Jun Liu
Orcid: 0000-0001-8697-3089Affiliations:
- Beijing Normal University, School of Mathematical Sciences, MoE Laboratory of Mathematics and Complex Systems, China
According to our database1,
Jun Liu
authored at least 32 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
SIAM J. Imaging Sci., March, 2024
Assembling a Learnable Mumford-Shah Type Model with Multigrid Technique for Image Segmentation.
SIAM J. Imaging Sci., 2024
An inexact Bregman proximal point method and its acceleration version for unbalanced optimal transport.
CoRR, 2024
2023
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model.
CoRR, 2023
2022
SIAM J. Imaging Sci., September, 2022
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-Shape Priors for Image Segmentation.
J. Math. Imaging Vis., 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
A Dual Model for Restoring Images Corrupted by Mixture of Additive and Multiplicative Noise.
IEEE Access, 2021
2020
IEEE Trans. Image Process., 2020
IEEE Trans. Image Process., 2020
Nonnegative and Nonlocal Sparse Tensor Factorization-Based Hyperspectral Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2020
A Variational Image Segmentation Model Based on Normalized Cut with Adaptive Similarity and Spatial Regularization.
SIAM J. Imaging Sci., 2020
Volume preserving image segmentation with entropy regularized optimal transport and its applications in deep learning.
J. Vis. Commun. Image Represent., 2020
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation.
CoRR, 2020
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation.
CoRR, 2020
2019
Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising.
J. Sci. Comput., 2019
Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning.
CoRR, 2019
CoRR, 2019
2018
2017
Learning a Discriminative Distance Metric With Label Consistency for Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2017
2014
A new continuous max-flow algorithm for multiphase image segmentation using super-level set functions.
J. Vis. Commun. Image Represent., 2014
2013
IEEE Trans. Image Process., 2013
A Splitting Algorithm for Image Segmentation on Manifolds Represented by the Grid Based Particle Method.
J. Sci. Comput., 2013
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013
2012
Expectation-maximization algorithm with total variation regularization for vector-valued image segmentation.
J. Vis. Commun. Image Represent., 2012
2011
A fast segmentation method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation.
Pattern Recognit., 2011
J. Vis. Commun. Image Represent., 2011
Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011
2010
Adaptive Variational Method for Restoring Color Images with High Density Impulse Noise.
Int. J. Comput. Vis., 2010
2009
Int. J. Comput. Vis., 2009