| Ntire 2020 challenge on real-world image super-resolution: Methods and results A Lugmayr, M Danelljan, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 186 | 2020 |
| Image super resolution based on fusing multiple convolution neural networks H Ren, M El-Khamy, J Lee Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 110 | 2017 |
| Dn-resnet: Efficient deep residual network for image denoising H Ren, M El-Khamy, J Lee Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 63 | 2019 |
| Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding. H Ren, M El-Khamy, J Lee CVPR Workshops 2, 2, 2019 | 45 | 2019 |
| Object detection using edge histogram of oriented gradient H Ren, ZN Li 2014 IEEE international conference on image processing (ICIP), 4057-4061, 2014 | 39 | 2014 |
| Fast object detection using boosted co-occurrence histograms of oriented gradients H Ren, CK Heng, W Zheng, L Liang, X Chen 2010 IEEE International Conference on Image Processing, 2705-2708, 2010 | 39 | 2010 |
| CT-SRCNN: cascade trained and trimmed deep convolutional neural networks for image super resolution H Ren, M El-Khamy, J Lee 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1423-1431, 2018 | 36 | 2018 |
| Real-world super-resolution using generative adversarial networks H Ren, A Kheradmand, M El-Khamy, S Wang, D Bai, J Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 29 | 2020 |
| System and method for deep learning image super resolution M El-Khamy, J Lee, H Ren US Patent 10,489,887, 2019 | 26 | 2019 |
| Gender recognition using complexity-aware local features H Ren, ZN Li 2014 22nd International Conference on Pattern Recognition, 2389-2394, 2014 | 26 | 2014 |
| Age estimation based on complexity-aware features H Ren, ZN Li Computer Vision–ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 23 | 2015 |
| System and method for designing efficient super resolution deep convolutional neural networks by cascade network training, cascade network trimming, and dilated convolutions H Ren, M El-Khamy, J Lee US Patent 11,354,577, 2022 | 21 | 2022 |
| Object detection using generalization and efficiency balanced co-occurrence features H Ren, ZN Li Proceedings of the IEEE International Conference on Computer Vision, 46-54, 2015 | 20 | 2015 |
| Method and apparatus for video super resolution using convolutional neural network with two-stage motion compensation M El-Khamy, H Ren, J Lee US Patent 10,733,714, 2020 | 19 | 2020 |
| System and method for designing efficient super resolution deep convolutional neural networks by cascade network training, cascade network trimming, and dilated convolutions H Ren, M El-Khamy, J Lee US Patent 10,803,378, 2020 | 17 | 2020 |
| Suw-learn: Joint supervised, unsupervised, weakly supervised deep learning for monocular depth estimation H Ren, A Raj, M El-Khamy, J Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 16 | 2020 |
| Strip features for fast object detection W Zheng, H Chang, L Liang, H Ren, S Shan, X Chen IEEE transactions on cybernetics 43 (6), 1898-1912, 2013 | 16 | 2013 |
| Object detection using boosted local binaries H Ren, ZN Li Pattern Recognition 60, 793-801, 2016 | 14 | 2016 |
| System and method for deep learning image super resolution M El-Khamy, J Lee, H Ren US Patent 10,970,820, 2021 | 10 | 2021 |
| Stereo disparity estimation via joint supervised, unsupervised, and weakly supervised learning H Ren, M El-Khamy, J Lee 2020 IEEE International Conference on Image Processing (ICIP), 2760-2764, 2020 | 8 | 2020 |
Mostafa El-KhamyAlexandria University在 alexu.edu.eg 的电子邮件经过验证
