| FPCC: Fast point cloud clustering-based instance segmentation for industrial bin-picking Y Xu, S Arai, D Liu, F Lin, K Kosuge Neurocomputing 494, 255-268, 2022 | 43 | 2022 |
| Hyperbolic chamfer distance for point cloud completion F Lin, Y Yue, S Hou, X Yu, Y Xu, KD Yamada, Z Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 37 | 2023 |
| A convolutional neural network for point cloud instance segmentation in cluttered scene trained by synthetic data without color Y Xu, S Arai, F Tokuda, K Kosuge IEEE Access 8, 70262-70269, 2020 | 32 | 2020 |
| 6D pose estimation of occlusion-free objects for robotic Bin-Picking using PPF-MEAM with 2D images (occlusion-free PPF-MEAM) D Liu, S Arai, Y Xu, F Tokuda, K Kosuge IEEE Access 9, 50857-50871, 2021 | 22 | 2021 |
| 2D object localization based point pair feature for pose estimation D Liu, S Arai, Z Feng, J Miao, Y Xu, J Kinugawa, K Kosuge 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1119 …, 2018 | 21 | 2018 |
| Cosmos propagation network: Deep learning model for point cloud completion F Lin, Y Xu, Z Zhang, C Gao, KD Yamada Neurocomputing 507, 221-234, 2022 | 14 | 2022 |
| Deep-learning based robust edge detection for point pair feature-based pose estimation with multiple edge appearance models D Liu, S Arai, F Tokuda, Y Xu, J Kinugawa, K Kosuge 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2920 …, 2019 | 11 | 2019 |
| Deep-Learning-Based Three-Dimensional Detection of Individual Wave-Dissipating Blocks from As-Built Point Clouds Measured by UAV Photogrammetry and Multibeam Echo-Sounder Y Xu, S Kanai, H Date, T Sano Remote Sensing 14 (21), 5575, 2022 | 5 | 2022 |
| FPCC: Fast Point Cloud Clustering for Instance Segmentation Y Xu, S Arai, D Liu, F Lin, K Kosuge arXiv preprint arXiv:2012.14618, 2020 | 3 | 2020 |
| Prediction of 3D stacking poses of supplemental wave-dissipating blocks based on existing block poses and physics engine Y Xu, S Kanai, H Date, T Sano, T Teranishi Proceedings of JSPE Semestrial Meeting 2022 JSPE Spring Conference, 156-157, 2022 | 2 | 2022 |
| Recognition of wave-dissipating blocks with multiple types from 3D large-scale point clouds Y Xu, S Kanai, H Date, T Sano, T Teranishi Proceedings of JSPE Semestrial Meeting 2021 JSPE Spring Conference, 53-54, 2021 | 2 | 2021 |
| Recognition of wave-dissipating blocks from large-scale measured point cloud using deep learning Y XU, S KANAI, H DATE, T SANO, T TERANISHI Proc. of JSPE Hokkaido Branch, 27-28, 2020 | 1 | 2020 |
| Stacking Operation Planning for Replenishing Wave-Dissipating Blocks based on Deep Learning and Physics Engine Y Xu, S Kanai, H Date, T Sano Proceedings of JSPE Semestrial Meeting 2023 JSPE Spring Conference, 575-576, 2023 | | 2023 |
| Prediction of the number of wave-dissipating blocks for repair work based on the identification and pose estimation of existing blocks Y Xu, S Kanai, H Date, T Sano, T Teranishi Proceedings of JSPE Semestrial Meeting 2021 JSPE Autumn Conference, 538-539, 2021 | | 2021 |
| Deep learning-based optimal pose estimation of wave-dissipating blocks for regular supplementary works Y XU, S KANAI, H DATE, T SANO, T TERANISHI | | |
Kazuhiro KosugeThe University of Hong KongPatvirtintas el. paštas hku.hk