Qingshan Liu

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Renlong Hang （杭仁龙）Nanjing University of Information Science and TechnologyVerified email at nuist.edu.cn
Dimitris N. MetaxasBoard of Governors and Distinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
Kaihua ZhangNanjing University of Information Science and TechnologyVerified email at nuist.edu.cn
Xiao-Tong YuanNanjing UniversityVerified email at nuist.edu.cn
peng yangRutgers UniversityVerified email at cs.rutgers.edu
Jiankang DengImperial College LondonVerified email at imperial.ac.uk
Ming-Hsuan YangUniversity of California at Merced; Google DeepMindVerified email at ucmerced.edu
Yuchi HuangAscend LearningVerified email at act.org
Weishan Dong 董维山Momenta.aiVerified email at momenta.ai
Xiaoou TangThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Dacheng TaoNanyang Technological UniversityVerified email at ntu.edu.sg
Rui HuangThe Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Jun XuProfessor, Nanjing University of Information Science & Technology, ChinaVerified email at case.edu
Jing Liu 刘静Professor in Institute of Automation of the Chinese Academy Sciences (CASIA)Verified email at nlpr.ia.ac.cn
Junzhou HuangJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at ArlingtonVerified email at uta.edu
Junchi YanFIAPR/FIET/IEEE-AI2Watch, SJTU (2018-), IBM (2011-2018)Verified email at cs.sjtu.edu.cn
Jinqiao Wang 王金桥Professor, Institute of Automation,Chinese Academy of ScienceVerified email at nlpr.ia.ac.cn
Bo HuangThe University of Hong Kong, Chair ProfessorVerified email at hku.hk
Shaoting ZhangShanghai AI Lab; SenseTime ResearchVerified email at pjlab.org.cn
Lin ZhongRutgers University; Beihang UniverisityVerified email at cs.rutgers.edu

Qingshan Liu

Nanjing University of Posts and Telecommunications

Verified email at nuist.edu.cn

Image and Video Analysis Computer Vision Pattern Recognition


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1048	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	1023	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	665	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	524	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	495	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	459	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	448	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	415	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	350	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	322	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	315	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	313	2017
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	302	2020
Abnormal detection using interaction energy potentials X Cui, Q Liu, M Gao, DN Metaxas CVPR 2011, 3161-3167, 2011	291	2011
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	284	2020
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	275	2004
Image annotation via graph learning J Liu, M Li, Q Liu, H Lu, S Ma Pattern recognition 42 (2), 218-228, 2009	271	2009
] Video object segmentation by hypergraph cut Y Huang, Q Liu, D Metaxas 2009 IEEE conference on computer vision and pattern recognition, 1738-1745, 2009	262	2009
Learning deep global multi-scale and local attention features for facial expression recognition in the wild Z Zhao, Q Liu, S Wang IEEE Transactions on Image Processing 30, 6544-6556, 2021	246	2021
Hyperspectral image classification using spectral-spatial LSTMs F Zhou, R Hang, Q Liu, X Yuan Neurocomputing 328, 39-47, 2019	237	2019

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