| A comprehensive survey on point cloud registration X Huang, G Mei, J Zhang, R Abbas arXiv preprint arXiv:2103.02690, 2021 | 247 | 2021 |
| Feature-metric registration: A fast semi-supervised approach for robust point cloud registration without correspondences X Huang, G Mei, J Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 225 | 2020 |
| Compressive-sensing-based structure identification for multilayer networks G Mei, X Wu, Y Wang, M Hu, JA Lu, G Chen IEEE transactions on cybernetics 48 (2), 754-764, 2017 | 146 | 2017 |
| Finite‐time stabilization of complex dynamical networks via optimal control G Mei, X Wu, D Ning, JA Lu Complexity 21 (S1), 417-425, 2016 | 85 | 2016 |
| Robust reconstruction of continuously time-varying topologies of weighted networks J Liu, G Mei, X Wu, J Lü IEEE Transactions on Circuits and Systems I: Regular Papers 65 (9), 2970-2982, 2018 | 30 | 2018 |
| Overlap-guided Gaussian Mixture Model for Point Cloud Registration G Mei, F Poiesi, C Saltori, J Zhang, E Ricci, N Sebe 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 | 17 | 2023 |
| Identifying structures of continuously-varying weighted networks G Mei, X Wu, G Chen, J Lu Scientific reports 6 (1), 26649, 2016 | 17 | 2016 |
| Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration G Mei, H Tang, X Huang, W Wang, J Liu, J Zhang, LV Gool, Q Wu 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 15 | 2023 |
| Cross-source point cloud registration: Challenges, progress and prospects X Huang, G Mei, J Zhang Neurocomputing, 126383, 2023 | 12 | 2023 |
| Robust real-world point cloud registration by inlier detection X Huang, Y Wang, S Li, G Mei, Z Xu, Y Wang, J Zhang, M Bennamoun Computer Vision and Image Understanding 224, 103556, 2022 | 11 | 2022 |
| COTReg: Coupled optimal transport based point cloud registration G Mei, X Huang, L Yu, J Zhang, M Bennamoun arXiv preprint arXiv:2112.14381, 2021 | 11 | 2021 |
| Overlap-Guided Coarse-to-Fine Correspondence Prediction for Point Cloud Registration G Mei, X Huang, J Zhang, Q Wu 2022 IEEE International Conference on Multimedia and Expo (ICME Oral), 1-6, 2022 | 10 | 2022 |
| Point Cloud Registration with Self-supervised Feature Learning and Beam Search G Mei 2021 Digital Image Computing: Techniques and Applications (DICTA), 01-08, 2021 | 8 | 2021 |
| Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting G Mei, L Yu, Q Wu, J Zhang, B Mohammed arXiv preprint arXiv:2202.02543, 2022 | 7 | 2022 |
| Partial Point Cloud Registration via Soft Segmentation G Mei, X Huang, J Zhang, Q Wu 2022 IEEE International Conference on Image Processing (IEEE ICIP), 2022 | 6 | 2022 |
| Unsupervised Point Cloud Pre-training via Contrasting and Clustering G Mei, X Huang, J Liu, J Zhang, Q Wu 2022 IEEE International Conference on Image Processing (IEEE ICIP), 2022 | 5 | 2022 |
| Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding G Mei, C Saltori, F Poiesi, J Zhang, E Ricci, N Sebe, Q Wu 2022 British Machine Vision Conference (BMVC Oral), 2022 | 4 | 2022 |
| Genreg: Deep generative method for fast point cloud registration X Huang, Z Xu, G Mei, S Li, J Zhang, Y Zuo, Y Wang arXiv preprint arXiv:2111.11783, 2021 | 2 | 2021 |
| Zero-Shot Point Cloud Registration W Wang, G Mei, B Ren, X Huang, F Poiesi, L Van Gool, N Sebe, B Lepri arXiv preprint arXiv:2312.03032, 2023 | 1 | 2023 |
| Point Cloud Pre-training with Diffusion Models X Zheng, X Huang, G Mei, Y Hou, Z Lyu, B Dai, W Ouyang, Y Gong 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 1 | 2023 |
Xiaoshui HuangShanghai AI LaboratoryBestätigte E-Mail-Adresse bei pjlab.org.cn
