| Dmt: Dynamic mutual training for semi-supervised learning Z Feng, Q Zhou, Q Gu, X Tan, G Cheng, X Lu, J Shi, L Ma Pattern Recognition 130, 108777, 2022 | 155* | 2022 |
| A robust scheme for feature-preserving mesh denoising X Lu, Z Deng, W Chen IEEE transactions on visualization and computer graphics 22 (3), 1181-1194, 2015 | 75 | 2015 |
| Pointfilter: Point cloud filtering via encoder-decoder modeling D Zhang, X Lu, H Qin, Y He IEEE Transactions on Visualization and Computer Graphics, 2020 | 74 | 2020 |
| Deep feature-preserving normal estimation for point cloud filtering D Lu, X Lu, Y Sun, J Wang Computer-Aided Design 125, 102860, 2020 | 62 | 2020 |
| Context-aware mixup for domain adaptive semantic segmentation Q Zhou, Z Feng, Q Gu, J Pang, G Cheng, X Lu, J Shi, L Ma IEEE Transactions on Circuits and Systems for Video Technology 33 (2), 804-817, 2022 | 61 | 2022 |
| Low rank matrix approximation for 3D geometry filtering X Lu, S Schaefer, J Luo, L Ma, Y He IEEE Transactions on Visualization and Computer Graphics 28 (4), 1835-1847, 2020 | 61 | 2020 |
| GPF: GMM-inspired feature-preserving point set filtering X Lu, S Wu, H Chen, SK Yeung, W Chen, M Zwicker IEEE transactions on visualization and computer graphics 24 (8), 2315-2326, 2017 | 57 | 2017 |
| Uncertainty-aware consistency regularization for cross-domain semantic segmentation Q Zhou, Z Feng, Q Gu, G Cheng, X Lu, J Shi, L Ma Computer Vision and Image Understanding, 2022 | 53 | 2022 |
| Robust mesh denoising via vertex pre-filtering and l1-median normal filtering X Lu, W Chen, S Schaefer Computer Aided Geometric Design 54, 49-60, 2017 | 41 | 2017 |
| Application of evolutionary and swarm optimization in computer vision: a literature survey T Nakane, N Bold, H Sun, X Lu, T Akashi, C Zhang IPSJ Transactions on Computer Vision and Applications 12, 1-34, 2020 | 35 | 2020 |
| Pit: Position-invariant transform for cross-fov domain adaptation Q Gu, Q Zhou, M Xu, Z Feng, G Cheng, X Lu, J Shi, L Ma Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 31 | 2021 |
| DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning S Fung, X Lu, C Zhang, CT Li The International Joint Conference on Neural Networks (IJCNN 2021), 2021 | 29 | 2021 |
| Mutual information driven federated learning MP Uddin, Y Xiang, X Lu, J Yearwood, L Gao IEEE Transactions on Parallel and Distributed Systems 32 (7), 1526-1538, 2020 | 27 | 2020 |
| Deep detection for face manipulation D Feng, X Lu, X Lin Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 26 | 2020 |
| An efficient approach for feature-preserving mesh denoising X Lu, X Liu, Z Deng, W Chen Optics and Lasers in Engineering 90, 186-195, 2017 | 26 | 2017 |
| Domain Adaptive Semantic Segmentation with Regional Contrastive Consistency Regularization Q Zhou, C Zhuang, X Lu, L Ma IEEE International Conference on Multimedia and Expo (ICME2022); arXiv …, 2022 | 25 | 2022 |
| A personality model for animating heterogeneous traffic behaviors X Lu, Z Wang, M Xu, W Chen, Z Deng Computer animation and virtual worlds 25 (3-4), 361-371, 2014 | 25 | 2014 |
| Self-adversarial disentangling for specific domain adaptation Q Zhou, Q Gu, J Pang, X Lu, L Ma IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 23 | 2023 |
| Multi-label zero-shot learning with graph convolutional networks G Ou, G Yu, C Domeniconi, X Lu, X Zhang Neural Networks 132, 333-341, 2020 | 23 | 2020 |
| Unsupervised articulated skeleton extraction from point set sequences captured by a single depth camera X Lu, H Chen, SK Yeung, Z Deng, W Chen Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 23 | 2018 |
