| Spidercnn: Deep learning on point sets with parameterized convolutional filters Y Xu, T Fan, M Xu, L Zeng, Y Qiao Proceedings of the European conference on computer vision (ECCV), 87-102, 2018 | 1003 | 2018 |
| Class-aware contrastive semi-supervised learning F Yang, K Wu, S Zhang, G Jiang, Y Liu, F Zheng, W Zhang, C Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 129 | 2022 |
| Ppr-net: point-wise pose regression network for instance segmentation and 6d pose estimation in bin-picking scenarios Z Dong, S Liu, T Zhou, H Cheng, L Zeng, X Yu, H Liu 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 83 | 2019 |
| Efficient slicing procedure based on adaptive layer depth normal image L Zeng, LML Lai, D Qi, YH Lai, MMF Yuen Computer-Aided Design 43 (12), 1577-1586, 2011 | 59 | 2011 |
| Orientation-point relation based inspection path planning method for 5-axis OMI system Y Li, L Zeng, K Tang, C Xie Robotics and Computer-Integrated Manufacturing 61, 101827, 2020 | 39 | 2020 |
| Accurate compensation method for probe pre-travel errors in on-machine inspections S Li, L Zeng, P Feng, Y Li, C Xu, Y Ma The International Journal of Advanced Manufacturing Technology 103, 2401-2410, 2019 | 38 | 2019 |
| A dynamic pre-travel error prediction model for the kinematic touch trigger probe Y Li, L Zeng, K Tang, S Li Measurement 146, 689-704, 2019 | 32 | 2019 |
| Attention-based deep learning for chip-surface-defect detection S Wang, H Wang, F Yang, F Liu, L Zeng The International Journal of Advanced Manufacturing Technology 121 (3), 1957 …, 2022 | 31 | 2022 |
| Path planning method for on-machine inspection of aerospace structures based on adjacent feature graph B Li, P Feng, L Zeng, C Xu, J Zhang Robotics and Computer-Integrated Manufacturing 54, 17-34, 2018 | 30 | 2018 |
| An accurate probe pre-travel error compensation model for five-axis on-machine inspection system S Li, L Zeng, P Feng, D Yu Precision Engineering 62, 256-264, 2020 | 28 | 2020 |
| PPR-Net++: Accurate 6-D pose estimation in stacked scenarios L Zeng, WJ Lv, ZK Dong, YJ Liu IEEE Transactions on Automation Science and Engineering 19 (4), 3139-3151, 2021 | 27 | 2021 |
| Sketch2Jewelry: Semantic feature modeling for sketch-based jewelry design L Zeng, Y Liu, J Wang, D Zhang, MMF Yuen Computers & graphics 38, 69-77, 2014 | 27 | 2014 |
| Least squares quasi-developable mesh approximation L Zeng, YJ Liu, M Chen, MMF Yuen Computer aided geometric design 29 (7), 565-578, 2012 | 23 | 2012 |
| Sketch-based retrieval and instantiation of parametric parts L Zeng, Z Dong, J Yu, J Hong, H Wang Computer-Aided Design 113, 82-95, 2019 | 18 | 2019 |
| Q-Complex: Efficient non-manifold boundary representation with inclusion topology L Zeng, YJ Liu, SH Lee, MMF Yuen Computer-Aided Design 44 (11), 1115-1126, 2012 | 16 | 2012 |
| Robust slicing procedure based on surfel-grid D Qi, L Zeng, MMF Yuen Computer-Aided Design and Applications 10 (6), 965-981, 2013 | 15 | 2013 |
| A voxel model-based process-planning method for five-axis machining of complicated parts Y Li, K Tang, L Zeng Journal of Computing and Information Science in Engineering 20 (4), 041012, 2020 | 14 | 2020 |
| Reinforcement learning based pushing and grasping objects from ungraspable poses H Zhang, H Liang, L Cong, J Lyu, L Zeng, P Feng, J Zhang 2023 IEEE International Conference on Robotics and Automation (ICRA), 3860-3866, 2023 | 13 | 2023 |
| Efficient adaptive sampling methods based on deviation analysis for on-machine inspection X Cheng, X Liu, P Feng, L Zeng, H Jiang, Z Sun, S Zhang Measurement 188, 110497, 2022 | 13 | 2022 |
| Grid: Scene-graph-based instruction-driven robotic task planning Z Ni, X Deng, C Tai, X Zhu, Q Xie, W Huang, X Wu, L Zeng 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | 11 | 2024 |
Yong-Jin LIUComputer Science and Technology, Tsinghua UniversityVerified email at tsinghua.edu.cn