Fuhua Chen

Orcid: 0000-0002-4588-0043

According to our database1, Fuhua Chen authored at least 15 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Rethinking Click Embedding for Deep Interactive Image Segmentation.
IEEE Trans. Ind. Informatics, 2023

2021
Common-covariance based person re-identification model.
Pattern Recognit. Lett., 2021

A dual-stream framework guided by adaptive Gaussian maps for interactive image segmentation.
Knowl. Based Syst., 2021

2018
Person reidentification by semisupervised dictionary rectification learning with retraining module.
J. Electronic Imaging, 2018

Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification.
IEEE Access, 2018

2017
Classification of small structures in piecewise-constant Mumford-Shah model.
Neurocomputing, 2017

A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data.
Neurocomputing, 2017

KL Divergence Based Person Re-identification Using Multivariate Gaussian Distributions.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Semisupervised Soft Mumford-Shah Model for MRI Brain Image Segmentation.
Appl. Comput. Intell. Soft Comput., 2016

2013
A New Multiphase Soft Segmentation with Adaptive Variants.
Appl. Comput. Intell. Soft Comput., 2013

2011
A New Framework of Multiphase Segmentation and Its Application to Partial Volume Segmentation.
Appl. Comput. Intell. Soft Comput., 2011

2010
A Multi-phase Soft Segmentation Based on Bi-direction Projected PDHG Method.
Proceedings of the 2010 International Conference on Image Processing, 2010

2009
A soft multiphase segmentation model via Gaussian mixture.
Proceedings of the International Conference on Image Processing, 2009

2008
An Extension of Sine-Sinc Model Based on Logarithm of Likelihood.
Proceedings of the 2008 International Conference on Image Processing, 2008

2001
A Technique Based on Wavelet and Morphology Transform to Recognize the Cancer Cell in Pleural Effusion.
Proceedings of the Medical Imaging and Augmented Reality: First International Workshop, 2001


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