フォロー
Lin Xu
Lin Xu
確認したメール アドレス: nyu.edu
タイトル
引用先
引用先
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
3172018
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
1132017
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
1022016
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
842020
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
532021
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
442019
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
282021
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
282019
The universal consistency of extreme learning machine
X Liu, L Xu
Neurocomputing 311, 176-182, 2018
162018
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
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
122017
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
102016
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
72019
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
EMface: detecting hard faces by exploring receptive field Pyraminds
L Cao, Y Xiao, L Xu
arXiv preprint arXiv:2105.10104, 2021
52021
Re-scale boosting for regression and classification
S Lin, Y Wang, L Xu
arXiv preprint arXiv:1505.01371, 2015
52015
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
42022
Learning capability of the truncated greedy algorithm.
L Xu, S Lin, Z Xu
Sci. China Inf. Sci. 59 (5), 052103:1-052103:15, 2016
32016
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
22022
Adaptive multi-task learning for cross domain and modal person re-identification
S Yan, J Zhao, L Xu
Neurocomputing 486, 123-134, 2022
22022
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