Fang Liu

According to our database, Fang Liu authored at least 39 papers between 2001 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Minimum unbiased risk estimate based 2DPCA for color image denoising.

Mingli Wang, Xinwei Jiang, Junbin Gao, Tianjiang Wang, Chunlong Hu, Fang Liu, Qi Feng

Neurocomputing, 2021

2019

A Multilevel Image Thresholding Based on Hybrid Salp Swarm Algorithm and Fuzzy Entropy.

Husein S. Naji Alwerfali, Mohamed Abd El-Aziz, Mohammed Abdulaziz Aide Al-qaness, Aaqif Afzaal Abbasi, Songfeng Lu, Fang Liu, Li Li

IEEE Access, 2019

2018

Deep multi-instance learning for end-to-end person re-identification.

Caihong Yuan, Chunyan Xu, Tianjiang Wang, Fang Liu, Zhiqiang Zhao, Ping Feng, Jingjuan Guo

Multim. Tools Appl., 2018

Research on multi-camera information fusion method for intelligent perception.

Qi Feng, Tianjiang Wang, Fang Liu, Hefei Ling

Multim. Tools Appl., 2018

Bi-branch deconvolution-based convolutional neural network for image classification.

Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu

Multim. Tools Appl., 2018

A hybrid tracking framework based on kernel correlation filtering and particle filtering.

Zhiqiang Zhao, Ping Feng, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Fang Liu, Zhijian Zhao, Zongmin Cui, Bin Wu

Neurocomputing, 2018

A deep features based generative model for visual tracking.

Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Kui Duan

Neurocomputing, 2018

2017

Remarkable local resampling based on particle filter for visual tracking.

Zhiqiang Zhao, Tianjiang Wang, Fang Liu, Gwang-Min Choe, Caihong Yuan, Zongmin Cui

Multim. Tools Appl., 2017

Dual-scale structural local sparse appearance model for robust object tracking.

Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu, Caihong Yuan, Jingjuan Guo, Zhijian Zhao, Zongmin Cui

Neurocomputing, 2017

Sparse representation combined with context information for visual tracking.

Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Caihong Yuan, Tianjiang Wang, Kui Duan

Neurocomputing, 2017

2016

On the General Class of Models of Adiabatic Evolution.

Jie Sun, Songfeng Lu, Fang Liu

Open Syst. Inf. Dyn., 2016

Modeling spatio-temporal layout with Lie Algebrized Gaussians for action recognition.

Meng Chen, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng

Multim. Tools Appl., 2016

2015

Generalized relation between fidelity and quantum adiabatic evolution.

Jie Sun, Songfeng Lu, Fang Liu, Qing Zhou, Zhigang Zhang

Quantum Inf. Process., 2015

A Modified Adiabatic Quantum Algorithm for Evaluation of Boolean Functions.

Jie Sun, Songfeng Lu, Fang Liu

Open Syst. Inf. Dyn., 2015

Moving object tracking based on geogram.

Gwang-Min Choe, Tianjiang Wang, Fang Liu, Gwangho Li, Hyongwang O, Songryong Kim

Multim. Tools Appl., 2015

Visual tracking based on particle filter with spline resampling.

Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So

Multim. Tools Appl., 2015

An advanced association of particle filtering and kernel based object tracking.

Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Manhung Jong

Multim. Tools Appl., 2015

Particle filter with spline resampling and global transition model.

Gwang-Min Choe, Tianjiang Wang, Fang Liu, Suchol Hyon, Jong Won Ha

IET Comput. Vis., 2015

2014

An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold.

Chunyan Xu, Tianjiang Wang, Junbin Gao, Shougang Cao, Wenbing Tao, Fang Liu

IEEE Trans. Neural Networks Learn. Syst., 2014

An alternate quantum adiabatic evolution for the Deutsch-Jozsa problem.

Jie Sun, Songfeng Lu, Fang Liu, Chao Gao

Quantum Inf. Process., 2014

Generalized quantum partial adiabatic evolution.

Jie Sun, Songfeng Lu, Fang Liu

Quantum Inf. Process., 2014

An effective head pose estimation approach using Lie Algebrized Gaussians based face representation.

Chunlong Hu, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng

Multim. Tools Appl., 2014

Anadvanced integrated framework for moving object tracking.

Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So, Chol-Ung Pak

J. Zhejiang Univ. Sci. C, 2014

Robust Differential Circle Patterns based on fuzzy membership-pooling: A novel local image descriptor.

Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng

Neurocomputing, 2014

Fuzzy c-means clustering with a new regularization term for image segmentation.

Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

DTRF: A physiologically motivated method for image description.

Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Image Segmentation Based on Spatially Coherent Gaussian Mixture Model.

Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

2013

Partial adiabatic quantum search algorithm and its extensions.

Jie Sun, Songfeng Lu, Fang Liu

Quantum Inf. Process., 2013

An efficient quantum search engine on unsorted database.

Songfeng Lu, Yingyu Zhang, Fang Liu

Quantum Inf. Process., 2013

2011

Age Estimation Using Multi-Label Learning.

Xiaoyu Luo, Xiumei Pang, Bingpeng Ma, Fang Liu

Proceedings of the Biometric Recognition - 6th Chinese Conference, 2011

Facial Expression Recognition Using Nonrigid Motion Parameters and Shape-from-Shading.

Fang Liu, Edwin R. Hancock, William A. P. Smith

Proceedings of the Computer Analysis of Images and Patterns, 2011

2010

Recognizing affect from non-stylized body motion using shape of Gaussian descriptors.

Liyu Gong, Tianjiang Wang, Chengshuo Wang, Fang Liu, Fuqiang Zhang, Xiaoyuan Yu

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2009

Multi-Agent Group Programming Based On Co-evolution.

Wenjun Liu, Tianjiang Wang, Fang Liu

Comput. J., 2009

A Lie group based spatiogram similarity measure.

Liyu Gong, Tianjiang Wang, Fang Liu, Gang Chen

Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

A Lie group based Gaussian Mixture Model distance measure for multimedia comparison.

Liyu Gong, Tianjiang Wang, Yan Yu, Fang Liu, Xiangen Hu

Proceedings of the First International Conference on Internet Multimedia Computing and Service, 2009

Shape of Gaussians as feature descriptors.

Liyu Gong, Tianjiang Wang, Fang Liu

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Image Analysis of the Relationship between Changes of Cornea and Postmortem Interval.

Fang Liu, Shaohua Zhu, Yuxiao Fu, Fan Fan, Tianjiang Wang, Songfeng Lu

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

A density-based approach for text extraction in images.

Fang Liu, Xiang Peng, Tianjiang Wang, Songfeng Lu

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2001

Mining association rules using clustering.

Fang Liu, Zhengding Lu, Songfeng Lu

Intell. Data Anal., 2001