フォロー
Naoya Chiba
Naoya Chiba
Graduate School of Information Sciences, Tohoku University
確認したメール アドレス: ic.is.tohoku.ac.jp - ホームページ
タイトル
引用先
引用先
Point cloud pre-training with natural 3D structures
R Yamada, H Kataoka, N Chiba, Y Domae, T Ogata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
252022
Feedback projection for 3D measurements under complex lighting conditions
N Chiba, S Arai, K Hashimoto
2017 American Control Conference (ACC), 4649-4656, 2017
202017
3D measurement by estimating homogeneous light transport (HLT) matrix
N Chiba, K Hashimoto
2017 IEEE International Conference on Mechatronics and Automation (ICMA …, 2017
172017
Ultra-fast multi-scale shape estimation of light transport matrix for complex light reflection objects
N Chiba, K Hashimoto
2018 IEEE International Conference on Robotics and Automation (ICRA), 6147-6152, 2018
152018
Rethinking symbolic regression datasets and benchmarks for scientific discovery
Y Matsubara, N Chiba, R Igarashi, Y Ushiku
arXiv preprint arXiv:2206.10540, 2022
102022
Sparse Estimation of Light Transport Matrix under Saturated Condition.
N Chiba, K Hashimoto
BMVC, 68, 2018
42018
SRSD: Rethinking Datasets of Symbolic Regression for Scientific Discovery
Y Matsubara, N Chiba, R Igarashi, Y Ushiku
NeurIPS 2022 AI for Science: Progress and Promises, 2022
32022
Homogeneous light transport matrix estimation based 3D shape measurement
N Chiba, K Hashimoto
International Journal of Mechatronics and Automation 6 (2-3), 63-70, 2018
32018
LT 行列行分解推定による三次元計測
千葉直也, 橋本浩一
計測自動制御学会論文集 55 (4), 294-304, 2019
22019
3D Keypoint 対応付けの高精度化に関する検討
荒井翔悟, 福地伸晃, 千葉直也, 橋本浩一
ロボティクス・メカトロニクス講演会講演概要集 2015, 1A1-H03, 2015
22015
NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields
F Erich, N Chiba, Y Yoshiyasu, N Ando, R Hanai, Y Domae
arXiv preprint arXiv:2309.11966, 2023
12023
Edge-Selective Feature Weaving for Point Cloud Matching
R Yanagi, A Hashimoto, S Sone, N Chiba, J Ma, Y Ushiku
arXiv preprint arXiv:2202.02149, 2022
12022
Discriminative recognition of point cloud gesture classes through one-shot learning
J Owoyemi, N Chiba, K Hashimoto
2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2304 …, 2019
12019
Object Detection in Bin Scene without CAD Model
N FUKUCHI, N CHIBA, K HASHIMOTO
日本ロボット学会誌 36 (5), 368-375, 2018
12018
サチュレーションとガンマ補正を考慮したプロジェクタ・カメラシステムの光学キャリブレーションツールの開発
千葉直也, 橋本浩一
ロボティクス・メカトロニクス講演会講演概要集 2018, 2A1-M13, 2018
12018
物理シミュレーションと透視投影カメラモデルを用いたバラ積みシーン点群生成プログラムの開発
千葉直也, 橋本浩一
ロボティクス・メカトロニクス講演会講演概要集 2017, 2A2-O09, 2017
12017
Generating Long-Horizon Task Actions by Leveraging Predictions of Environmental States
H Iino, K Kase, R Nakajo, N Chiba, H Mori, T Ogata
2024 IEEE/SICE International Symposium on System Integration (SII), 478-483, 2024
2024
Neural structure fields with application to crystal structure autoencoders
N Chiba, Y Suzuki, T Taniai, R Igarashi, Y Ushiku, K Saito, K Ono
Communications Materials 4 (1), 106, 2023
2023
A Transformer Model for Symbolic Regression towards Scientific Discovery
F Lalande, Y Matsubara, N Chiba, T Taniai, R Igarashi, Y Ushiku
arXiv preprint arXiv:2312.04070, 2023
2023
Recognition of Human Relationships Using Interactions and Gazes through Video Analysis in Surveillance Footage
M Tanonwong, N Chiba, K Hashimoto
2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1-7, 2023
2023
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
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