Single image super-resolution with non-local means and steering kernel regression K Zhang, X Gao, D Tao, X Li IEEE Transactions on Image Processing 21 (11), 4544-4556, 2012 | 687 | 2012 |
Image super-resolution with sparse neighbor embedding X Gao, K Zhang, D Tao, X Li IEEE Transactions on Image Processing 21 (7), 3194-3205, 2012 | 388 | 2012 |
Learning Multiple Linear Mappings for Efficient Single Image Super-Resolution XL Kaibing Zhang, Dacheng Tao,Xinbo Gao IEEE TRANSACTIONS ON IMAGE PROCESSING 24 (3), 846-861, 2015 | 243 | 2015 |
Joint learning for single-image super-resolution via a coupled constraint X Gao, K Zhang, D Tao, X Li IEEE Transactions on Image Processing 21 (2), 469-480, 2011 | 221 | 2011 |
Multi-scale dictionary for single image super-resolution K Zhang, X Gao, D Tao, X Li 2012 IEEE conference on computer vision and pattern recognition, 1114-1121, 2012 | 175 | 2012 |
Single image super-resolution with multiscale similarity learning K Zhang, X Gao, D Tao, X Li IEEE transactions on neural networks and learning systems 24 (10), 1648-1659, 2013 | 165 | 2013 |
Structured optimal graph based sparse feature extraction for semi-supervised learning Z Liu, Z Lai, W Ou, K Zhang, R Zheng Signal Processing 170, 107456, 2020 | 150 | 2020 |
Partially supervised neighbor embedding for example-based image super-resolution K Zhang, X Gao, X Li, D Tao IEEE Journal of Selected Topics in Signal Processing 5 (2), 230-239, 2010 | 150 | 2010 |
A unified learning framework for single image super-resolution J Yu, X Gao, D Tao, X Li, K Zhang IEEE Transactions on Neural networks and Learning systems 25 (4), 780-792, 2013 | 128 | 2013 |
Zernike-moment-based image super resolution X Gao, Q Wang, X Li, D Tao, K Zhang IEEE Transactions on Image Processing 20 (10), 2738-2747, 2011 | 108 | 2011 |
Coarse-to-fine learning for single-image super-resolution K Zhang, D Tao, X Gao, X Li, J Li IEEE transactions on neural networks and learning systems 28 (5), 1109-1122, 2016 | 69 | 2016 |
Fabric defect detection using salience metric for color dissimilarity and positional aggregation K Zhang, Y Yan, P Li, J Jing, X Liu, Z Wang IEEE Access 6, 49170-49181, 2018 | 67 | 2018 |
Similarity constraints-based structured output regression machine: An approach to image super-resolution C Deng, J Xu, K Zhang, D Tao, X Gao, X Li IEEE transactions on neural networks and learning systems 27 (12), 2472-2485, 2015 | 52 | 2015 |
Yarn-dyed fabric defect classification based on convolutional neural network J Jing, A Dong, P Li, K Zhang Optical Engineering 56 (9), 093104-093104, 2017 | 51 | 2017 |
Single Image Super-resolution Using Active-sampling Gaussian Process Regression H Wang, X Gao, K Zhang, J Li IEEE, 2015 | 51 | 2015 |
Multi-branch and progressive network for low-light image enhancement K Zhang, C Yuan, J Li, X Gao, M Li IEEE Transactions on Image Processing 32, 2295-2308, 2023 | 42 | 2023 |
Discriminative sparse embedding based on adaptive graph for dimension reduction Z Liu, K Shi, K Zhang, W Ou, L Wang Engineering Applications of Artificial Intelligence 94, 103758, 2020 | 41 | 2020 |
PTANet: Triple attention network for point cloud semantic segmentation H Cheng, J Lu, M Luo, W Liu, K Zhang Engineering Applications of Artificial Intelligence 102, 104239, 2021 | 36 | 2021 |
Manifold transfer subspace learning based on double relaxed discriminative regression Z Liu, F Zhu, K Zhang, Z Lai, H Huo Artificial Intelligence Review 56 (Suppl 1), 959-981, 2023 | 35 | 2023 |
Single image super-resolution using regularization of non-local steering kernel regression K Zhang, X Gao, J Li, H Xia Signal Processing 123, 53-63, 2016 | 34 | 2016 |