Zehan Wang
Zehan Wang
Verified email at twitter.com
Title
Cited by
Cited by
Year
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
72312017
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
34092016
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
4332017
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
1262015
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
1182017
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
1072016
Geodesic Patch-based Segmentation
Z Wang, K Bhatia, B Glocker, A de Marvao, T Dawes, K Misawa, K Mori, ...
832014
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
552019
Machine Learning for Visual Processing
Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz
US Patent App. 15/679,984, 2017
462017
Photo-realistic single image super-resolution using a generative adversarial network. arXiv 2016
C Ledig, L Theis, F Huszár, J Caballero, A Cunningham, A Acosta, ...
arXiv preprint arXiv:1609.04802, 0
39
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
362017
Patch-based segmentation without registration: application to knee MRI
Z Wang, C Donoghue, D Rueckert
International Workshop on Machine Learning in Medical Imaging, 98-105, 2013
312013
Training end-to-end video processes
Z Wang, RD Bishop, F Huszar, L Theis
US Patent 10,666,962, 2020
232020
Online Training of Hierarchical Algorithms
Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz
US Patent App. 15/679,660, 2017
212017
Visual processing using temporal and spatial interpolation
Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz
US Patent 10,630,996, 2020
182020
Offline training of hierarchical algorithms
Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz
US Patent 10,904,541, 2021
152021
Enhancement of visual data
Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz
US Patent 10,523,955, 2019
152019
Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework
Z Wang, R Wolz, T Tong, D Rueckert
Medical Computer Vision. Recognition Techniques and Applications in Medical …, 2013
152013
Enhancing visual data using strided convolutions
Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz
US Patent 10,582,205, 2020
122020
Accelerating machine optimisation processes
Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz
US Patent 10,516,890, 2019
122019
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