Qingshan Liu
Qingshan Liu
Nanjing University of Posts and Telecommunications
Geverifieerd e-mailadres voor nuist.edu.cn
Geciteerd door
Geciteerd door
Fast visual tracking via dense spatio-temporal context learning
K Zhang, L Zhang, Q Liu, D Zhang, MH Yang
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
Stacked sparse autoencoder (SSAE) for nuclei detection on breast cancer histopathology images
J Xu, L Xiang, Q Liu, H Gilmore, J Wu, J Tang, A Madabhushi
IEEE transactions on medical imaging 35 (1), 119-130, 2015
Learning multiscale active facial patches for expression analysis
L Zhong, Q Liu, P Yang, J Huang, DN Metaxas
IEEE transactions on cybernetics 45 (8), 1499-1510, 2014
Face detection using improved LBP under Bayesian framework
H Jin, Q Liu, H Lu, X Tong
Third International Conference on Image and Graphics (ICIG'04), 306-309, 2004
Cascaded recurrent neural networks for hyperspectral image classification
R Hang, Q Liu, D Hong, P Ghamisi
IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5384-5394, 2019
A nonlinear approach for face sketch synthesis and recognition
Q Liu, X Tang, H Jin, H Lu, S Ma
2005 IEEE Computer Society conference on computer vision and pattern …, 2005
Solving the small sample size problem of LDA
R Huang, Q Liu, H Lu, S Ma
2002 international conference on pattern recognition 3, 29-32, 2002
Robust visual tracking via convolutional networks without training
K Zhang, Q Liu, Y Wu, MH Yang
IEEE Transactions on Image Processing 25 (4), 1779-1792, 2016
Image retrieval via probabilistic hypergraph ranking
Y Huang, Q Liu, S Zhang, DN Metaxas
2010 IEEE computer society conference on computer vision and pattern …, 2010
Stacked hourglass network for robust facial landmark localisation
J Yang, Q Liu, K Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Spatiotemporal satellite image fusion using deep convolutional neural networks
H Song, Q Liu, G Wang, R Hang, B Huang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
Bidirectional-convolutional LSTM based spectral-spatial feature learning for hyperspectral image classification
Q Liu, F Zhou, R Hang, X Yuan
Remote Sensing 9 (12), 1330, 2017
Abnormal detection using interaction energy potentials
X Cui, Q Liu, M Gao, DN Metaxas
CVPR 2011, 3161-3167, 2011
Improving kernel Fisher discriminant analysis for face recognition
Q Liu, H Lu, S Ma
IEEE transactions on circuits and systems for video technology 14 (1), 42-49, 2004
Image annotation via graph learning
J Liu, M Li, Q Liu, H Lu, S Ma
Pattern recognition 42 (2), 218-228, 2009
Hyperspectral image classification with attention-aided CNNs
R Hang, Z Li, Q Liu, P Ghamisi, SS Bhattacharyya
IEEE Transactions on Geoscience and Remote Sensing 59 (3), 2281-2293, 2020
Classification of hyperspectral and LiDAR data using coupled CNNs
R Hang, Z Li, P Ghamisi, D Hong, G Xia, Q Liu
IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4939-4950, 2020
] Video object segmentation by hypergraph cut
Y Huang, Q Liu, D Metaxas
2009 IEEE conference on computer vision and pattern recognition, 1738-1745, 2009
Hyperspectral image classification using spectral-spatial LSTMs
F Zhou, R Hang, Q Liu, X Yuan
Neurocomputing 328, 39-47, 2019
Face recognition using kernel-based fisher discriminant analysis
Q Liu, R Huang, H Lu, S Ma
Proceedings of Fifth IEEE International Conference on Automatic Face Gesture …, 2002
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Artikelen 1–20