| 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 | 64 | 2015 |
| Semi-supervised semantic segmentation via dynamic self-training and classbalanced curriculum Z Feng, Q Zhou, G Cheng, X Tan, X Lu, J Shi, L Ma arXiv preprint arXiv:2004.08514 1 (2), 5, 2020 | 42 | 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 | 34 | 2017 |
| 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 | 34 | 2017 |
| 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, 2020 | 33 | 2020 |
| Deep feature-preserving normal estimation for point cloud filtering D Lu, X Lu, Y Sun, J Wang Computer-Aided Design 125, 102860, 2020 | 32 | 2020 |
| Pointfilter: Point cloud filtering via encoder-decoder modeling D Zhang, X Lu, H Qin, Y He IEEE Transactions on Visualization and Computer Graphics, 2020 | 25 | 2020 |
| 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 | 24 | 2014 |
| 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, 108777, 2022 | 23 | 2022 |
| 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 | 22 | 2022 |
| 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), 1-34, 2020 | 20 | 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 | 19 | 2017 |
| AA‐FVDM: An accident‐avoidance full velocity difference model for animating realistic street‐level traffic in rural scenes X Lu, W Chen, M Xu, Z Wang, Z Deng, Y Ye Computer Animation and Virtual Worlds 25 (1), 83-97, 2014 | 17 | 2014 |
| 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 | 16 | 2018 |
| HDF: Hybrid Deep Features for Scene Image Representation C Sitaula, Y Xiang, A Basnet, S Aryal, X Lu International Joint Conference on Neural Networks, 2020 | 13 | 2020 |
| Indoor image representation by high-level semantic features C Sitaula, Y Xiang, Y Zhang, X Lu, S Aryal IEEE access 7, 84967-84979, 2019 | 11 | 2019 |
| 3D articulated skeleton extraction using a single consumer-grade depth camera X Lu, Z Deng, J Luo, W Chen, SK Yeung, Y He Computer Vision and Image Understanding 188, 102792, 2019 | 10 | 2019 |
| 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 | 9 | 2021 |
| 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 | 9 | 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 arXiv preprint arXiv:2108.03557, 2021 | 8 | 2021 |
Chao Zhang (張潮)Senior Lecturer, University of FukuiVerified email at u-fukui.ac.jp
