure fields with application to crystal structu..:

Chiba, Naoya ; Suzuki, Yuta ; Taniai, Tatsunori...
Communications Materials. 4 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

5

Recognition of Human Relationships Using Interactions and G..:

, In: 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO),

Tanonwong, Matus ; Chiba, Naoya ; Hashimoto, Koichi - p. 1-7 , 2023

Link: https://doi.org/10.1109/..

6

Comparative Study of Hybridization and Parameter Tuning Imp..:

, In: Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems,

Ye, Ziqing ; Yang, Haichuan ; Chiba, Naoya. - p. 59-65 , 2023

Link: https://dl.acm.org/doi/1..

7

Point Cloud Pre-training with Natural 3D Structures:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Yamada, Ryosuke ; Kataoka, Hirokatsu ; Chiba, Naoya.. - p. 21251-21261 , 2022

Link: https://doi.org/10.1109/..

8

Discriminative Recognition of Point Cloud Gesture Classes t..:

, In: 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO),

Owoyemi, Joshua ; Chiba, Naoya ; Hashimoto, Koichi - p. 2304-2309 , 2019

Link: https://doi.org/10.1109/..

9

Fast ADMM ℓ1 minimization by applying SMW formula and multi..:

, In: 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO),

Chiba, Naoya ; Imakura, Akira ; Hashimoto, Koichi - p. 14-21 , 2019

Link: https://doi.org/10.1109/..

10

Bin-picking of Randomly Piled Shiny Industrial Objects Usin..:

, In: 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO),

Chiba, Naoya ; Li, Mingyu ; Imakura, Akira. - p. 7-13 , 2019

Link: https://doi.org/10.1109/..

11

Enhancement of magnetoelastic behavior of bimodal magnetic ..:

Mitsumata, Tetsu ; Ohori, Suguru ; Chiba, Naoya.
Soft Matter. 9 (2013) 42 - p. 10108 , 2013

Link: https://doi.org/10.1039/..

12

Wide-range Modulation of Dynamic Modulus and Loss Tangent f..:

Chiba, Naoya ; Yamamoto, Ken ; Hojo, Tsukasa..
Chemistry Letters. 42 (2013) 3 - p. 253-254 , 2013

Link: https://doi.org/10.1246/..

13

NeuralLabeling: A versatile toolset for labeling vision dat..:

Erich, Floris ; Chiba, Naoya ; Yoshiyasu, Yusuke...
http://arxiv.org/abs/2309.11966. , 2023

Link: http://arxiv.org/abs/230..

14

A Transformer Model for Symbolic Regression towards Scienti..:

Lalande, Florian ; Matsubara, Yoshitomo ; Chiba, Naoya...
http://arxiv.org/abs/2312.04070. , 2023

Link: http://arxiv.org/abs/231..

15

WeaveNet for Approximating Two-sided Matching Problems:

Sone, Shusaku ; Ma, Jiaxin ; Hashimoto, Atsushi..
http://arxiv.org/abs/2310.12515. , 2023

Link: http://arxiv.org/abs/231..