Deep learning for single image super-resolution: A brief review W Yang, X Zhang, Y Tian, W Wang, JH Xue, Q Liao IEEE Transactions on Multimedia 21 (12), 3106-3121, 2019 | 1032 | 2019 |
Gan inversion: A survey W Xia, Y Zhang, Y Yang, JH Xue, B Zhou, MH Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3121-3138, 2022 | 498 | 2022 |
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation W Xia, Y Yang, JH Xue, B Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 362 | 2021 |
Assimilation of remote sensing into crop growth models: Current status and perspectives J Huang, JL Gómez-Dans, H Huang, H Ma, Q Wu, PE Lewis, S Liang, ... Agricultural and Forest Meteorology 276, 107609, 2019 | 333 | 2019 |
Brain tissue classification of magnetic resonance images using partial volume modeling S Ruan, C Jaggi, J Xue, J Fadili, D Bloyet IEEE Transactions on Medical Imaging 19 (12), 1179-1187, 2000 | 217 | 2000 |
FV-GAN: Finger Vein Representation Using Generative Adversarial Networks W Yang, C Hui, Z Chen, JH Xue, Q Liao IEEE Transactions on Information Forensics and Security 14 (9), 2512-2524, 2019 | 144 | 2019 |
Spatial-temporal attention res-TCN for skeleton-based dynamic hand gesture recognition J Hou, G Wang, X Chen, JH Xue, R Zhu, H Yang European Conference on Computer Vision Workshops, 273-286, 2018 | 143 | 2018 |
Comment on “On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes” JH Xue, DM Titterington Neural processing letters 28 (3), 169-187, 2008 | 138 | 2008 |
Decorrelation of neutral vector variables: Theory and applications Z Ma, JH Xue, A Leijon, ZH Tan, Z Yang, J Guo IEEE transactions on neural networks and learning systems 29 (1), 129-143, 2018 | 125 | 2018 |
-Tests, -Tests and Otsu's Methods for Image Thresholding JH Xue, DM Titterington IEEE transactions on image processing 20 (8), 2392-2396, 2011 | 124 | 2011 |
Towards Impartial Multi-task Learning L Liu, Y Li, Z Kuang, JH Xue, Y Chen, W Yang, Q Liao, W Zhang International Conference on Learning Representations, 2020 | 122 | 2020 |
Group Fisher Pruning for Practical Network Compression L Liu, S Zhang, Z Kuang, A Zhou, JH Xue, X Wang, Y Chen, W Yang, ... International Conference on Machine Learning, 7021-7032, 2021 | 120 | 2021 |
A concise review of recent few-shot meta-learning methods X Li, Z Sun, JH Xue, Z Ma Neurocomputing 456, 463-468, 2021 | 118 | 2021 |
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification X Li, J Wu, Z Sun, Z Ma, J Cao, JH Xue IEEE Transactions on Image Processing 30, 1318-1331, 2020 | 114 | 2020 |
SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment W Sun, Q Liao, JH Xue, F Zhou IEEE Transactions on Image Processing 27 (9), 4232-4244, 2018 | 104 | 2018 |
An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images JH Xue, A Pizurica, W Philips, E Kerre, R Van De Walle, I Lemahieu Pattern Recognition Letters 24 (15), 2549-2560, 2003 | 102 | 2003 |
Why does rebalancing class-unbalanced data improve auc for linear discriminant analysis? JH Xue, P Hall IEEE transactions on pattern analysis and machine intelligence 37 (5), 1109-1112, 2015 | 88 | 2015 |
Ridler and Calvard’s, Kittler and Illingworth’s and Otsu’s methods for image thresholding JH Xue, YJ Zhang Pattern Recognition Letters 33 (6), 793-797, 2012 | 83 | 2012 |
Do unbalanced data have a negative effect on LDA? JH Xue, DM Titterington Pattern Recognition 41 (5), 1558-1571, 2008 | 81 | 2008 |
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments X Li, X Yang, Z Ma, JH Xue Pattern Recognition, 109381, 2023 | 80* | 2023 |