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Fang Liu 0011
Person information
- affiliation: Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China
- affiliation (PhD 2002): Huazhong University of Science and Technology, School of Information Science and Technology, Wuhan, China
Other persons with the same name
- Fang Liu — disambiguation page
- Fang Liu 0001
— Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
- Fang Liu 0002
- Fang Liu 0003
- Fang Liu 0004
- Fang Liu 0005
- Fang Liu 0006
- Fang Liu 0007 — National Library of Medicine, Bethesda, MD, USA
- Fang Liu 0008
- Fang Liu 0009
- Fang Liu 0010 — Zhejiang University, Institute of Microelectronics and Optoelectronics, China
- Fang Liu 0012
- Fang Liu 0013
- Fang Liu 0014
- Fang Liu 0015
- Fang Liu 0016
- Fang Liu 0017
- Fang Liu 0018
- Fang Liu 0019 — Microsoft, Redmond, WA, USA (and 1 more)
- Fang Liu 0020 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Fang Liu 0021
- Fang Liu 0022
- Fang Liu 0023
- Fang Liu 0024 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Fang Liu 0025 — University of Texas - Pan American, Department of Computer Science, Edinburg, TX, USA (and 1 more)
- Fang Liu 0026
- Fang Liu 0027 — Massachusetts Institute of Technology, Media Laboratory, Cambridge, MA, USA
- Fang (Cherry) Liu
- Fang Liu 0029 — Duke University, Department of Electrical & Computer Engineering, Durham, NC, USA
- Fang Liu 0030
- Fang Liu 0031
- Fang Liu 0032
- Fang Liu 0033
- Fang Liu 0034
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2020 – today
- 2021
- [j28]Mingli Wang, Xinwei Jiang, Junbin Gao, Tianjiang Wang, Chunlong Hu, Fang Liu, Qi Feng:
Minimum unbiased risk estimate based 2DPCA for color image denoising. Neurocomputing 440: 127-144 (2021)
2010 – 2019
- 2019
- [j27]Husein S. Naji Alwerfali
A Multilevel Image Thresholding Based on Hybrid Salp Swarm Algorithm and Fuzzy Entropy. IEEE Access 7: 181405-181422 (2019) - 2018
- [j26]Zhiqiang Zhao, Ping Feng, Jingjuan Guo, Caihong Yuan
A hybrid tracking framework based on kernel correlation filtering and particle filtering. Neurocomputing 297: 40-49 (2018) - [j25]Ping Feng, Chunyan Xu
A deep features based generative model for visual tracking. Neurocomputing 308: 245-254 (2018) - [j24]Caihong Yuan, Chunyan Xu, Tianjiang Wang, Fang Liu, Zhiqiang Zhao, Ping Feng, Jingjuan Guo:
Deep multi-instance learning for end-to-end person re-identification. Multim. Tools Appl. 77(10): 12437-12467 (2018) - [j23]Qi Feng, Tianjiang Wang, Fang Liu, Hefei Ling:
Research on multi-camera information fusion method for intelligent perception. Multim. Tools Appl. 77(12): 15003-15026 (2018) - [j22]Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu:
Bi-branch deconvolution-based convolutional neural network for image classification. Multim. Tools Appl. 77(23): 30233-30250 (2018) - 2017
- [j21]Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Caihong Yuan, Tianjiang Wang, Kui Duan:
Sparse representation combined with context information for visual tracking. Neurocomputing 225: 92-102 (2017) - [j20]Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu, Caihong Yuan, Jingjuan Guo, Zhijian Zhao, Zongmin Cui:
Dual-scale structural local sparse appearance model for robust object tracking. Neurocomputing 237: 101-113 (2017) - [j19]Zhiqiang Zhao
Remarkable local resampling based on particle filter for visual tracking. Multim. Tools Appl. 76(1): 835-860 (2017) - 2016
- [j18]Meng Chen, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng:
Modeling spatio-temporal layout with Lie Algebrized Gaussians for action recognition. Multim. Tools Appl. 75(17): 10335-10355 (2016) - [j17]Jie Sun, Songfeng Lu, Fang Liu:
On the General Class of Models of Adiabatic Evolution. Open Syst. Inf. Dyn. 23(3): 1650016:1-1650016:9 (2016) - 2015
- [j16]Gwang-Min Choe, Tianjiang Wang, Fang Liu, Suchol Hyon, Jong Won Ha:
Particle filter with spline resampling and global transition model. IET Comput. Vis. 9(2): 184-197 (2015) - [j15]Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So:
Visual tracking based on particle filter with spline resampling. Multim. Tools Appl. 74(17): 7195-7220 (2015) - [j14]Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Manhung Jong:
An advanced association of particle filtering and kernel based object tracking. Multim. Tools Appl. 74(18): 7595-7619 (2015) - [j13]Gwang-Min Choe, Tianjiang Wang, Fang Liu, Gwangho Li, Hyongwang O, Songryong Kim:
Moving object tracking based on geogram. Multim. Tools Appl. 74(21): 9771-9794 (2015) - [j12]Jie Sun, Songfeng Lu, Fang Liu:
A Modified Adiabatic Quantum Algorithm for Evaluation of Boolean Functions. Open Syst. Inf. Dyn. 22(3): 1550018:1-1550018:6 (2015) - [j11]Jie Sun, Songfeng Lu, Fang Liu, Qing Zhou, Zhigang Zhang:
Generalized relation between fidelity and quantum adiabatic evolution. Quantum Inf. Process. 14(6): 1757-1765 (2015) - 2014
- [j10]Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng:
Robust Differential Circle Patterns based on fuzzy membership-pooling: A novel local image descriptor. Neurocomputing 144: 378-390 (2014) - [j9]Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So, Chol-Ung Pak:
Anadvanced integrated framework for moving object tracking. J. Zhejiang Univ. Sci. C 15(10): 861-877 (2014) - [j8]Chunlong Hu, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng:
An effective head pose estimation approach using Lie Algebrized Gaussians based face representation. Multim. Tools Appl. 73(3): 1863-1884 (2014) - [j7]Jie Sun, Songfeng Lu
An alternate quantum adiabatic evolution for the Deutsch-Jozsa problem. Quantum Inf. Process. 13(3): 731-736 (2014) - [j6]Jie Sun, Songfeng Lu
Generalized quantum partial adiabatic evolution. Quantum Inf. Process. 13(4): 909-916 (2014) - [j5]Chunyan Xu, Tianjiang Wang, Junbin Gao
An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold. IEEE Trans. Neural Networks Learn. Syst. 25(4): 728-737 (2014) - [c11]Guangpu Shao, Junbin Gao
Image Segmentation Based on Spatially Coherent Gaussian Mixture Model. DICTA 2014: 1-6 - [c10]Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng:
DTRF: A physiologically motivated method for image description. ICIP 2014: 5666-5670 - [c9]Guangpu Shao, Junbin Gao
Fuzzy c-means clustering with a new regularization term for image segmentation. IJCNN 2014: 2862-2869 - 2013
- [j4]Jie Sun, Songfeng Lu
Partial adiabatic quantum search algorithm and its extensions. Quantum Inf. Process. 12(8): 2689-2699 (2013) - [j3]Songfeng Lu
An efficient quantum search engine on unsorted database. Quantum Inf. Process. 12(10): 3265-3274 (2013) - 2011
- [c8]Fang Liu, Edwin R. Hancock
Facial Expression Recognition Using Nonrigid Motion Parameters and Shape-from-Shading. CAIP (2) 2011: 105-113 - [c7]Xiaoyu Luo, Xiumei Pang, Bingpeng Ma, Fang Liu:
Age Estimation Using Multi-Label Learning. CCBR 2011: 221-228 - 2010
- [c6]Liyu Gong, Tianjiang Wang, Chengshuo Wang, Fang Liu, Fuqiang Zhang, Xiaoyuan Yu:
Recognizing affect from non-stylized body motion using shape of Gaussian descriptors. SAC 2010: 1203-1206
2000 – 2009
- 2009
- [j2]Wenjun Liu, Tianjiang Wang, Fang Liu:
Multi-Agent Group Programming Based On Co-evolution. Comput. J. 52(8): 910-921 (2009) - [c5]Liyu Gong, Tianjiang Wang, Fang Liu:
Shape of Gaussians as feature descriptors. CVPR 2009: 2366-2371 - [c4]Liyu Gong, Tianjiang Wang, Yan Yu, Fang Liu, Xiangen Hu:
A Lie group based Gaussian Mixture Model distance measure for multimedia comparison. ICIMCS 2009: 70-79 - [c3]Liyu Gong, Tianjiang Wang, Fang Liu, Gang Chen:
A Lie group based spatiogram similarity measure. ICME 2009: 582-585 - 2008
- [c2]Fang Liu, Xiang Peng, Tianjiang Wang, Songfeng Lu
A density-based approach for text extraction in images. ICPR 2008: 1-4 - [c1]Fang Liu, Shaohua Zhu, Yuxiao Fu, Fan Fan, Tianjiang Wang, Songfeng Lu
Image Analysis of the Relationship between Changes of Cornea and Postmortem Interval. PRICAI 2008: 998-1003 - 2001
- [j1]Fang Liu, Zhengding Lu, Songfeng Lu:
Mining association rules using clustering. Intell. Data Anal. 5(4): 309-326 (2001)
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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