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 | 218* | 2022 |
Pointfilter: Point cloud filtering via encoder-decoder modeling D Zhang, X Lu, H Qin, Y He IEEE Transactions on Visualization and Computer Graphics, 2020 | 116 | 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 | 110 | 2022 |
Deep feature-preserving normal estimation for point cloud filtering D Lu, X Lu, Y Sun, J Wang Computer-Aided Design 125, 102860, 2020 | 91 | 2020 |
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 | 85 | 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 | 83 | 2020 |
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 | 79 | 2015 |
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 | 65 | 2017 |
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 | 52 | 2021 |
Instance-Aware Domain Generalization for Face Anti-Spoofing Q Zhou, K Zhang, T Yao, X Lu, R Yi, S Ding, L Ma IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023 | 47 | 2023 |
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 45 (7), 8954-8968, 2023 | 47 | 2023 |
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 | 45 | 2021 |
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), 3, 2020 | 44 | 2020 |
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 | 43 | 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 | 40 | 2022 |
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping J Xu, J Hou, Y Zhang, R Feng, RW Zhao, T Zhang, X Lu, S Gao IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2022 | 39 | 2022 |
AI-based carcinoma detection and classification using histopathological images: A systematic review S Prabhu, K Prasad, A Robels-Kelly, X Lu Computers in Biology and Medicine 142, 105209, 2022 | 38 | 2022 |
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 | 37 | 2020 |
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 | 34 | 2020 |
Deep detection for face manipulation D Feng, X Lu, X Lin Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 34 | 2020 |