Nanjun He
Nanjun He
Researcher in Jarvis Lab, Tencent
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
1292018
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
1172018
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
1092018
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
782019
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
772017
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
452019
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
342020
CP tensor-based compression of hyperspectral images
L Fang, N He, H Lin
JOSA A 34 (2), 252-258, 2017
222017
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 (4), 1-12, 2020
212020
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
112020
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
62020
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
42018
High-order self-attention network for remote sensing scene classification
N He, L Fang, Y Li, A Plaza
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposiumá…, 2019
32019
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, 2021
12021
Hyperspectral images classification by fusing extinction profiles feature
N He, L Fang, S Li, P Ghamisi, JA Benediktsson
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSSá…, 2017
12017
Deep Reinforcement Exemplar Learning for Annotation Refinement
Y Li, N He, S Peng, K Ma, Y Zheng
International Conference on Medical Image Computing and Computer-Assistedá…, 2021
2021
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
International Conference on Medical Image Computing and Computer-Assistedá…, 2021
2021
HFSA-Unet
N He, L Fang, A Plaza
Sci China Inf Sci, for review, 0
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