Xuequan Lu
Xuequan Lu
Associate Professor (North American System)
Потвърден имейл адрес: latrobe.edu.au - Начална страница
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
Pointfilter: Point cloud filtering via encoder-decoder modeling
D Zhang, X Lu, H Qin, Y He
IEEE Transactions on Visualization and Computer Graphics, 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
Deep feature-preserving normal estimation for point cloud filtering
D Lu, X Lu, Y Sun, J Wang
Computer-Aided Design 125, 102860, 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
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
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
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
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
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
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
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
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
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
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
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
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
Deep detection for face manipulation
D Feng, X Lu, X Lin
Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020
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
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
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