Fang Liu

Publication Activity (10 Years)

Years Active: 2001-2021
Publications (10 Years): 12

Top Topics

Color Image Denoising

Particle Filter

Visual Tracking

Top Venues

Multim. Tools Appl.

Quantum Inf. Process.

Open Syst. Inf. Dyn.

Publications

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 (2021)
Husein S. Naji Alwerfali, Mohamed Abd El-Aziz, Mohammed Abdulaziz Aide Al-qaness, Aaqif Afzaal Abbasi, Songfeng Lu, Fang Liu, Li Li
A Multilevel Image Thresholding Based on Hybrid Salp Swarm Algorithm and Fuzzy Entropy. IEEE Access 7 (2019)
Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Kui Duan
A deep features based generative model for visual tracking. Neurocomputing 308 (2018)
Feng Qi, Tianjiang Wang, Fang Liu, Hefei Ling
Research on multi-camera information fusion method for intelligent perception. Multim. Tools Appl. 77 (12) (2018)
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) (2018)
Zhiqiang Zhao, Ping Feng, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Fang Liu, Zhijian Zhao, Zongmin Cui, Bin Wu
A hybrid tracking framework based on kernel correlation filtering and particle filtering. Neurocomputing 297 (2018)
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) (2018)
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 (2017)
Zhiqiang Zhao, Tianjiang Wang, Fang Liu, Gwang-Min Choe, Caihong Yuan, Zongmin Cui
Remarkable local resampling based on particle filter for visual tracking. Multim. Tools Appl. 76 (1) (2017)
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 (2017)
Jie Sun, Songfeng Lu, Fang Liu
On the General Class of Models of Adiabatic Evolution. Open Syst. Inf. Dyn. 23 (3) (2016)
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) (2016)
Jie Sun, Songfeng Lu, Fang Liu
A Modified Adiabatic Quantum Algorithm for Evaluation of Boolean Functions. Open Syst. Inf. Dyn. 22 (3) (2015)
Gwang-Min Choe, Tianjiang Wang, Fang Liu, Gwangho Li, Hyongwang O, Songryong Kim
Moving object tracking based on geogram. Multim. Tools Appl. 74 (21) (2015)
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) (2015)
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) (2015)
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) (2015)
Jie Sun, Songfeng Lu, Fang Liu, Qing Zhou, Zhigang Zhang
Generalized relation between fidelity and quantum adiabatic evolution. Quantum Inf. Process. 14 (6) (2015)
Jie Sun, Songfeng Lu, Fang Liu, Chao Gao
An alternate quantum adiabatic evolution for the Deutsch-Jozsa problem. Quantum Inf. Process. 13 (3) (2014)
Jie Sun, Songfeng Lu, Fang Liu
Generalized quantum partial adiabatic evolution. Quantum Inf. Process. 13 (4) (2014)
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) (2014)
Chunyan Xu, Tianjiang Wang, Junbin Gao, Shougang Cao, Wenbing Tao, Fang Liu
An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold. IEEE Trans. Neural Networks Learn. Syst. 25 (4) (2014)
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 (2014)
Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang
Fuzzy c-means clustering with a new regularization term for image segmentation. IJCNN (2014)
Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng
DTRF: A physiologically motivated method for image description. ICIP (2014)
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) (2014)
Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang
Image Segmentation Based on Spatially Coherent Gaussian Mixture Model. DICTA (2014)
Jie Sun, Songfeng Lu, Fang Liu
Partial adiabatic quantum search algorithm and its extensions. Quantum Inf. Process. 12 (8) (2013)
Songfeng Lu, Yingyu Zhang, Fang Liu
An efficient quantum search engine on unsorted database. Quantum Inf. Process. 12 (10) (2013)
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)
Liyu Gong, Tianjiang Wang, Yan Yu, Fang Liu, Xiangen Hu
A Lie group based Gaussian Mixture Model distance measure for multimedia comparison. ICIMCS (2009)
Liyu Gong, Tianjiang Wang, Fang Liu, Gang Chen
A Lie group based spatiogram similarity measure. ICME (2009)
Wenjun Liu, Tianjiang Wang, Fang Liu
Multi-Agent Group Programming Based On Co-evolution. Comput. J. 52 (8) (2009)
Liyu Gong, Tianjiang Wang, Fang Liu
Shape of Gaussians as feature descriptors. CVPR (2009)
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)
Fang Liu, Xiang Peng, Tianjiang Wang, Songfeng Lu
A density-based approach for text extraction in images. ICPR (2008)
Fang Liu, Zhengding Lu, Songfeng Lu
Mining association rules using clustering. Intell. Data Anal. 5 (4) (2001)