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Lin Xu
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Hyperspectral image classification with Markov random fields and a convolutional neural network
X Cao, F Zhou, L Xu, D Meng, Z Xu, J Paisley
IEEE Transactions on image processing 27 (5), 2354-2367, 2018
2382018
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification
X Cao, L Xu, D Meng, Q Zhao, Z Xu
Neurocomputing 226, 90-100, 2017
982017
Re-scale AdaBoost for attack detection in collaborative filtering recommender systems
Z Yang, L Xu, Z Cai, Z Xu
Knowledge-Based Systems 100, 74-88, 2016
842016
Polarimetric SAR image semantic segmentation with 3D discrete wavelet transform and Markov random field
H Bi, L Xu, X Cao, Y Xue, Z Xu
IEEE transactions on image processing 29, 6601-6614, 2020
412020
Mvp matching: A maximum-value perfect matching for mining hard samples, with application to person re-identification
H Sun, Z Chen, S Yan, L Xu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
262019
Sparsity-enhanced convolutional decomposition: A novel tensor-based paradigm for blind hyperspectral unmixing
J Yao, D Hong, L Xu, D Meng, J Chanussot, Z Xu
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021
182021
Learning with batch-wise optimal transport loss for 3d shape recognition
L Xu, H Sun, Y Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
172019
Polsar image classification based on three-dimensional wavelet texture features and Markov random field
H Bi, L Xu, X Cao, Z Xu
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
132017
The universal consistency of extreme learning machine
X Liu, L Xu
Neurocomputing 311, 176-182, 2018
122018
PhD learning: Learning with pompeiu-hausdorff distances for video-based vehicle re-identification
J Zhao, F Qi, G Ren, L Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
82021
Shrinkage Degree in -Rescale Boosting for Regression
L Xu, S Lin, Y Wang, Z Xu
IEEE Transactions on Neural Networks and Learning Systems 28 (8), 1851-1864, 2016
82016
Jackson-type inequalities for spherical neural networks with doubling weights
S Lin, J Zeng, L Xu, Z Xu
Neural Networks 63, 57-65, 2015
72015
HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning
S Yan, J Xu, Y Liu, L Xu
International Joint Conferences on Artificial Intelligence, 5342-5348, 2019
52019
Greedy criterion in orthogonal greedy learning
L Xu, S Lin, J Zeng, X Liu, Y Fang, Z Xu
IEEE transactions on cybernetics 48 (3), 955-966, 2017
52017
Re-scale boosting for regression and classification
S Lin, Y Wang, L Xu
arXiv preprint arXiv:1505.01371, 2015
32015
EMface: Detecting Hard Faces by Exploring Receptive Field Pyraminds
L Cao, Y Xiao, L Xu
arXiv preprint arXiv:2105.10104, 2021
22021
LPCC-Net: RGB Guided Local Point Cloud Completion for Outdoor 3D Object Detection
Y Wei, Y Xiao, Y Guo, S Liu, L Xu
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
12021
OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-Aware Few-Shot Unsupervised Image-to-Image Translation
L Zhao, Y Meng, L Xu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3426-3435, 2022
2022
Adaptive multi-task learning for cross domain and modal person re-identification
S Yan, J Zhao, L Xu
Neurocomputing 486, 123-134, 2022
2022
IDEAL: Independent Domain Embedding Augmentation Learning
Z Chen, G Yao, W Ma, L Xu
arXiv preprint arXiv:2105.10112, 2021
2021
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