Wei Hu
Cited by
Cited by
Diffusion probabilistic models for 3d point cloud generation
S Luo, W Hu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
G Te, W Hu, Z Guo, A Zheng
ACM Multimedia, 2018
Optimized skeleton-based action recognition via sparsified graph regression
X Gao, W Hu, J Tang, J Liu, Z Guo
Proceedings of the 27th ACM International Conference on Multimedia, 601-610, 2019
Multi-resolution Graph Fourier Transform for Compression of Piecewise Smooth Images
W Hu, G Cheung, A Ortega, OC Au
Transactions on Image Processing 24 (1), 419-433, 2015
Adco: Adversarial contrast for efficient learning of unsupervised representations from self-trained negative adversaries
Q Hu, X Wang, W Hu, GJ Qi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Score-based point cloud denoising
S Luo, W Hu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Multiscale geographically and temporally weighted regression: Exploring the spatiotemporal determinants of housing prices
C Wu, F Ren, W Hu, Q Du
International Journal of Geographical Information Science 33 (3), 489-511, 2019
Differentiable manifold reconstruction for point cloud denoising
S Luo, W Hu
Proceedings of the 28th ACM international conference on multimedia, 1330-1338, 2020
Depth map denoising using graph-based transform and group sparsity
W Hu, X Li, G Cheung, O Au
2013 IEEE 15th international workshop on multimedia signal processing (MMSP …, 2013
Feature Graph Learning for 3D Point Cloud Denoising
W Hu, X Gao, G Cheung, Z Guo
Transactions on Signal Processing, 2020
Intra-Prediction and Generalized Graph Fourier Transform for Image Coding
W Hu, G Cheung, A Ortega
IEEE Signal Processing Letters 22 (11), 1913 - 1917, 2015
Self-contrastive learning with hard negative sampling for self-supervised point cloud learning
B Du, X Gao, W Hu, X Li
Proceedings of the 29th ACM International Conference on Multimedia, 3133-3142, 2021
Exploring structure-adaptive graph learning for robust semi-supervised classification
X Gao, W Hu, Z Guo
2020 ieee international conference on multimedia and expo (icme), 1-6, 2020
Edge-aware graph representation learning and reasoning for face parsing
G Te, Y Liu, W Hu, H Shi, T Mei
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Local frequency interpretation and non-local self-similarity on graph for point cloud inpainting
W Hu, Z Fu, Z Guo
IEEE Transactions on Image Processing 28 (8), 4087-4100, 2019
Depth map compression using multi-resolution graph-based transform for depth-image-based rendering
W Hu, G Cheung, X Li, O Au
2012 19th IEEE International Conference on Image Processing, 1297-1300, 2012
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
W Hu, J Pang, X Liu, D Tian, CW Lin, A Vetro
arXiv preprint arXiv:2008.01918, 2020
Non-local graph convolutional networks for skeleton-based action recognition
L Shi, Y Zhang, J Cheng, H Lu
arXiv preprint arXiv:1805.07694 1 (2), 3, 2018
Predictive generalized graph Fourier transform for attribute compression of dynamic point clouds
Y Xu, W Hu, S Wang, X Zhang, S Wang, S Ma, Z Guo, W Gao
IEEE Transactions on Circuits and Systems for Video Technology 31 (5), 1968-1982, 2020
Graph-based Dequantization of Block-Compressed Piecewise Smooth Images
MK Wei Hu, Gene Cheung
IEEE Signal Processing Letters 23 (2), 242-246, 2016
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