| 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 | 146 | 2015 |
| 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 |
| RGCNN: Regularized Graph CNN for Point Cloud Segmentation G Te, W Hu, Z Guo, A Zheng ACM Multimedia, 2018 | 76 | 2018 |
| 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 | 51 | 2015 |
| 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 |
| 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 |
| 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 | 32 | 2019 |
| 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 | 28* | 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 |
| 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 | 23 | 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 |
| 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 |
| Feature Graph Learning for 3D Point Cloud Denoising W Hu, X Gao, G Cheung, Z Guo Transactions on Signal Processing, 2020 | 11 | 2020 |
| SSIM-based rate-distortion optimization in H. 264 W Dai, OC Au, W Zhu, P Wan, W Hu, J Zhou 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 11 | 2014 |
| Seamless view synthesis through texture optimization W Sun, OC Au, L Xu, Y Li, W Hu IEEE Transactions on Image Processing 23 (1), 342-355, 2013 | 10 | 2013 |
| A robust interpolation-free approach for sub-pixel accuracy motion estimation W Dai, OC Au, W Zhu, W Hu, P Wan, J Li 2013 IEEE International Conference on Image Processing, 1767-1771, 2013 | 10 | 2013 |
| 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 | 9 | 2019 |
Gene CheungAssociate Professor, Department of EECS, York UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα yorku.ca
