Xuequan Lu
Xuequan Lu
Assistant Professor, Deakin University
Verified email at deakin.edu.au - Homepage
Cited by
Cited by
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
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
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
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
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
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
Semi-supervised semantic segmentation via dynamic self-training and classbalanced curriculum
Z Feng, Q Zhou, G Cheng, X Tan, J Shi, L Ma
arXiv preprint arXiv:2004.08514 1 (2), 5, 2020
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
Unsupervised Articulated Skeleton Extraction from Point Set Sequences Captured by a Single Depth Camera
X Lu, H Chen, SK Yeung, Z Deng, W Chen
AAAI-2018, 2018
Indoor image representation by high-level semantic features
C Sitaula, Y Xiang, Y Zhang, X Lu, S Aryal
IEEE access 7, 84967-84979, 2019
Adaptive-AR model with drivers’ prediction for traffic simulation
X Lu, M Xu, W Chen, Z Wang, A El Rhalibi
International Journal of Computer Games Technology 2013, 2013
Deep feature-preserving normal estimation for point cloud filtering
D Lu, X Lu, Y Sun, J Wang
Computer-Aided Design 125, 102860, 2020
Explicit facial expression transfer via fine-grained semantic representations
Z Shao, H Zhu, J Tang, X Lu, L Ma
IEEE Transactions on Image Processing, 2021
Tag-based semantic features for scene image classification
C Sitaula, Y Xiang, A Basnet, S Aryal, X Lu
International Conference on Neural Information Processing, 90-102, 2019
Unsupervised deep features for privacy image classification
C Sitaula, Y Xiang, S Aryal, X Lu
Pacific-Rim Symposium on Image and Video Technology, 404-415, 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
An original-stream based solution for smoothly replaying high-definition videos in desktop virtualization systems
K Su, Z Wang, X Lu, W Chen
Journal of Visual Languages & Computing 25 (6), 676-683, 2014
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
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
Deep Detection for Face Manipulation
D Feng, X Lu, X Lin
International Conference on Neural Information Processing, 316-323, 2020
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