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ORCIDShuichi Akizuki
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2020 – today
- 2024
[j6]Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto:
Reliable Image Matching Using Optimal Combination of Color and Intensity Information Based on Relationship with Surrounding Objects. IEICE Trans. Inf. Syst. 107(10): 1312-1321 (2024)- [j5]Kohei Okawa
, Felix Jimenez, Shuichi Akizuki, Tomohiro Yoshikawa:
Proposal of Learning Support Model for Teacher-Type Robot Supporting Learning According to Learner's Perplexed Facial Expressions. J. Robotics Mechatronics 36(1): 168-180 (2024) - 2023
- [c23]Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto:
Reliable Matching by Combining Optimal Color and Intensity Information Based on Relationships Between Target and Surrounding Objects. ISVC (2) 2023: 163-176 - [c22]Kohei Okawa, Felix Jimenez, Shuichi Akizuki, Tomohiro Yoshikawa:
Effect of a Learning Support Model that Provides Autonomous Learning Support in a Teacher-Type Robot Based on the Learner's Perplexion State. TAAI (1) 2023: 381-391 - [c21]Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto:
Fast and Reliable Template Matching Based on Effective Pixel Selection Using Color and Intensity Information. VISIGRAPP (5: VISAPP) 2023: 607-614 - 2022
- [j4]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:
Team O2AC at the world robot summit 2020: towards jigless, high-precision assembly. Adv. Robotics 36(22): 1213-1227 (2022) - [j3]Mika Oki, Shuichi Akizuki, Baptiste Bourreau, Issey Takahashi, Yoshimitsu Aoki, Junichi Yamamoto, Kenji Suzuki:
Supporting collective physical activities by interactive floor projection in a special-needs school setting. Int. J. Child Comput. Interact. 32: 100392 (2022) - [c20]Ryo Miyoshi, Shuichi Akizuki, Kensuke Tobitani, Noriko Nagata, Manabu Hashimoto:
Convolutional Neural Tree for Video-Based Facial Expression Recognition Embedding Emotion Wheel as Inductive Bias. ICIP 2022: 3261-3265 - [c19]Kohei Okawa, Felix Jimenez, Shuichi Akizuki, Tomohiro Yoshikawa:
Effects of a Teacher-type Robot Using a Perplexion Estimation Method on College Students. SCIS/ISIS 2022: 1-5 - 2021
- [c18]Shuichi Akizuki, Manabu Hashimoto:
ASM-Net: Category-level Pose and Shape Estimation Using Parametric Deformation. BMVC 2021: 414 - 2020
- [c17]Shuichi Akizuki, Manabu Hashimoto:
A Multi-purpose RGB-D Dataset for Understanding Everyday Objects. VISIGRAPP (5: VISAPP) 2020: 470-475
2010 – 2019
- 2019
- [c16]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, Akio Noda, Haruhisa Okuda, Tsukasa Ogasawara:
Bin-picking Robot using a Multi-gripper Switching Strategy based on Object Sparseness. CASE 2019: 1540-1547 - [c15]Yuchi Ishikawa, Haruya Ishikawa, Shuichi Akizuki, Masaki Yamazaki, Yasuhiro Taniguchi, Yoshimitsu Aoki:
Task-oriented Function Detection Based on Operational Tasks. ICAR 2019: 635-640 - [c14]Haruya Ishikawa, Yuchi Ishikawa, Shuichi Akizuki, Yoshimitsu Aoki:
Human-Object Maps for Daily Activity Recognition. MVA 2019: 1-6 - [c13]Shuichi Akizuki, Manabu Hashimoto:
Semi-automatic Training Data Generation for Semantic Segmentation using 6DoF Pose Estimation. VISIGRAPP (5: VISAPP) 2019: 607-613 - 2018
- [c12]Shuichi Akizuki, Yoshimitsu Aoki:
Tactile Logging for Understanding Plausible Tool Use Based on Human Demonstration. BMVC 2018: 334 - [c11]Teppei Suzuki, Shuichi Akizuki, Naoki Kato, Yoshimitsu Aoki:
Superpixel Convolution for Segmentation. ICIP 2018: 3249-3253 - 2017
- [j2]Natsuki Yamanobe, Weiwei Wan, Ixchel Georgina Ramirez-Alpizar, Damien Petit, Tokuo Tsuji, Shuichi Akizuki, Manabu Hashimoto, Kazuyuki Nagata, Kensuke Harada:
A brief review of affordance in robotic manipulation research. Adv. Robotics 31(19-20): 1086-1101 (2017) - [c10]Masaki Iizuka, Shuichi Akizuki, Manabu Hashimoto:
Affordance-based 3D feature for generic object recognition. QCAV 2017: 103380W - 2016
- [c9]Shuichi Akizuki, Manabu Hashimoto:
Physical Reasoning for 3D Object Recognition Using Global Hypothesis Verification. ECCV Workshops (3) 2016: 595-605 - [c8]Shuichi Akizuki, Manabu Hashimoto:
Multiple 3D Object Recognition using RGB-D Data and Physical Consistency for Automated Warehousing Robots. VISIGRAPP (4: VISAPP) 2016: 605-609 - 2015
- [j1]Shuichi Akizuki, Manabu Hashimoto:
Stable Position and Pose Estimation of Industrial Parts Using Evaluation of Observability of 3D Vector Pairs. J. Robotics Mechatronics 27(2): 174-181 (2015) - [c7]Shuichi Akizuki, Manabu Hashimoto:
DPN-LRF: A Local Reference Frame for Robustly Handling Density Differences and Partial Occlusions. ISVC (1) 2015: 878-887 - [c6]Shoichi Takei, Shuichi Akizuki, Manabu Hashimoto:
SHORT: A fast 3D feature description based on estimating occupancy in spherical shell regions. IVCNZ 2015: 1-5 - [c5]Yasunori Sakuramoto, Yuichi Kanematsu, Shuichi Akizuki, Manabu Hashimoto, Kiyotaka Watanabe, Makito Seki:
Reliable Image Matching using Binarized Gradient Features Obtained with Multi-flash Camera. VISAPP (2) 2015: 260-264 - 2014
- [c4]Shoichi Takei, Shuichi Akizuki, Manabu Hashimoto:
3D object recognition using effective features selected by evaluating performance of discrimination. ICARCV 2014: 70-75 - [c3]Masanobu Nagase, Shuichi Akizuki, Manabu Hashimoto:
High-speed and reliable object recognition based on low-dimensional local shape features. ICARCV 2014: 82-87 - [c2]Shuichi Akizuki, Manabu Hashimoto:
Position and pose recognition of randomly stacked objects using highly observable 3D vector pairs. IECON 2014: 5266-5271 - 2013
- [c1]Masanobu Nagase, Shuichi Akizuki, Manabu Hashimoto:
3-D Feature Point Matching for Object Recognition Based on Estimation of Local Shape Distinctiveness. CAIP (1) 2013: 473-481
Coauthor Index
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last updated on 2024-10-16 20:26 CEST by the dblp team
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