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Naoya Chiba
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2020 – today
- 2024
- [c12]Tatsunori Taniai, Ryo Igarashi, Yuta Suzuki, Naoya Chiba, Kotaro Saito, Yoshitaka Ushiku, Kanta Ono:
Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding. ICLR 2024 - [c11]Hiroto Iino
, Kei Kase, Ryoichi Nakajo, Naoya Chiba, Hiroki Mori, Tetsuya Ogata:
Generating Long-Horizon Task Actions by Leveraging Predictions of Environmental States. SII 2024: 478-483 - [i7]Tatsunori Taniai, Ryo Igarashi, Yuta Suzuki, Naoya Chiba, Kotaro Saito, Yoshitaka Ushiku, Kanta Ono:
Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding. CoRR abs/2403.11686 (2024) - 2023
- [c10]Ziqing Ye
, Haichuan Yang
, Naoya Chiba
, Koichi Hashimoto
:
Comparative Study of Hybridization and Parameter Tuning Improvement Methods for EAs in WFLOP. CIIS 2023: 59-65 - [c9]Rintaro Yanagi
, Atsushi Hashimoto
, Naoya Chiba
, Yoshitaka Ushiku
:
Reference-based Dense Pose Estimation via Partial 3D Point Cloud Matching. ACM Multimedia 2023: 9411-9413 - [c8]Matus Tanonwong, Naoya Chiba, Koichi Hashimoto:
Recognition of Human Relationships Using Interactions and Gazes through Video Analysis in Surveillance Footage. ROBIO 2023: 1-7 - [i6]Floris Erich, Naoya Chiba, Yusuke Yoshiyasu, Noriaki Ando, Ryo Hanai, Yukiyasu Domae:
NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields. CoRR abs/2309.11966 (2023) - [i5]Shusaku Sone, Jiaxin Ma, Atsushi Hashimoto, Naoya Chiba, Yoshitaka Ushiku:
WeaveNet for Approximating Two-sided Matching Problems. CoRR abs/2310.12515 (2023) - [i4]Florian Lalande, Yoshitomo Matsubara, Naoya Chiba, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku:
A Transformer Model for Symbolic Regression towards Scientific Discovery. CoRR abs/2312.04070 (2023) - 2022
- [c7]Ryosuke Yamada, Hirokatsu Kataoka, Naoya Chiba, Yukiyasu Domae
, Tetsuya Ogata:
Point Cloud Pre-training with Natural 3D Structures. CVPR 2022: 21251-21261 - [i3]Rintaro Yanagi, Atsushi Hashimoto, Shusaku Sone, Naoya Chiba, Jiaxin Ma, Yoshitaka Ushiku:
Edge-Selective Feature Weaving for Point Cloud Matching. CoRR abs/2202.02149 (2022) - [i2]Yoshitomo Matsubara
, Naoya Chiba, Ryo Igarashi, Tatsunori Taniai, Yoshitaka Ushiku:
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery. CoRR abs/2206.10540 (2022) - [i1]Naoya Chiba, Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kotaro Saito, Kanta Ono:
Neural Structure Fields with Application to Crystal Structure Autoencoders. CoRR abs/2212.13120 (2022)
2010 – 2019
- 2019
- [c6]Naoya Chiba, Mingyu Li, Akira Imakura, Koichi Hashimoto:
Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation. ROBIO 2019: 7-13 - [c5]Naoya Chiba, Akira Imakura, Koichi Hashimoto:
Fast ADMM ℓ1 minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition. ROBIO 2019: 14-21 - [c4]Joshua Owoyemi
, Naoya Chiba, Koichi Hashimoto:
Discriminative Recognition of Point Cloud Gesture Classes through One-Shot Learning. ROBIO 2019: 2304-2309 - 2018
- [j1]Naoya Chiba, Koichi Hashimoto:
Homogeneous light transport matrix estimation based 3D shape measurement. Int. J. Mechatronics Autom. 6(2/3): 63-70 (2018) - [c3]Naoya Chiba, Koichi Hashimoto:
Sparse Estimation of Light Transport Matrix under Saturated Condition. BMVC 2018: 68 - [c2]Naoya Chiba, Koichi Hashimoto
:
Ultra-Fast Multi-Scale Shape Estimation of Light Transport Matrix for Complex Light Reflection Objects. ICRA 2018: 1-5 - 2017
- [c1]Naoya Chiba, Shogo Arai, Koichi Hashimoto
:
Feedback projection for 3D measurements under complex lighting conditions. ACC 2017: 4649-4656
Coauthor Index
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last updated on 2024-08-08 20:15 CEST by the dblp team
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