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
319 2018 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
115 2017 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
104 2016 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
91 2020 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
59 2021 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
46 2019 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
30 2021 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
28 2019 The universal consistency of extreme learning machine X Liu, L Xu
Neurocomputing 311, 176-182, 2018
16 2018 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
13 2017 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
13 2017 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
10 2016 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
7 2019 Jackson-type inequalities for spherical neural networks with doubling weights S Lin, J Zeng, L Xu, Z Xu
Neural Networks 63, 57-65, 2015
7 2015 EMface: detecting hard faces by exploring receptive field Pyraminds L Cao, Y Xiao, L Xu
arXiv preprint arXiv:2105.10104, 2021
5 2021 Re-scale boosting for regression and classification S Lin, Y Wang, L Xu
arXiv preprint arXiv:1505.01371, 2015
5 2015 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
4 2022 Learning capability of the truncated greedy algorithm. L Xu, S Lin, Z Xu
Sci. China Inf. Sci. 59 (5), 052103:1-052103:15, 2016
3 2016 Unsupervised image-to-image translation with patch pyramid dual contrastive learning for cross domain object detection Y Meng, L Zhao, L Xu
2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022
2 2022 Adaptive multi-task learning for cross domain and modal person re-identification S Yan, J Zhao, L Xu
Neurocomputing 486, 123-134, 2022
2 2022