Peng Ren 任鹏
Peng Ren 任鹏
Professor, College of Oceanography and Space Informatics, China University of Petroleum
Adresse e-mail validée de upc.edu.cn
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Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework
X Yu, X Wu, C Luo, P Ren
GIScience & Remote Sensing 54 (5), 741-758, 2017
1212017
Graph characterization via Ihara coefficients
P Ren, RC Wilson, ER Hancock
IEEE Transactions on Neural Networks 22 (2), 233-245, 2010
862010
Multiscale visual attention networks for object detection in VHR remote sensing images
C Wang, X Bai, S Wang, J Zhou, P Ren
IEEE Geoscience and Remote Sensing Letters 16 (2), 310-314, 2018
842018
Quantum walks, Ihara zeta functions and cospectrality in regular graphs
P Ren, T Aleksić, D Emms, RC Wilson, ER Hancock
Quantum Information Processing 10 (3), 405-417, 2011
532011
Partial randomness hashing for large-scale remote sensing image retrieval
P Li, P Ren
IEEE Geoscience and Remote Sensing Letters 14 (3), 464-468, 2017
452017
Data-dependent hashing based on p-stable distribution
X Bai, H Yang, J Zhou, P Ren, J Cheng
IEEE Transactions on Image Processing 23 (12), 5033-5046, 2014
402014
Object classification via feature fusion based marginalized kernels
X Bai, C Liu, P Ren, J Zhou, H Zhao, Y Su
IEEE Geoscience and Remote Sensing Letters 12 (1), 8-12, 2014
322014
Region-wise deep feature representation for remote sensing images
P Li, P Ren, X Zhang, Q Wang, X Zhu, L Wang
Remote Sensing 10 (6), 871, 2018
312018
A vision-aided approach to perching a bioinspired unmanned aerial vehicle
C Luo, L Yu, P Ren
IEEE Transactions on Industrial Electronics 65 (5), 3976-3984, 2017
302017
Quantum kernels for unattributed graphs using discrete-time quantum walks
L Bai, L Rossi, L Cui, Z Zhang, P Ren, X Bai, E Hancock
Pattern Recognition Letters 87, 96-103, 2017
302017
A polynomial characterization of hypergraphs using the ihara zeta function
P Ren, T Aleksić, RC Wilson, ER Hancock
Pattern Recognition 44 (9), 1941-1957, 2011
262011
Aerial image super resolution via wavelet multiscale convolutional neural networks
T Wang, W Sun, H Qi, P Ren
IEEE Geoscience and Remote Sensing Letters 15 (5), 769-773, 2018
242018
Oil Spill Segmentation via Adversarial-Divergence Learning
X Yu, H Zhang, C Luo, H Qi, P Ren
IEEE Transactions on Geoscience and Remote Sensing 56 (9), 4973-4988, 2018
212018
Band weighting via maximizing interclass distance for hyperspectral image classification
C Yan, X Bai, P Ren, L Bai, W Tang, J Zhou
IEEE Geoscience and Remote Sensing Letters 13 (7), 922-925, 2016
212016
A hypergraph kernel from isomorphism tests
L Bai, P Ren, ER Hancock
2014 22nd International Conference on Pattern Recognition, 3880-3885, 2014
212014
Ranking the local invariant features for the robust visual saliencies
S Xia, P Ren, ER Hancock
2008 19th International Conference on Pattern Recognition, 1-4, 2008
182008
A graph kernel from the depth-based representation
L Bai, P Ren, X Bai, ER Hancock
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2014
172014
Adaptive object retrieval with kernel reconstructive hashing
H Yang, X Bai, J Zhou, P Ren, Z Zhang, J Cheng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
172014
Spectral embedding of feature hypergraphs
P Ren, RC Wilson, ER Hancock
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2008
172008
Deep adversarial learning in intrusion detection: A data augmentation enhanced framework
H Zhang, X Yu, P Ren, C Luo, G Min
arXiv preprint arXiv:1901.07949, 2019
152019
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