| Graspnet-1billion: A large-scale benchmark for general object grasping HS Fang, C Wang, M Gou, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 583 | 2020 |
| Instaboost: Boosting instance segmentation via probability map guided copy-pasting HS Fang, J Sun, R Wang, M Gou, YL Li, C Lu Proceedings of the IEEE/CVF international conference on computer vision, 682-691, 2019 | 246 | 2019 |
| Anygrasp: Robust and efficient grasp perception in spatial and temporal domains HS Fang, C Wang, H Fang, M Gou, J Liu, H Yan, W Liu, Y Xie, C Lu IEEE Transactions on Robotics, 2023 | 150 | 2023 |
| Rgb matters: Learning 7-dof grasp poses on monocular rgbd images M Gou, HS Fang, Z Zhu, S Xu, C Wang, C Lu 2021 IEEE International Conference on Robotics and Automation (ICRA), 13459 …, 2021 | 129 | 2021 |
| Graspness discovery in clutters for fast and accurate grasp detection C Wang, HS Fang, M Gou, H Fang, J Gao, C Lu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 107 | 2021 |
| Ocrtoc: A cloud-based competition and benchmark for robotic grasping and manipulation Z Liu, W Liu, Y Qin, F Xiang, M Gou, S Xin, MA Roa, B Calli, H Su, Y Sun, ... IEEE Robotics and Automation Letters 7 (1), 486-493, 2021 | 56 | 2021 |
| Robust grasping across diverse sensor qualities: The GraspNet-1Billion dataset HS Fang, M Gou, C Wang, C Lu The International Journal of Robotics Research 42 (12), 1094-1103, 2023 | 16 | 2023 |
| Unseen object 6D pose estimation: a benchmark and baselines M Gou, H Pan, HS Fang, Z Liu, C Lu, P Tan arXiv preprint arXiv:2206.11808, 2022 | 14 | 2022 |
| A real world dataset for multi-view 3d reconstruction R Shrestha, S Hu, M Gou, Z Liu, P Tan European Conference on Computer Vision, 56-73, 2022 | 13 | 2022 |
| Target-referenced reactive grasping for dynamic objects J Liu, R Zhang, HS Fang, M Gou, H Fang, C Wang, S Xu, H Yan, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 12 | 2023 |
| InstaBoost++: Visual Coherence Principles for Unified 2D/3D Instance Level Data Augmentation J Sun, HS Fang, Y Li, R Wang, M Gou, C Lu International Journal of Computer Vision 131 (10), 2665-2681, 2023 | 5 | 2023 |
| A novel method for detecting joint angles based on inertial and magnetic sensors Y Huang, M Gou, P Zhang, X Wang, H Xie, X Sheng 2018 25th International Conference on Mechatronics and Machine Vision in …, 2018 | 1 | 2018 |
Hao-Shu FangMassachusetts Institute of TechnologyBestätigte E-Mail-Adresse bei mit.edu
