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Jing-Hao Xue
Jing-Hao Xue
Professor, Department of Statistical Science, University College London
Geverifieerd e-mailadres voor ucl.ac.uk - Homepage
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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
10332019
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
4952022
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
3602021
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
3312019
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
2172000
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
1442019
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
1432018
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
1382008
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
1252018
-Tests, -Tests and Otsu's Methods for Image Thresholding
JH Xue, DM Titterington
IEEE transactions on image processing 20 (8), 2392-2396, 2011
1242011
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
1222020
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
1192021
A concise review of recent few-shot meta-learning methods
X Li, Z Sun, JH Xue, Z Ma
Neurocomputing 456, 463-468, 2021
1182021
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
1142020
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
1032018
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
1012003
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
882015
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
832012
Do unbalanced data have a negative effect on LDA?
JH Xue, DM Titterington
Pattern Recognition 41 (5), 1558-1571, 2008
812008
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
79*2023
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Artikelen 1–20