Photo-realistic single image super-resolution using a generative adversarial network C Ledig, L Theis, F Huszár, J Caballero, A Cunningham, A Acosta, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 13791 | 2017 |
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network W Shi, J Caballero, F Huszár, J Totz, AP Aitken, R Bishop, D Rueckert, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 7829 | 2016 |
Real-time video super-resolution with spatio-temporal networks and motion compensation J Caballero, C Ledig, A Aitken, A Acosta, J Totz, Z Wang, W Shi Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 870 | 2017 |
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) Institute of Electrical and Electronics Engineers IEEE, 2022 | 679 | 2022 |
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize A Aitken, C Ledig, L Theis, J Caballero, Z Wang, W Shi arXiv preprint arXiv:1707.02937, 2017 | 212 | 2017 |
Is the deconvolution layer the same as a convolutional layer? W Shi, J Caballero, L Theis, F Huszar, A Aitken, C Ledig, Z Wang arXiv preprint arXiv:1609.07009, 2016 | 193 | 2016 |
Super resolution using a generative adversarial network W Shi, C Ledig, Z Wang, L Theis, F Huszar US Patent 11,024,009, 2021 | 173 | 2021 |
Discriminative dictionary learning for abdominal multi-organ segmentation T Tong, R Wolz, Z Wang, Q Gao, K Misawa, M Fujiwara, K Mori, JV Hajnal, ... Medical image analysis 23 (1), 92-104, 2015 | 169 | 2015 |
Enhancing visual data using and augmenting model libraries Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz US Patent 10,499,069, 2019 | 106 | 2019 |
Training end-to-end video processes Z Wang, RD Bishop, F Huszar, L Theis US Patent 10,681,361, 2020 | 97 | 2020 |
Geodesic Patch-based Segmentation Z Wang, K Bhatia, B Glocker, A de Marvao, T Dawes, K Misawa, K Mori, ... | 86 | 2014 |
Machine learning for visual processing Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz US Patent 11,528,492, 2022 | 69 | 2022 |
Photo-realistic single image super-resolution using a generative adversarial network. arXiv 2016 C Ledig, L Theis, F Huszar, J Caballero, A Cunningham, A Acosta, ... arXiv preprint arXiv:1609.04802, 2016 | 68 | 2016 |
Real-time video super-resolution with spatio-temporal networks and motion compensation J Caballero, C Ledig, A Aitken, AAA Diaz, L Theis, F Huszar, J Totz, ... US Patent 10,701,394, 2020 | 57 | 2020 |
Frame interpolation with multi-scale deep loss functions and generative adversarial networks J Van Amersfoort, W Shi, A Acosta, F Massa, J Totz, Z Wang, J Caballero arXiv preprint arXiv:1711.06045, 2017 | 55 | 2017 |
Online Training of Hierarchical Algorithms Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz US Patent App. 15/679,660, 2017 | 43 | 2017 |
Training end-to-end video processes Z Wang, RD Bishop, F Huszar, L Theis US Patent 10,666,962, 2020 | 38 | 2020 |
Active learning system F Huszar, P Berkes, Z Wang US Patent App. 15/876,906, 2018 | 37 | 2018 |
Generative methods of super resolution Z Wang, W Shi, F Huszar, RD Bishop US Patent 10,692,185, 2020 | 34 | 2020 |
Patch-based segmentation without registration: application to knee MRI Z Wang, C Donoghue, D Rueckert Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013 …, 2013 | 33 | 2013 |