3-D Feature Point Matching for Object Recognition Based on Estimation of Local Shape Distinctiveness. - Masanobu Nagase; Shuichi Akizuki; Manabu Hashimoto (CAIP (1), 2013)

High-speed and reliable object recognition based on low-dimensional local shape features. - Masanobu Nagase; Shuichi Akizuki; Manabu Hashimoto (ICARCV, 2014)

3D object recognition using effective features selected by evaluating performance of discrimination. - Shoichi Takei; Shuichi Akizuki; Manabu Hashimoto (ICARCV, 2014)

Position and pose recognition of randomly stacked objects using highly observable 3D vector pairs. - Shuichi Akizuki; Manabu Hashimoto (IECON, 2014)

DPN-LRF: A Local Reference Frame for Robustly Handling Density Differences and Partial Occlusions. - Shuichi Akizuki; Manabu Hashimoto (ISVC (1), 2015)

SHORT: A fast 3D feature description based on estimating occupancy in spherical shell regions. - Shoichi Takei; Shuichi Akizuki; Manabu Hashimoto (IVCNZ, 2015)

Reliable Image Matching using Binarized Gradient Features Obtained with Multi-flash Camera. - Yasunori Sakuramoto; Yuichi Kanematsu; Shuichi Akizuki; Manabu Hashimoto; Kiyotaka Watanabe; Makito Seki (VISAPP (2), 2015)

Stable Position and Pose Estimation of Industrial Parts Using Evaluation of Observability of 3D Vector Pairs. - Shuichi Akizuki; Manabu Hashimoto (J. Robotics Mechatronics, 2015)

Physical Reasoning for 3D Object Recognition Using Global Hypothesis Verification. - Shuichi Akizuki; Manabu Hashimoto (ECCV Workshops (3), 2016)

Multiple 3D Object Recognition using RGB-D Data and Physical Consistency for Automated Warehousing Robots. - Shuichi Akizuki; Manabu Hashimoto (VISIGRAPP (4: VISAPP), 2016)

Affordance-based 3D feature for generic object recognition. - Masaki Iizuka; Shuichi Akizuki; Manabu Hashimoto (QCAV, 2017)

A brief review of affordance in robotic manipulation research. - Natsuki Yamanobe; Weiwei Wan; Ixchel Georgina Ramirez-Alpizar; Damien Petit; Tokuo Tsuji; Shuichi Akizuki; Manabu Hashimoto; Kazuyuki Nagata; Kensuke Harada (Adv. Robotics, 2017)

Tactile Logging for Understanding Plausible Tool Use Based on Human Demonstration. - Shuichi Akizuki; Yoshimitsu Aoki (BMVC, 2018)

Superpixel Convolution for Segmentation. - Teppei Suzuki; Shuichi Akizuki; Naoki Kato; Yoshimitsu Aoki (ICIP, 2018)

Bin-picking Robot using a Multi-gripper Switching Strategy based on Object Sparseness. - Masahiro Fujita; Yukiyasu Domae; Ryosuke Kawanishi; Gustavo Alfonso Garcia Ricardez; Kenta Kato; Koji Shiratsuchi; Rintaro Haraguchi; Ryosuke Araki; Hironobu Fujiyoshi; Shuichi Akizuki; Manabu Hashimoto; Albert J. Causo; et al. (CASE, 2019)

Task-oriented Function Detection Based on Operational Tasks. - Yuchi Ishikawa; Haruya Ishikawa; Shuichi Akizuki; Masaki Yamazaki; Yasuhiro Taniguchi; Yoshimitsu Aoki (ICAR, 2019)

Human-Object Maps for Daily Activity Recognition. - Haruya Ishikawa; Yuchi Ishikawa; Shuichi Akizuki; Yoshimitsu Aoki (MVA, 2019)

Semi-automatic Training Data Generation for Semantic Segmentation using 6DoF Pose Estimation. - Shuichi Akizuki; Manabu Hashimoto (VISIGRAPP (5: VISAPP), 2019)

A Multi-purpose RGB-D Dataset for Understanding Everyday Objects. - Shuichi Akizuki; Manabu Hashimoto (VISIGRAPP (5: VISAPP), 2020)

ASM-Net: Category-level Pose and Shape Estimation Using Parametric Deformation. - Shuichi Akizuki; Manabu Hashimoto (BMVC, 2021)

Convolutional Neural Tree for Video-Based Facial Expression Recognition Embedding Emotion Wheel as Inductive Bias. - Ryo Miyoshi; Shuichi Akizuki; Kensuke Tobitani; Noriko Nagata; Manabu Hashimoto (ICIP, 2022)

Effects of a Teacher-type Robot Using a Perplexion Estimation Method on College Students. - Kohei Okawa; Felix Jimenez 001; Shuichi Akizuki; Tomohiro Yoshikawa (SCIS/ISIS, 2022)

Team O2AC at the world robot summit 2020: towards jigless, high-precision assembly. - Felix von Drigalski; Cristian C. Beltran-Hernandez; Chisato Nakashima; Zhengtao Hu; Shuichi Akizuki; Toshio Ueshiba; Manabu Hashimoto; Kazumi Kasaura; Yukiyasu Domae; Weiwei Wan; Kensuke Harada (Adv. Robotics, 2022)

Supporting collective physical activities by interactive floor projection in a special-needs school setting. - Mika Oki; Shuichi Akizuki; Baptiste Bourreau; Issey Takahashi; Yoshimitsu Aoki; Junichi Yamamoto; Kenji Suzuki 002 (Int. J. Child Comput. Interact., 2022)

Reliable Matching by Combining Optimal Color and Intensity Information Based on Relationships Between Target and Surrounding Objects. - Rina Tagami; Hiroki Kobayashi; Shuichi Akizuki; Manabu Hashimoto (ISVC (2), 2023)

Effect of a Learning Support Model that Provides Autonomous Learning Support in a Teacher-Type Robot Based on the Learner's Perplexion State. - Kohei Okawa; Felix Jimenez 001; Shuichi Akizuki; Tomohiro Yoshikawa (TAAI (1), 2023)

Fast and Reliable Template Matching Based on Effective Pixel Selection Using Color and Intensity Information. - Rina Tagami; Hiroki Kobayashi; Shuichi Akizuki; Manabu Hashimoto (VISIGRAPP (5: VISAPP), 2023)

DC-PaDiM: Fast Anomaly Detection based on Effective Feature Dimension-Compression. - Naoki Murakami; Naoto Hiramatsu; Hiroki Kobayashi; Shuichi Akizuki; Manabu Hashimoto (CANDAR, 2024)

DoG-PaDiM: Anomaly Detection Based on Bandpass Filtering for Arbitrary Size Defect Extraction. - Naoto Hiramatsu; Naoki Murakami; Hiroki Kobayashi; Shuichi Akizuki; Manabu Hashimoto (CASE, 2024)

Simulation Results of a Spatio-Temporal Perplexion Estimation Method Based on Learners' Facial Expression Changes. - Koki Sato; Kohei Okawa; Felix Jimenez 001; Shuichi Akizuki; Tomohiro Yoshikawa (SCIS/ISIS, 2024)

Reliable Image Matching Using Optimal Combination of Color and Intensity Information Based on Relationship with Surrounding Objects. - Rina Tagami; Hiroki Kobayashi; Shuichi Akizuki; Manabu Hashimoto (IEICE Trans. Inf. Syst., 2024)

A proposal of anomaly detection method based on natural data augmentation in the Eigenspace. - Naoki Murakami; Naoto Hiramatsu; Hiroki Kobayashi; Shuichi Akizuki; Manabu Hashimoto (J. WSCG, 2024)

Proposal of Learning Support Model for Teacher-Type Robot Supporting Learning According to Learner's Perplexed Facial Expressions. - Kohei Okawa; Felix Jimenez 001; Shuichi Akizuki; Tomohiro Yoshikawa (J. Robotics Mechatronics, 2024)

Subspace-Based Embedded Feature Reduction for Fast Anomaly Detection. - Naoki Murakami; Naoto Hiramatsu; Hiroki Kobayashi; Shuichi Akizuki; Manabu Hashimoto (SCIA (2), 2025)

Food State Recognition from Recipes Using Multimodal Model for Task Monitoring in Autonomous Cooking Robots. - Rina Tagami; Hiroki Kobayashi; Shuichi Akizuki; Manabu Hashimoto (SCIA (2), 2025)

A Proposal for Cooking Motion Generation Based on Maximizing the Margin of Task Achievement. - Koki Maruyama; Kazuki Yamada; Takahiro Suzuki; Shuichi Akizuki; Manabu Hashimoto (Int. J. Autom. Technol., 2025)