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Nanjun He
Nanjun He
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Verified email at hnu.edu.cn
Title
Cited by
Cited by
Year
Remote sensing scene classification using multilayer stacked covariance pooling
N He, L Fang, S Li, A Plaza, J Plaza
IEEE Transactions on Geoscience and Remote Sensing 56 (12), 6899-6910, 2018
2722018
Feature extraction with multiscale covariance maps for hyperspectral image classification
N He, ME Paoletti, JM Haut, L Fang, S Li, A Plaza, J Plaza
IEEE Transactions on Geoscience and Remote Sensing 57 (2), 755-769, 2018
2342018
Skip-connected covariance network for remote sensing scene classification
N He, L Fang, S Li, J Plaza, A Plaza
IEEE transactions on neural networks and learning systems 31 (5), 1461-1474, 2019
1962019
Scale-free convolutional neural network for remote sensing scene classification
J Xie, N He, L Fang, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6916-6928, 2019
1902019
A new spatial–spectral feature extraction method for hyperspectral images using local covariance matrix representation
L Fang, N He, S Li, AJ Plaza, J Plaza
IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3534-3546, 2018
1832018
Self-attention-based deep feature fusion for remote sensing scene classification
R Cao, L Fang, T Lu, N He
IEEE Geoscience and Remote Sensing Letters 18 (1), 43-47, 2020
1372020
Extinction profiles fusion for hyperspectral images classification
L Fang, N He, S Li, P Ghamisi, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 56 (3), 1803-1815, 2017
1222017
Mil-vt: Multiple instance learning enhanced vision transformer for fundus image classification
S Yu, K Ma, Q Bi, C Bian, M Ning, N He, Y Li, H Liu, Y Zheng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24thá…, 2021
1172021
Hybrid first and second order attention Unet for building segmentation in remote sensing images
N He, L Fang, A Plaza
Science China Information Sciences 63, 1-12, 2020
982020
mmformer: Multimodal medical transformer for incomplete multimodal learning of brain tumor segmentation
Y Zhang, N He, J Yang, Y Li, D Wei, Y Huang, Y Zhang, Z He, Y Zheng
International Conference on Medical Image Computing and Computer-Assistedá…, 2022
812022
Multiscale densely-connected fusion networks for hyperspectral images classification
J Xie, N He, L Fang, P Ghamisi
IEEE Transactions on Circuits and Systems for Video Technology 31 (1), 246-259, 2020
792020
Anomaly detection for medical images using self-supervised and translation-consistent features
H Zhao, Y Li, N He, K Ma, L Fang, H Li, Y Zheng
IEEE Transactions on Medical Imaging 40 (12), 3641-3651, 2021
752021
Unsupervised domain adaptation for medical image segmentation by disentanglement learning and self-training
Q Xie, Y Li, N He, M Ning, K Ma, G Wang, Y Lian, Y Zheng
IEEE Transactions on Medical Imaging, 2022
382022
DICDNet: deep interpretable convolutional dictionary network for metal artifact reduction in CT images
H Wang, Y Li, N He, K Ma, D Meng, Y Zheng
IEEE Transactions on Medical Imaging 41 (4), 869-880, 2021
352021
CP tensor-based compression of hyperspectral images
L Fang, N He, H Lin
JOSA A 34 (2), 252-258, 2017
342017
Multiscale CNNs ensemble based self-learning for hyperspectral image classification
L Fang, W Zhao, N He, J Zhu
IEEE Geoscience and Remote Sensing Letters 17 (9), 1593-1597, 2020
202020
A multi-task network with weight decay skip connection training for anomaly detection in retinal fundus images
W Zhang, X Sun, Y Li, H Liu, N He, F Liu, Y Zheng
International Conference on Medical Image Computing and Computer-Assistedá…, 2022
92022
Point beyond class: A benchmark for weakly semi-supervised abnormality localization in chest x-rays
H Ji, H Liu, Y Li, J Xie, N He, Y Huang, D Wei, X Chen, L Shen, Y Zheng
International Conference on Medical Image Computing and Computer-Assistedá…, 2022
62022
Covariance matrix based feature fusion for scene classification
N He, L Fang, S Li, AJ Plara
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposiumá…, 2018
62018
Improving GAN training via feature space shrinkage
H Liu, W Zhang, B Li, H Wu, N He, Y Huang, Y Li, B Ghanem, Y Zheng
arXiv preprint arXiv:2303.01559, 2023
52023
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