| MLCVNet: Multi-Level Context VoteNet for 3D Object Detection Q Xie, YK Lai, J Wu, Z Wang, Y Zhang, K Xu, J Wang CVPR 2020, 10447-10456, 2020 | 213 | 2020 |
| Detail-recovery Image Deraining via Context Aggregation Networks S Deng, M Wei, J Wang, Y Feng, L Liang, H Xie, FL Wang, M Wang CVPR 2020, 14560-14569, 2020 | 209 | 2020 |
| Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN Y Xu, D Li, Q Xie, Q Wu, J Wang Measurement 109316, 2021 | 176 | 2021 |
| Automatic Defect Detection of Metro Tunnel Surfaces Using a Vision-based Inspection System D Li, Q Xie, X Gong, Z Yu, J Xu, Y Sun, J Wang Advanced Engineering Informatics, 2021 | 175 | 2021 |
| Automatic detection and classification of sewer defects via hierarchical deep learning Q Xie, D Li, J Xu, Z Yu, J Wang IEEE Transactions on Automation Science and Engineering 16 (4), 1836-1847, 2019 | 161 | 2019 |
| A Framework for 3D Model Reconstruction in Reverse Engineering J Wang, D Gu, Z Yu, C Tan, L Zhou Computers & Industrial Engineering, 2012 | 146 | 2012 |
| Bi-normal filtering for mesh denoising M Wei, J Yu, WM Pang, J Wang, J Qin, L Liu, PA Heng IEEE transactions on visualization and computer graphics 21 (1), 43-55, 2014 | 107 | 2014 |
| Deep feature-preserving normal estimation for point cloud filtering D Lu, X Lu, Y Sun, J Wang Computer-Aided Design 125, 102860, 2020 | 98 | 2020 |
| Point cloud normal estimation via low-rank subspace clustering J Zhang, J Cao, X Liu, J Wang, J Liu, X Shi Computers & Graphics 37 (6), 697-706, 2013 | 94 | 2013 |
| Implicit block diagonal low-rank representation X Xie, X Guo, G Liu, J Wang IEEE Transactions on Image Processing 27 (1), 477-489, 2017 | 91 | 2017 |
| Tiny Defect Detection in High-Resolution Aero-Engine Blade Images via a Coarse-to-Fine Framework D Li, Y Li, Q Xie, Y Wu, Z Yu, J Wang IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 84 | 2021 |
| Collaborative manufacturing technologies of structure shape and surface integrity for complex thin-walled components of aero-engine: Status, challenge and tendency Z Biao, D Wenfeng, S Zhongde, W Jun, YAO Changfeng, Z Zhengcai, ... Chinese Journal of Aeronautics 36 (7), 1-24, 2023 | 83 | 2023 |
| Urban building reconstruction from raw LiDAR point data C Yi, Y Zhang, Q Wu, Y Xu, O Remil, M Wei, J Wang Computer-Aided Design 93, 1-14, 2017 | 83 | 2017 |
| A cascaded approach for feature-preserving surface mesh denoising J Wang, X Zhang, Z Yu Computer-Aided Design, 2012 | 83 | 2012 |
| Consolidation of low‐quality point clouds from outdoor scenes J Wang, K Xu, L Liu, J Cao, S Liu, Z Yu, XD Gu Computer Graphics Forum 32 (5), 207-216, 2013 | 82 | 2013 |
| Mesh denoising guided by patch normal co-filtering via kernel low-rank recovery M Wei, J Huang, X Xie, L Liu, J Wang, J Qin IEEE transactions on visualization and computer graphics 25 (10), 2910-2926, 2018 | 75 | 2018 |
| Tensor voting guided mesh denoising M Wei, L Liang, WM Pang, J Wang, W Li, H Wu IEEE Transactions on Automation Science and Engineering 14 (2), 931-945, 2016 | 72 | 2016 |
| Hierarchical tunnel modeling from 3D raw LiDAR point cloud C Yi, D Lu, Q Xie, S Liu, H Li, M Wei, J Wang Computer-Aided Design 114, 143-154, 2019 | 71 | 2019 |
| Multi-patch Collaborative Point Cloud Denoising via Low-rank Recovery with Graph Constraint H Chen, M Wei, Y Sun, X Xie, J Wang IEEE transactions on visualization and computer graphics, 2019 | 69 | 2019 |
| VENet: Voting Enhancement Network for 3D Object Detection Q Xie, YK Lai, J Wu, Z Wang, D Lu, M Wei, J Wang ICCV 2021, 2021 | 60 | 2021 |
Mingqiang WeiProfessor at Nanjing University of Aeronautics and AstronauticsEmail verificata su nuaa.edu.cn