Kun Zhan
Kun Zhan
Lanzhou University
Verified email at uts.edu.au - Homepage
Title
Cited by
Cited by
Year
New spiking cortical model for invariant texture retrieval and image processing
K Zhan, H Zhang, Y Ma
IEEE Transactions on Neural Networks 20 (12), 1980-1986, 2009
1272009
Pulse coupled neural network and digital image processing
Y Ma, L Li, K Zhan, Z Wang
Science Press, Beijing, 2008
95*2008
Applications of pulse-coupled neural networks
Y Ma, K Zhan, Z Wang
Springer & Higher Education Press, 2010
752010
Graph learning for multiview clustering
K Zhan, C Zhang, J Guan, J Wang
IEEE Transactions on Cybernetics 48 (10), 2887-2895, 2018
562018
Two-stream multi-rate recurrent neural network for video-based pedestrian re-identification
Z Zeng, Z Li, D Cheng, H Zhang, K Zhan, Y Yang
IEEE Transactions on Industrial Informatics 14 (7), 3179-3186, 2018
432018
Pulse-coupled neural networks and one-class support vector machines for geometry invariant texture retrieval
Y Ma, L Liu, K Zhan, Y Wu
Image and Vision Computing 28 (11), 1524-1529, 2010
382010
Multimodal medical image fusion framework based on simplified PCNN in nonsubsampled contourlet transform domain
N Wang, Y Ma, K Zhan, M Yuan
Journal of Multimedia 8 (3), 270-276, 2013
372013
Diverse non-negative matrix factorization for multiview data representation
J Wang, F Tian, H Yu, CH Liu, K Zhan, X Wang
IEEE Transactions on Cybernetics 48 (9), 2620-2632, 2018
342018
Spiking cortical model for multifocus image fusion
N Wang, Y Ma, K Zhan
Neurocomputing 130, 44-51, 2014
332014
Multiview consensus graph clustering
K Zhan, F Nie, J Wang, Y Yang
IEEE Transactions on Image Processing 28 (3), 1261-1270, 2019
322019
Computational mechanisms of pulse-coupled neural networks: A comprehensive review
K Zhan, J Shi, H Wang, Y Xie, Q Li
Archives of Computational Methods in Engineering 24 (3), 573–588, 2017
302017
Cross-utilizing hyperchaotic and DNA sequences for image encryption
K Zhan, D Wei, J Shi, J Yu
Journal of Electronic Imaging 26 (1), 013021, 2017
292017
Linking synaptic computation for image enhancement
K Zhan, J Shi, J Teng, Q Li, M Wang, F Lu
Neurocomputing 238, 1-12, 2017
282017
Feature-linking model for image enhancement
K Zhan, J Teng, J Shi, Q Li, M Wang
Neural Computation 28 (6), 1072-1100, 2016
242016
Rotation and scale invariant antinoise PCNN features for content-based image retrieval
J Zhang, K Zhan, Y Ma
Neural Network World 2 (07), 121-132, 2007
232007
A novel explicit multi-focus image fusion method
K Zhan, J Teng, Q Li, J Shi
Journal of Information Hiding and Multimedia Signal Processing 6 (3), 600-612, 2015
222015
Fast filtering image fusion
K Zhan, Y Xie, H Wang, Y Min
Journal of Electronic Imaging 26 (6), 063004, 2017
172017
EraseReLU: A simple way to ease the training of deep convolution neural networks
X Dong, G Kang, K Zhan, Y Yang
arXiv preprint arXiv:1709.07634, 2017
152017
Novel real-time FPGA-based R-wave detection using lifting wavelet
Y Ma, T Li, Y Ma, K Zhan
Circuits, Systems, and Signal Processing 35 (1), 281-299, 2016
152016
Multifocus image fusion using phase congruency
K Zhan, Q Li, J Teng, M Wang, J Shi
Journal of Electronic Imaging 24 (3), 033014, 2015
152015
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