| 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 | 147 | 2015 |
| RGCNN: Regularized Graph CNN for Point Cloud Segmentation G Te, W Hu, Z Guo, A Zheng ACM Multimedia, 2018 | 82 | 2018 |
| 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 | 79 | 2013 |
| 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 | 58 | 2012 |
| 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 | 52 | 2015 |
| 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 | 38 | 2019 |
| Graph-based Dequantization of Block-Compressed Piecewise Smooth Images MK Wei Hu, Gene Cheung IEEE Signal Processing Letters 23 (2), 242-246, 2016 | 37* | 2016 |
| Nonlinear plasmonic frequency conversion through quasiphase matching Z Wu, X Hu, Z Yu, W Hu, F Xu, Y Lu Physical Review B 82 (15), 155107, 2010 | 36 | 2010 |
| Personal photo album compression and management R Zou, OC Au, G Zhou, W Dai, W Hu, P Wan 2013 IEEE International Symposium on Circuits and Systems (ISCAS), 1428-1431, 2013 | 34 | 2013 |
| Generalized graph convolutional networks for skeleton-based action recognition X Gao, W Hu, J Tang, P Pan, J Liu, Z Guo arXiv preprint arXiv:1811.12013, 2018 | 31* | 2018 |
| Novel temporal domain hole filling based on background modeling for view synthesis W Sun, OC Au, L Xu, Y Li, W Hu 2012 19th IEEE International Conference on Image Processing, 2721-2724, 2012 | 28 | 2012 |
| 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 | 27 | 2019 |
| Doped phosphorene for hydrogen capture: A DFT study H Zhang, W Hu, A Du, X Lu, Y Zhang, J Zhou, X Lin, Y Tang Applied Surface Science 433, 249-255, 2018 | 26 | 2018 |
| Redefining self-similarity in natural images for denoising using graph signal gradient J Pang, G Cheung, W Hu, OC Au Signal and Information Processing Association Annual Summit and Conference …, 2014 | 24 | 2014 |
| Edge-adaptive depth map coding with lifting transform on graphs YH Chao, A Ortega, W Hu, G Cheung 2015 Picture Coding Symposium (PCS), 60-64, 2015 | 20 | 2015 |
| Graph-based Joint Denoising and Super-resolution of Generalized Piecewise Smooth Images W Hu, G Cheung, X Li, OC Au IEEE International Conference on Image Processing, 2014 | 18 | 2014 |
| Depth map super-resolution using synthesized view matching for depth-image-based rendering W Hu, G Cheung, X Li, O Au 2012 IEEE International Conference on Multimedia and Expo Workshops, 605-610, 2012 | 15 | 2012 |
| Patch-based denoising method using low-rank technique and targeted database for optical coherence tomography image X Liu, Z Yang, J Wang, J Liu, K Zhang, W Hu Journal of Medical Imaging 4 (1), 014002, 2017 | 13 | 2017 |
| Feature Graph Learning for 3D Point Cloud Denoising W Hu, X Gao, G Cheung, Z Guo Transactions on Signal Processing, 2020 | 12 | 2020 |
| Dot-gnn: Domain-transferred graph neural network for group re-identification Z Huang, Z Wang, W Hu, CW Lin, S Satoh Proceedings of the 27th ACM International Conference on Multimedia, 1888-1896, 2019 | 12 | 2019 |
Gene CheungAssociate Professor, Department of EECS, York UniversityVerified email at yorku.ca
