Xue-Cheng Tai

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 67

Top Venues

CoRR

J. Sci. Comput.

SIAM J. Imaging Sci.

J. Math. Imaging Vis.

Publications

Xue-Cheng Tai, Hao Liu, Raymond H. Chan
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. SIAM J. Imaging Sci. 17 (1) (2024)
Hao Liu, Jun Liu, Raymond Chan, Xue-Cheng Tai
Double-well Net for Image Segmentation. CoRR (2024)
Zhifang Liu, Baochen Sun, Xue-Cheng Tai, Qi Wang, Huibin Chang
A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition. SIAM J. Sci. Comput. 46 (1) (2024)
Lingfeng Li, Xue-Cheng Tai, Raymond H. Chan
BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet. CoRR (2024)
Xinyi Li, Jing Yuan, Xue-Cheng Tai, Sanyang Liu
Efficient Convex Optimization for Non-convex Non-smooth Image Restoration. J. Sci. Comput. 99 (2) (2024)
Fan Jia, Shen Mao, Xue-Cheng Tai, Tieyong Zeng
A Variational Model for Nonuniform Low-Light Image Enhancement. SIAM J. Imaging Sci. 17 (1) (2024)
Kehui Zhang, Lingfeng Li, Hao Liu, Jing Yuan, Xue-Cheng Tai
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation. CoRR (2024)
Lingfeng Li, Xue-Cheng Tai, Jiang Yang, Quanhui Zhu
A Priori Error Estimate of Deep Mixed Residual Method for Elliptic PDEs. J. Sci. Comput. 98 (2) (2024)
Da Chen, Jean-Marie Mirebeau, Minglei Shu, Xue-Cheng Tai, Laurent D. Cohen
Geodesic Models With Convexity Shape Prior. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Xue-Cheng Tai, Ragnar Winther, Xiaodi Zhang, Weiying Zheng
A Uniform Preconditioner for a Newton Algorithm for Total Variation Minimization and Minimum-Surface Problems. SIAM J. Numer. Anal. 61 (5) (2023)
Xue-Cheng Tai, Hao Liu, Raymond Chan
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. CoRR (2023)
Zhifang Liu, Baochen Sun, Xue-Cheng Tai, Qi Wang, Huibin Chang
A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition. CoRR (2023)
Xinhua Shen, Hongpeng Sun, Xue-Cheng Tai
Preconditioned Algorithm for Difference of Convex Functions with applications to Graph Ginzburg-Landau Model. CoRR (2023)
Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
Elastica Models for Color Image Regularization. SIAM J. Imaging Sci. 16 (1) (2023)
Hao Liu, Xue-Cheng Tai, Raymond Chan
Connections between Operator-splitting Methods and Deep Neural Networks with Applications in Image Segmentation. CoRR (2023)
Han Zhang, Raymond Chan, Xue-Cheng Tai
A Meshless Solver for Blood Flow Simulations in Elastic Vessels Using Physics-Informed Neural Network. CoRR (2023)
Hao Liu, Xue-Cheng Tai, Roland Glowinski
An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications to Surface Smoothing and Imaging. SIAM J. Sci. Comput. 44 (2) (2022)
Yuping Duan, Qiuxiang Zhong, Xue-Cheng Tai, Roland Glowinski
A Fast Operator-splitting Method for Beltrami Color Image Denoising. J. Sci. Comput. 92 (3) (2022)
Lingfeng Li, Xue-Cheng Tai, Jiang Yang, Quanhui Zhu
Priori Error Estimate of Deep Mixed Residual Method for Elliptic PDEs. CoRR (2022)
Yumeng Ren, Yiming Gao, Chunlin Wu, Xue-Cheng Tai
IDmUNet: A new image decomposition induced network for sparse feature segmentation. CoRR (2022)
Jun Liu, Xiangyue Wang, Xue-Cheng Tai
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-Shape Priors for Image Segmentation. J. Math. Imaging Vis. 64 (6) (2022)
Shousheng Luo, Jinfeng Chen, Yunhai Xiao, Xue-Cheng Tai
Multiple Convex Objects Image Segmentation via Proximal Alternating Direction Method of Multipliers. CoRR (2022)
Shousheng Luo, Xue-Cheng Tai, Roland Glowinski
Convex Object(s) Characterization and Segmentation Using Level Set Function. J. Math. Imaging Vis. 64 (1) (2022)
Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
Elastica Models for Color Image Regularization. CoRR (2022)
Xue-Cheng Tai, Ragnar Winther, Xiaodi Zhang, Weiying Zheng
A uniform preconditioner for a Newton algorithm for total-variation minimization and minimum-surface problems. CoRR (2022)
Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng
Overlapping Domain Decomposition Methods for Ptychographic Imaging. SIAM J. Sci. Comput. 43 (3) (2021)
Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
A Color Elastica Model for Vector-Valued Image Regularization. SIAM J. Imaging Sci. 14 (2) (2021)
Hongpeng Sun, Xue-Cheng Tai, Jing Yuan
Efficient and Convergent Preconditioned ADMM for the Potts Models. SIAM J. Sci. Comput. 43 (2) (2021)
Lihong Guo, Yueyun Liu, Yu Wang, Yuping Duan, Xue-Cheng Tai
Learned snakes for 3D image segmentation. Signal Process. 183 (2021)
Lingfeng Li, Xue-Cheng Tai, Jiang Yang
Generalization Error Analysis of Neural networks with Gradient Based Regularization. CoRR (2021)
Xue-Cheng Tai, Liang-Jian Deng, Ke Yin
A Multigrid Algorithm for Maxflow and Min-Cut Problems with Applications to Multiphase Image Segmentation. J. Sci. Comput. 87 (3) (2021)
Hao Liu, Xue-Cheng Tai, Roland Glowinski
An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications in Surface Smoothing and Imaging. CoRR (2021)
Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang
Convexity Shape Prior for Level Set-Based Image Segmentation Method. IEEE Trans. Image Process. 29 (2020)
Bin Wu, Xue-Cheng Tai, Talal Rahman
Multidimensional TV-Stokes for image processing. CoRR (2020)
Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai
Volume preserving image segmentation with entropy regularized optimal transport and its applications in deep learning. J. Vis. Commun. Image Represent. 71 (2020)
Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng
Overlapping Domain Decomposition Methods for Ptychographic Imaging. CoRR (2020)
Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang
A level set representation method for N-dimensional convex shape and applications. CoRR (2020)
Bin Wu, Xue-Cheng Tai, Talal Rahman
Alternating minimization for a single step TV-Stokes model for image denoising. CoRR (2020)
Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
A Color Elastica Model for Vector-Valued Image Regularization. CoRR (2020)
Weina Wang, Chunlin Wu, Xue-Cheng Tai
A Globally Convergent Algorithm for a Constrained Non-Lipschitz Image Restoration Model. J. Sci. Comput. 83 (1) (2020)
Bin Wu, Leszek Marcinkowski, Xue-Cheng Tai, Talal Rahman
Iterative regularization algorithms for image denoising with the TV-Stokes model. CoRR (2020)
Jun Liu, Xiangyue Wang, Xue-Cheng Tai
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation. CoRR (2020)
Jun Liu, Xue-Cheng Tai, Shousheng Luo
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation. CoRR (2020)
Shousheng Luo, Xue-Cheng Tai, Yang Wang
Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms. CoRR (2020)
Bin Wu, Xue-Cheng Tai, Talal Rahman
Sparse-data based 3D surface reconstruction with vector matching. CoRR (2020)
Shousheng Luo, Keke Kang, Yang Wang, Xue-Cheng Tai
Low-dose X-ray Computed Tomography Image Reconstruction Using Edge Sparsity Regularization. ISICDM (2019)
Shousheng Luo, Ruyue Meng, Suhua Wei, Jian-Feng Cai, Xue-Cheng Tai, Yang Wang
Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data. CoRR (2019)
Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai
Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning. CoRR (2019)
Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang
A Variational Convex Hull Algorithm. SSVM (2019)
Shousheng Luo, Ruyue Meng, Suhua Wei, Jian-Feng Cai, Xue-Cheng Tai, Yang Wang
Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data. ISICDM (2019)
Liang-Jian Deng, Roland Glowinski, Xue-Cheng Tai
A New Operator Splitting Method for the Euler Elastica Model for Image Smoothing. SIAM J. Imaging Sci. 12 (2) (2019)
Fan Jia, Jun Liu, Xue-Cheng Tai
A Regularized Convolutional Neural Network for Semantic Image Segmentation. CoRR (2019)
Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang
Convex hull algorithms based on some variational models. CoRR (2019)
Jia Fan, Xue-Cheng Tai
Regularized UNet for Automated Pancreas Segmentation. ISICDM (2019)
Liang-Jian Deng, Minyu Feng, Xue-Cheng Tai
The fusion of panchromatic and multispectral remote sensing images via tensor-based sparse modeling and hyper-Laplacian prior. Inf. Fusion 52 (2019)
Shousheng Luo, Xue-Cheng Tai, Limei Huo, Yang Wang, Roland Glowinski
Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function. ICCV (2019)
Limei Huo, Shousheng Luo, Yiqiu Dong, Xue-Cheng Tai, Yang Wang
An Iteration Method for X-Ray CT Reconstruction from Variable-Truncation Projection Data. SSVM (2019)
Alexander Malyshev, Xue-Cheng Tai
Variational Model for Depth Estimation from Images. SKIMA (2019)
Zachary M. Boyd, Egil Bae, Xue-Cheng Tai, Andrea L. Bertozzi
Simplified Energy Landscape for Modularity Using Total Variation. SIAM J. Appl. Math. 78 (5) (2018)
Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang
Convexity Shape Prior for Level Set based Image Segmentation Method. CoRR (2018)
Ke Yin, Xue-Cheng Tai
An Effective Region Force for Some Variational Models for Learning and Clustering. J. Sci. Comput. 74 (1) (2018)
Hei Long Chan, Shi Yan, Lok Ming Lui, Xue-Cheng Tai
Topology-Preserving Image Segmentation by Beltrami Representation of Shapes. J. Math. Imaging Vis. 60 (3) (2018)
Jing Yuan, Ke Yin, Yi-Guang Bai, Xiang-Chu Feng, Xue-Cheng Tai
Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image Segmentation. SSVM (2017)
Ke Wei, Ke Yin, Xue-Cheng Tai, Tony F. Chan
New region force for variational models in image segmentation and high dimensional data clustering. CoRR (2017)
Liangpei Zhang, Gui-Song Xia, Tianfu Wu, Liang Lin, Xue-Cheng Tai
Deep Learning for Remote Sensing Image Understanding. J. Sensors 2016 (2016)
Erlend Hodneland, Xue-Cheng Tai, Henrik Kalisch
PDE Based Algorithms for Smooth Watersheds. IEEE Trans. Medical Imaging 35 (4) (2016)
Yuping Duan, Huibin Chang, Xue-Cheng Tai
Convergent Non-overlapping Domain Decomposition Methods for Variational Image Segmentation. J. Sci. Comput. 69 (2) (2016)
Ekaterina Merkurjev, Egil Bae, Andrea L. Bertozzi, Xue-Cheng Tai
Global Binary Optimization on Graphs for Classification of High-Dimensional Data. J. Math. Imaging Vis. 52 (3) (2015)
Jinming Duan, Zhenkuan Pan, Baochang Zhang, Wanquan Liu, Xue-Cheng Tai
Fast algorithm for color texture image inpainting using the non-local CTV model. J. Glob. Optim. 62 (4) (2015)
Huibin Chang, Xue-Cheng Tai, Li-Lian Wang, Danping Yang
Convergence Rate of Overlapping Domain Decomposition Methods for the Rudin-Osher-Fatemi Model Based on a Dual Formulation. SIAM J. Imaging Sci. 8 (1) (2015)
Egil Bae, Xue-Cheng Tai
Efficient Global Minimization Methods for Image Segmentation Models with Four Regions. J. Math. Imaging Vis. 51 (1) (2015)
Xavier Bresson, Xue-Cheng Tai, Tony F. Chan, Arthur Szlam
Multi-class Transductive Learning Based on ℓ 1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model. J. Math. Imaging Vis. 49 (1) (2014)
Jun Liu, Xue-Cheng Tai, Shingyu Leung, Haiyang Huang
A new continuous max-flow algorithm for multiphase image segmentation using super-level set functions. J. Vis. Commun. Image Represent. 25 (6) (2014)
Jing Yuan, Egil Bae, Xue-Cheng Tai, Yuri Boykov
A spatially continuous max-flow and min-cut framework for binary labeling problems. Numerische Mathematik 126 (3) (2014)
Huibin Chang, Xiaoqun Zhang, Xue-Cheng Tai, Danping Yang
Domain Decomposition Methods for Nonlocal Total Variation Image Restoration. J. Sci. Comput. 60 (1) (2014)
Martin Rajchl, John S. H. Baxter, Egil Bae, Xue-Cheng Tai, Aaron Fenster, Terry M. Peters, Jing Yuan
Variational Time-Implicit Multiphase Level-Sets - A Fast Convex Optimization-Based Solution. EMMCVPR (2014)
Huibin Chang, Xue-Cheng Tai, Danping Yang
Domain Decomposition Methods for Total Variation Minimization. EMMCVPR (2014)
Egil Bae, Xue-Cheng Tai, Jing Yuan
Maximizing Flows with Message-Passing: Computing Spatially Continuous Min-Cuts. EMMCVPR (2014)
Zhijian Rong, Li-Lian Wang, Xue-Cheng Tai
Adaptive wavelet collocation methods for image segmentation using TV-Allen-Cahn type models. Adv. Comput. Math. 38 (1) (2013)
Junyong You, Xue-Cheng Tai
Enhancing coded video quality with perceptual foveation driven bit allocation strategy. VCIP (2013)
Wei Zhu, Xue-Cheng Tai, Tony F. Chan
Image Segmentation Using Euler's Elastica as the Regularization. J. Sci. Comput. 57 (2) (2013)
Yong Yang, Shoudong Han, Tianjiang Wang, Wenbing Tao, Xue-Cheng Tai
Multilayer graph cuts based unsupervised color-texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging. Pattern Recognit. 46 (4) (2013)
Rongjie Lai, Xue-Cheng Tai, Tony F. Chan
A Ridge and Corner Preserving Model for Surface Restoration. SIAM J. Sci. Comput. 35 (2) (2013)
Jun Liu, Xue-Cheng Tai, Shingyu Leung
A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation. EMMCVPR (2013)
Min Wan, Yu Wang, Egil Bae, Xue-Cheng Tai, Desheng Wang
Reconstructing Open Surfaces via Graph-Cuts. IEEE Trans. Vis. Comput. Graph. 19 (2) (2013)
Egil Bae, Jan Lellmann, Xue-Cheng Tai
Convex Relaxations for a Generalized Chan-Vese Model. EMMCVPR (2013)
Jing Yuan, Wu Qiu, Martin Rajchl, Eranga Ukwatta, Xue-Cheng Tai, Aaron Fenster
Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry. CVPR (2013)
Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan
A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise. IEEE Trans. Image Process. 22 (3) (2013)
Jing Yuan, Eranga Ukwatta, Wu Qiu, Martin Rajchl, Yue Sun, Xue-Cheng Tai, Aaron Fenster
Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets. EMMCVPR (2013)
Chunlin Wu, Juyong Zhang, Yuping Duan, Xue-Cheng Tai
Augmented Lagrangian Method for Total Variation Based Image Restoration and Segmentation Over Triangulated Surfaces. J. Sci. Comput. 50 (1) (2012)
Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein
Fast Regularization of Matrix-Valued Images. ECCV (3) (2012)
Yuping Duan, Xue-Cheng Tai
Domain decomposition methods with graph cuts algorithms for total variation minimization. Adv. Comput. Math. 36 (2) (2012)
Yuying Shi, Li-Lian Wang, Xue-Cheng Tai
-model. J. Comput. Appl. Math. 236 (8) (2012)
Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Xue-Cheng Tai, Ron Kimmel
Group-Valued Regularization for Analysis of Articulated Motion. ECCV Workshops (1) (2012)
Ying Gu, Li-Lian Wang, Xue-Cheng Tai
A Direct Approach Toward Global Minimization for Multiphase Labeling and Segmentation Problems. IEEE Trans. Image Process. 21 (5) (2012)
Jooyoung Hahn, Chunlin Wu, Xue-Cheng Tai
Augmented Lagrangian Method for Generalized TV-Stokes Model. J. Sci. Comput. 50 (2) (2012)
Jooyoung Hahn, Ginmo Jason Chung, Yu Wang, Xue-Cheng Tai
Fast Algorithms for p-elastica Energy with the Application to Image Inpainting and Curve Reconstruction. SSVM (2011)
Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein
Fast Regularization of Matrix-Valued Images. Efficient Algorithms for Global Optimization Methods in Computer Vision (2011)
Xue-Cheng Tai, Jooyoung Hahn, Ginmo Jason Chung
A Fast Algorithm for Euler's Elastica Model Using Augmented Lagrangian Method. SIAM J. Imaging Sci. 4 (1) (2011)
Yuping Duan, Yu Wang, Xue-Cheng Tai, Jooyoung Hahn
A Fast Augmented Lagrangian Method for Euler's Elastica Model. SSVM (2011)

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Publication Activity (10 Years)

Top Topics

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Xue-Cheng Tai