Feedback projection for 3D measurements under complex lighting conditions. - Naoya Chiba; Shogo Arai; Koichi Hashimoto (ACC, 2017)

Sparse Estimation of Light Transport Matrix under Saturated Condition. - Naoya Chiba; Koichi Hashimoto (BMVC, 2018)

Ultra-Fast Multi-Scale Shape Estimation of Light Transport Matrix for Complex Light Reflection Objects. - Naoya Chiba; Koichi Hashimoto (ICRA, 2018)

Homogeneous light transport matrix estimation based 3D shape measurement. - Naoya Chiba; Koichi Hashimoto (Int. J. Mechatronics Autom., 2018)

Fast ADMM ℓ1 minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition. - Naoya Chiba; Akira Imakura; Koichi Hashimoto (ROBIO, 2019)

Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation. - Naoya Chiba; Mingyu Li; Akira Imakura; Koichi Hashimoto (ROBIO, 2019)

Discriminative Recognition of Point Cloud Gesture Classes through One-Shot Learning. - Joshua Owoyemi; Naoya Chiba; Koichi Hashimoto (ROBIO, 2019)

Point Cloud Pre-training with Natural 3D Structures. - Ryosuke Yamada; Hirokatsu Kataoka; Naoya Chiba; Yukiyasu Domae; Tetsuya Ogata (CVPR, 2022)

Edge-Selective Feature Weaving for Point Cloud Matching. - Rintaro Yanagi; Atsushi Hashimoto 001; Shusaku Sone; Naoya Chiba; Jiaxin Ma; Yoshitaka Ushiku (CoRR, 2022)

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery. - Yoshitomo Matsubara; Naoya Chiba; Ryo Igarashi 002; Tatsunori Taniai; Yoshitaka Ushiku (CoRR, 2022)

Neural Structure Fields with Application to Crystal Structure Autoencoders. - Naoya Chiba; Yuta Suzuki; Tatsunori Taniai; Ryo Igarashi 002; Yoshitaka Ushiku; Kotaro Saito; Kanta Ono (CoRR, 2022)

Comparative Study of Hybridization and Parameter Tuning Improvement Methods for EAs in WFLOP. - Ziqing Ye; Haichuan Yang; Naoya Chiba; Koichi Hashimoto (CIIS, 2023)

Multi-Timestep-Ahead Prediction with Mixture of Experts for Embodied Question Answering. - Kanata Suzuki; Yuya Kamiwano; Naoya Chiba; Hiroki Mori; Tetsuya Ogata (ICANN (6), 2023)

Reference-based Dense Pose Estimation via Partial 3D Point Cloud Matching. - Rintaro Yanagi; Atsushi Hashimoto 001; Naoya Chiba; Yoshitaka Ushiku (ACM Multimedia, 2023)

Recognition of Human Relationships Using Interactions and Gazes through Video Analysis in Surveillance Footage. - Matus Tanonwong; Naoya Chiba; Koichi Hashimoto (ROBIO, 2023)

NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields. - Floris Erich; Naoya Chiba; Yusuke Yoshiyasu; Noriaki Ando; Ryo Hanai; Yukiyasu Domae (CoRR, 2023)

WeaveNet for Approximating Two-sided Matching Problems. - Shusaku Sone; Jiaxin Ma; Atsushi Hashimoto 001; Naoya Chiba; Yoshitaka Ushiku (CoRR, 2023)

A Transformer Model for Symbolic Regression towards Scientific Discovery. - Florian Lalande; Yoshitomo Matsubara; Naoya Chiba; Tatsunori Taniai; Ryo Igarashi 002; Yoshitaka Ushiku (CoRR, 2023)

Learning 3D Point Cloud Registration as a Single Optimization Problem. - Rintaro Yanagi; Atsushi Hashimoto 001; Naoya Chiba; Shusaku Sone; Jiaxin Ma; Yoshitaka Ushiku (ACCV (9), 2024)

Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding. - Tatsunori Taniai; Ryo Igarashi 002; Yuta Suzuki; Naoya Chiba; Kotaro Saito; Yoshitaka Ushiku; Kanta Ono (ICLR, 2024)

NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields. - Floris Erich; Naoya Chiba; Abdullah Mustafa; Yusuke Yoshiyasu; Noriaki Ando; Ryo Hanai; Yukiyasu Domae (IROS, 2024)

RPD-SLAM: Real-time Semantic SLAM for Partially Dense Mapping with Road-Sign Understanding in Dynamic Outdoor Environments. - Yu Zhu; Naoya Chiba; Koichi Hashimoto (ROBIO, 2024)

Generating Long-Horizon Task Actions by Leveraging Predictions of Environmental States. - Hiroto Iino; Kei Kase; Ryoichi Nakajo; Naoya Chiba; Hiroki Mori; Tetsuya Ogata (SII, 2024)

Accurate Estimation of Fiducial Marker Positions Using Motion Capture System. - Matus Tanonwong; Naoya Chiba; Koichi Hashimoto (SII, 2025)

A Self-Attention Multi-Task Learning Model for Garment Segmentation and Parts Recognition. - Yilin Zhang; Alberto Petrilli; Naoya Chiba; Koichi Hashimoto (SII, 2025)

Contrastive Language-Structure Pre-training Driven by Materials Science Literature. - Yuta Suzuki; Tatsunori Taniai; Ryo Igarashi 002; Kotaro Saito; Naoya Chiba; Yoshitaka Ushiku; Kanta Ono (CoRR, 2025)

Focused Blind Switching Manipulation Based on Constrained and Regional Touch States of Multi-Fingered Hand Using Deep Learning. - Satoshi Funabashi; Atsumu Hiramoto; Naoya Chiba; Alexander Schmitz; Shardul Kulkarni; Tetsuya Ogata (CoRR, 2025)

MRHaD: Mixed Reality-based Hand-Drawn Map Editing Interface for Mobile Robot Navigation. - Takumi Taki; Masato Kobayashi; Eduardo Iglesius; Naoya Chiba; Shizuka Shirai; Yuki Uranishi (CoRR, 2025)

Chaotic map-coded metaheuristics for metameric variable-length problems. - Haichuan Yang; Haotian Li; Yifei Yang; Naoya Chiba; Shingo Kagami; Koichi Hashimoto; Yuichi Nagata (Genet. Program. Evolvable Mach., 2025)