| 6d object pose regression via supervised learning on point clouds G Gao, M Lauri, Y Wang, X Hu, J Zhang, S Frintrop 2020 IEEE International Conference on Robotics and Automation (ICRA), 3643-3649, 2020 | 82 | 2020 |
| Cloudaae: Learning 6d object pose regression with on-line data synthesis on point clouds G Gao, M Lauri, X Hu, J Zhang, S Frintrop 2021 IEEE International Conference on Robotics and Automation (ICRA), 11081 …, 2021 | 42 | 2021 |
| Occlusion resistant object rotation regression from point cloud segments G Gao, M Lauri, J Zhang, S Frintrop Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 27 | 2018 |
| Comparison of Dynamic Vision Sensor-Based and IMU-based systems for ankle joint angle gait analysis G Gao, M Kyrarini, M Razavi, X Wang, A Gräser 2016 2nd International Conference on Frontiers of Signal Processing (ICFSP …, 2016 | 16 | 2016 |
| Saliency-guided adaptive seeding for supervoxel segmentation G Gao, M Lauri, J Zhang, S Frintrop 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 13 | 2017 |
| Attention based visual analysis for fast grasp planning with a multi-fingered robotic hand Z Deng, G Gao, S Frintrop, F Sun, C Zhang, J Zhang Frontiers in neurorobotics 13, 60, 2019 | 10 | 2019 |
| Low-level sensor fusion-based human tracking for mobile robot D Ristić-Durrant, G Gao, A Leu Facta Universitatis, Series: Automatic Control and Robotics 1 (1), 17-32, 2016 | 9 | 2016 |
| Learning 6d object pose from point clouds G Gao Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021 | 2 | 2021 |
Simone FrintropComputer Vision Group, Department of Informatics, University of Hamburg, Germany在 uni-hamburg.de 的电子邮件经过验证
