| Sparse template-based 6-D pose estimation of metal parts using a monocular camera Z He, Z Jiang, X Zhao, S Zhang, C Wu IEEE Transactions on Industrial Electronics 67 (1), 390-401, 2019 | 63 | 2019 |
| Moment-based 2.5-D visual servoing for textureless planar part grasping Z He, C Wu, S Zhang, X Zhao IEEE Transactions on Industrial Electronics 66 (10), 7821-7830, 2018 | 40 | 2018 |
| Pseudo-siamese graph matching network for textureless objects’6-d pose estimation C Wu, L Chen, Z He, J Jiang IEEE Transactions on Industrial Electronics 69 (3), 2718-2727, 2021 | 35 | 2021 |
| REG-Net: Improving 6DoF object pose estimation with 2D keypoint long-short-range-aware registration J Jiang, Z He, X Zhao, S Zhang, C Wu, Y Wang IEEE Transactions on Industrial Informatics 19 (1), 328-338, 2022 | 22 | 2022 |
| A circular feature-based pose measurement method for metal part grasping C Wu, Z He, S Zhang, X Zhao Measurement Science and Technology 28 (11), 115009, 2017 | 19 | 2017 |
| Mp6d: An rgb-d dataset for metal parts’ 6d pose estimation L Chen, H Yang, C Wu, S Wu IEEE Robotics and Automation Letters 7 (3), 5912-5919, 2022 | 16 | 2022 |
| Geometric-aware dense matching network for 6D pose estimation of objects from RGB-D images C Wu, L Chen, S Wang, H Yang, J Jiang Pattern Recognition 137, 109293, 2023 | 15 | 2023 |
| Steel Surface defect classification based on small sample learning S Wu, S Zhao, Q Zhang, L Chen, C Wu Applied Sciences 11 (23), 11459, 2021 | 10 | 2021 |
| MLFNet: Monocular lifting fusion network for 6DoF texture-less object pose estimation J Jiang, Z He, X Zhao, S Zhang, C Wu, Y Wang Neurocomputing 504, 16-29, 2022 | 7 | 2022 |
| A novel metric-learning-based method for multi-instance textureless objects’ 6D pose estimation C Wu, L Chen, S Wu Applied Sciences 11 (22), 10531, 2021 | 5 | 2021 |
| Low-overlap point cloud registration algorithm based on coupled iteration S Wu, J Tao, C Wu, L Chen The Visual Computer 40 (5), 3151-3162, 2024 | 2 | 2024 |
| Cross-attention-based reflection-aware 6D pose estimation network for non-Lambertian objects from RGB images C Wu, L Chen, S Wu Machines 10 (12), 1107, 2022 | 2 | 2022 |
| An improved geometric error analysis method considering the variety of sensitivities over working space X Liu, Y Wang, L Qiu, C Wu, P Zhang, S Zhang Advances in mechanical engineering 10 (8), 1687814018792389, 2018 | 2 | 2018 |
| A geometric errors analysis method integrated clamping error and wear out error over working space X Liu, C Wu, L Qiu, Y Wang, S Zhang 2017 13th IEEE Conference on Automation Science and Engineering (CASE), 656-661, 2017 | | 2017 |
