Shuichi Akizuki

According to our database, Shuichi Akizuki authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Proposal of Learning Support Model for Teacher-Type Robot Supporting Learning According to Learner's Perplexed Facial Expressions.

Kohei Okawa, Felix Jimenez, Shuichi Akizuki, Tomohiro Yoshikawa

J. Robotics Mechatronics, February, 2024

2023

Fast and Reliable Template Matching Based on Effective Pixel Selection Using Color and Intensity Information.

Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto

Proceedings of the 18th International Joint Conference on Computer Vision, 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, Shuichi Akizuki, Tomohiro Yoshikawa

Proceedings of the Technologies and Applications of Artificial Intelligence, 2023

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

Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

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

Int. J. Child Comput. Interact., 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

Effects of a Teacher-type Robot Using a Perplexion Estimation Method on College Students.

Kohei Okawa, Felix Jimenez, Shuichi Akizuki, Tomohiro Yoshikawa

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

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

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

ASM-Net: Category-level Pose and Shape Estimation Using Parametric Deformation.

Shuichi Akizuki, Manabu Hashimoto

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

A Multi-purpose RGB-D Dataset for Understanding Everyday Objects.

Shuichi Akizuki, Manabu Hashimoto

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019

Semi-automatic Training Data Generation for Semantic Segmentation using 6DoF Pose Estimation.

Shuichi Akizuki, Manabu Hashimoto

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Human-Object Maps for Daily Activity Recognition.

Haruya Ishikawa, Yuchi Ishikawa, Shuichi Akizuki, Yoshimitsu Aoki

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Task-oriented Function Detection Based on Operational Tasks.

Yuchi Ishikawa, Haruya Ishikawa, Shuichi Akizuki, Masaki Yamazaki, Yasuhiro Taniguchi, Yoshimitsu Aoki

Proceedings of the 19th International Conference on Advanced Robotics, 2019

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, Akio Noda, Haruhisa Okuda, Tsukasa Ogasawara

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

Superpixel Convolution for Segmentation.

Teppei Suzuki, Shuichi Akizuki, Naoki Kato, Yoshimitsu Aoki

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Tactile Logging for Understanding Plausible Tool Use Based on Human Demonstration.

Shuichi Akizuki, Yoshimitsu Aoki

Proceedings of the British Machine Vision Conference 2018, 2018

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

Affordance-based 3D feature for generic object recognition.

Masaki Iizuka, Shuichi Akizuki, Manabu Hashimoto

Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017

2016

Multiple 3D Object Recognition using RGB-D Data and Physical Consistency for Automated Warehousing Robots.

Shuichi Akizuki, Manabu Hashimoto

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Physical Reasoning for 3D Object Recognition Using Global Hypothesis Verification.

Shuichi Akizuki, Manabu Hashimoto

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

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

Reliable Image Matching using Binarized Gradient Features Obtained with Multi-flash Camera.

Yasunori Sakuramoto, Yuichi Kanematsu, Shuichi Akizuki, Manabu Hashimoto, Kiyotaka Watanabe, Makito Seki

Proceedings of the VISAPP 2015, 2015

SHORT: A fast 3D feature description based on estimating occupancy in spherical shell regions.

Shoichi Takei, Shuichi Akizuki, Manabu Hashimoto

Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

DPN-LRF: A Local Reference Frame for Robustly Handling Density Differences and Partial Occlusions.

Shuichi Akizuki, Manabu Hashimoto

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

2014

Position and pose recognition of randomly stacked objects using highly observable 3D vector pairs.

Shuichi Akizuki, Manabu Hashimoto

Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

3D object recognition using effective features selected by evaluating performance of discrimination.

Shoichi Takei, Shuichi Akizuki, Manabu Hashimoto

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

High-speed and reliable object recognition based on low-dimensional local shape features.

Masanobu Nagase, Shuichi Akizuki, Manabu Hashimoto

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

2013

3-D Feature Point Matching for Object Recognition Based on Estimation of Local Shape Distinctiveness.

Masanobu Nagase, Shuichi Akizuki, Manabu Hashimoto

Proceedings of the Computer Analysis of Images and Patterns, 2013