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Shigemichi Matsuzaki
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2020 – today
- 2024
- [j4]Shigemichi Matsuzaki, Kenji Koide, Shuji Oishi, Masashi Yokozuka, Atsuhiko Banno:
Single-shot global localization via graph-theoretic correspondence matching. Adv. Robotics 38(3): 168-181 (2024) - [j3]Shigemichi Matsuzaki, Kazuhito Tanaka, Kazuhiro Shintani:
CLIP-Clique: Graph-Based Correspondence Matching Augmented by Vision Language Models for Object-Based Global Localization. IEEE Robotics Autom. Lett. 9(11): 10399-10406 (2024) - [c6]Shigemichi Matsuzaki, Takuma Sugino, Kazuhito Tanaka, Zijun Sha, Shintaro Nakaoka, Shintaro Yoshizawa, Kazuhiro Shintani:
CLIP-Loc: Multi-modal Landmark Association for Global Localization in Object-based Maps. ICRA 2024: 13673-13679 - [i7]Shigemichi Matsuzaki, Takuma Sugino, Kazuhito Tanaka, Zijun Sha, Shintaro Nakaoka, Shintaro Yoshizawa, Kazuhiro Shintani:
CLIP-Loc: Multi-modal Landmark Association for Global Localization in Object-based Maps. CoRR abs/2402.06092 (2024) - [i6]Shigemichi Matsuzaki, Kazuhito Tanaka, Kazuhiro Shintani:
CLIP-Clique: Graph-based Correspondence Matching Augmented by Vision Language Models for Object-based Global Localization. CoRR abs/2410.03054 (2024) - 2023
- [c5]Yoshinobu Uzawa, Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura:
Dataset Generation for Deep Visual Navigation in Unstructured Environments. ECMR 2023: 1-6 - [c4]Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura:
Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic Segmentation. IROS 2023: 5852-5857 - [i5]Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura:
Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic Segmentation. CoRR abs/2303.00979 (2023) - [i4]Shigemichi Matsuzaki, Kenji Koide, Shuji Oishi, Masashi Yokozuka, Atsuhiko Banno:
Single-Shot Global Localization via Graph-Theoretic Correspondence Matching. CoRR abs/2306.03641 (2023) - 2022
- [j2]Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura:
Image-Based Scene Recognition for Robot Navigation Considering Traversable Plants and Its Manual Annotation-Free Training. IEEE Access 10: 5115-5128 (2022) - [j1]Shigemichi Matsuzaki, Jun Miura, Hiroaki Masuzawa:
Multi-source pseudo-label learning of semantic segmentation for the scene recognition of agricultural mobile robots. Adv. Robotics 36(19): 1011-1029 (2022) - [c3]Yoshinobu Uzawa, Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura:
End-to-End Path Estimation and Automatic Dataset Generation for Robot Navigation in Plant-Rich Environments. IAS 2022: 272-284 - [c2]Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura:
Online Refinement of a Scene Recognition Model for Mobile Robots by Observing Human's Interaction with Environments. SMC 2022: 216-222 - [i3]Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura:
Online Refinement of a Scene Recognition Model for Mobile Robots by Observing Human's Interaction with Environments. CoRR abs/2208.06636 (2022) - 2021
- [i2]Shigemichi Matsuzaki, Jun Miura, Hiroaki Masuzawa:
Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots. CoRR abs/2102.06386 (2021) - [i1]Shigemichi Matsuzaki, Jun Miura, Hiroaki Masuzawa:
Semantic-aware plant traversability estimation in plant-rich environments for agricultural mobile robots. CoRR abs/2108.00759 (2021)
2010 – 2019
- 2018
- [c1]Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura, Shuji Oishi:
3D Semantic Mapping in Greenhouses for Agricultural Mobile Robots with Robust Object Recognition Using Robots' Trajectory. SMC 2018: 357-362
Coauthor Index
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last updated on 2024-11-08 21:30 CET by the dblp team
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