Xue-Cheng Tai - RankMe

190 papers A* 3C 1Misc 1Journal 138Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Automatic 3D PET Tumor Segmentation Framework Assisted by Geodesic Sequences. IEEE J. Biomed. Health Informatics Lin Yang, Dan Shao, Chuanli Cheng, Chao Zou, Zhenxing Huang, Hairong Zheng, Dong Liang, Zhi-Feng Pang, Xue-Cheng Tai, Zhanli Hu
2026	J	`jnl`	Functional Analysis and Parallel Domain Decomposition for the TV-Stokes Model. CoRR Andreas Langer, Marc Runft, Talal Rahman, Xue-Cheng Tai, Bin Wu
2026	J	`jnl`	Parametrized sampling for 3D blood simulation in deformable vessels using Physics-Informed Neural Networks. J. Comput. Appl. Math. Han Zhang, Lingfeng Li, Xue-Cheng Tai, Raymond Honfu Chan
2026	J	`jnl`	Topology-Guaranteed Image Segmentation: Enforcing Connectivity, Genus, and Width Constraints. CoRR Wenxiao Li, Xue-Cheng Tai, Jun Liu
2025	J	`jnl`	A Mathematical Explanation of Transformers for Large Language Models and GPTs. CoRR Xue-Cheng Tai, Hao Liu, Lingfeng Li, Raymond H. Chan
2025	J	`jnl`	A Registration-Based Star-Shape Segmentation Model and Fast Algorithms. CoRR Daoping Zhang, Xue-Cheng Tai, Lok Ming Lui
2025	J	`jnl`	A Registration-Based Star-Shape Segmentation Model and Fast Algorithms. J. Sci. Comput. Daoping Zhang, Xue-Cheng Tai, Lok Ming Lui
2025	J	`jnl`	A mathematical explanation of UNet. Math. Found. Comput. Xue-Cheng Tai, Hao Liu, Raymond H. Chan, Lingfeng Li
2025	J	`jnl`	Convex Shape Prior for Deep Convolution Neural Network-Based Image Segmentation. J. Math. Imaging Vis. Jun Liu, Kehui Zhang, Xue-Cheng Tai, Shousheng Luo
2025	J	`jnl`	Deep convolutional neural networks meet variational shape compactness priors for image segmentation. Neurocomputing Kehui Zhang, Lingfeng Li, Hao Liu, Jing Yuan, Xue-Cheng Tai
2025	J	`jnl`	Fluid Dynamics and Domain Reconstruction from Noisy Flow Images Using Physics-Informed Neural Networks and Quasi-Conformal Mapping. CoRR Han Zhang, Xue-Cheng Tai, Jean-Michel Morel, Raymond H. Chan
2025	J	`jnl`	Image segmentation via two-step deep variational priors. Pattern Recognit. Lett. Lu Tan, Xue-Cheng Tai, Ling Li, Wanquan Liu, Raymond H. Chan, Danfeng Hong
2025	J	`jnl`	Mathematical Modeling and Convergence Analysis of Deep Neural Networks with Dense Layer Connectivities in Deep Learning. CoRR Jinshu Huang, Haibin Su, Xue-Cheng Tai, Chunlin Wu
2025	—	`conf`	New Ways to Design Deep Neural Networks. NAIS Xue-Cheng Tai, Hao Liu, Chan H. Raymond, Lingfeng Li
2024	J	`jnl`	A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition. SIAM J. Sci. Comput. Zhifang Liu, Baochen Sun, Xue-Cheng Tai, Qi Wang, Huibin Chang
2024	J	`jnl`	A Mathematical Explanation of UNet. CoRR Xue-Cheng Tai, Hao Liu, Raymond H. Chan, Lingfeng Li
2024	J	`jnl`	A Meshless Solver for Blood Flow Simulations in Elastic Vessels Using a Physics-Informed Neural Network. SIAM J. Sci. Comput. Han Zhang, Raymond H. Chan, Xue-Cheng Tai
2024	J	`jnl`	A Priori Error Estimate of Deep Mixed Residual Method for Elliptic PDEs. J. Sci. Comput. Lingfeng Li, Xue-Cheng Tai, Jiang Yang, Quanhui Zhu
2024	J	`jnl`	A Variational Model for Nonuniform Low-Light Image Enhancement. SIAM J. Imaging Sci. Fan Jia, Shen Mao, Xue-Cheng Tai, Tieyong Zeng
2024	J	`jnl`	A new method to compute the blood flow equations using the physics-informed neural operator. J. Comput. Phys. Lingfeng Li, Xue-Cheng Tai, Raymond Honfu Chan
2024	J	`jnl`	BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet. CoRR Lingfeng Li, Xue-Cheng Tai, Raymond Chan
2024	J	`jnl`	Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation. CoRR Kehui Zhang, Lingfeng Li, Hao Liu, Jing Yuan, Xue-Cheng Tai
2024	J	`jnl`	Double-Well Net for Image Segmentation. Multiscale Model. Simul. Hao Liu, Jun Liu, Raymond H. Chan, Xue-Cheng Tai
2024	J	`jnl`	Double-well Net for Image Segmentation. CoRR Hao Liu, Jun Liu, Raymond H. Chan, Xue-Cheng Tai
2024	J	`jnl`	Efficient Convex Optimization for Non-convex Non-smooth Image Restoration. J. Sci. Comput. Xinyi Li, Jing Yuan, Xue-Cheng Tai, Sanyang Liu
2024	J	`jnl`	PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. SIAM J. Imaging Sci. Xue-Cheng Tai, Hao Liu, Raymond Chan
2023	J	`jnl`	A Fast Minimization Algorithm for the Euler Elastica Model Based on a Bilinear Decomposition. CoRR Zhifang Liu, Baochen Sun, Xue-Cheng Tai, Qi Wang, Huibin Chang
2023	J	`jnl`	A Meshless Solver for Blood Flow Simulations in Elastic Vessels Using Physics-Informed Neural Network. CoRR Han Zhang, Raymond H. Chan, Xue-Cheng Tai
2023	J	`jnl`	A Uniform Preconditioner for a Newton Algorithm for Total Variation Minimization and Minimum-Surface Problems. SIAM J. Numer. Anal. Xue-Cheng Tai, Ragnar Winther, Xiaodi Zhang, Weiying Zheng
2023	J	`jnl`	Connections between Operator-splitting Methods and Deep Neural Networks with Applications in Image Segmentation. CoRR Hao Liu, Xue-Cheng Tai, Raymond H. Chan
2023	J	`jnl`	Elastica Models for Color Image Regularization. SIAM J. Imaging Sci. Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
2023	J	`jnl`	Geodesic Models With Convexity Shape Prior. IEEE Trans. Pattern Anal. Mach. Intell. Da Chen, Jean-Marie Mirebeau, Minglei Shu, Xue-Cheng Tai, Laurent D. Cohen
2023	J	`jnl`	PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. CoRR Xue-Cheng Tai, Hao Liu, Raymond H. Chan
2023	J	`jnl`	Preconditioned Algorithm for Difference of Convex Functions with applications to Graph Ginzburg-Landau Model. CoRR Xinhua Shen, Hongpeng Sun, Xue-Cheng Tai
2022	J	`jnl`	A Fast Operator-splitting Method for Beltrami Color Image Denoising. J. Sci. Comput. Yuping Duan, Qiuxiang Zhong, Xue-Cheng Tai, Roland Glowinski
2022	J	`jnl`	A uniform preconditioner for a Newton algorithm for total-variation minimization and minimum-surface problems. CoRR Xue-Cheng Tai, Ragnar Winther, Xiaodi Zhang, Weiying Zheng
2022	J	`jnl`	An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications to Surface Smoothing and Imaging. SIAM J. Sci. Comput. Hao Liu, Xue-Cheng Tai, Roland Glowinski
2022	J	`jnl`	Convex Object(s) Characterization and Segmentation Using Level Set Function. J. Math. Imaging Vis. Shousheng Luo, Xue-Cheng Tai, Roland Glowinski
2022	J	`jnl`	Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-Shape Priors for Image Segmentation. J. Math. Imaging Vis. Jun Liu, Xiangyue Wang, Xue-Cheng Tai
2022	J	`jnl`	Elastica Models for Color Image Regularization. CoRR Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
2022	J	`jnl`	IDmUNet: A new image decomposition induced network for sparse feature segmentation. CoRR Yumeng Ren, Yiming Gao, Chunlin Wu, Xue-Cheng Tai
2022	J	`jnl`	Multiple Convex Objects Image Segmentation via Proximal Alternating Direction Method of Multipliers. CoRR Shousheng Luo, Jinfeng Chen, Yunhai Xiao, Xue-Cheng Tai
2022	J	`jnl`	Priori Error Estimate of Deep Mixed Residual Method for Elliptic PDEs. CoRR Lingfeng Li, Xue-Cheng Tai, Jiang Yang, Quanhui Zhu
2021	J	`jnl`	A Color Elastica Model for Vector-Valued Image Regularization. SIAM J. Imaging Sci. Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
2021	J	`jnl`	A Multigrid Algorithm for Maxflow and Min-Cut Problems with Applications to Multiphase Image Segmentation. J. Sci. Comput. Xue-Cheng Tai, Liang-Jian Deng, Ke Yin
2021	J	`jnl`	An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications in Surface Smoothing and Imaging. CoRR Hao Liu, Xue-Cheng Tai, Roland Glowinski
2021	J	`jnl`	Efficient and Convergent Preconditioned ADMM for the Potts Models. SIAM J. Sci. Comput. Hongpeng Sun, Xue-Cheng Tai, Jing Yuan
2021	J	`jnl`	Generalization Error Analysis of Neural networks with Gradient Based Regularization. CoRR Lingfeng Li, Xue-Cheng Tai, Jiang Yang
2021	J	`jnl`	Learned snakes for 3D image segmentation. Signal Process. Lihong Guo, Yueyun Liu, Yu Wang, Yuping Duan, Xue-Cheng Tai
2021	J	`jnl`	Overlapping Domain Decomposition Methods for Ptychographic Imaging. SIAM J. Sci. Comput. Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng
2020	J	`jnl`	A Color Elastica Model for Vector-Valued Image Regularization. CoRR Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
2020	J	`jnl`	A Globally Convergent Algorithm for a Constrained Non-Lipschitz Image Restoration Model. J. Sci. Comput. Weina Wang, Chunlin Wu, Xue-Cheng Tai
2020	J	`jnl`	A level set representation method for N-dimensional convex shape and applications. CoRR Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang
2020	J	`jnl`	Alternating minimization for a single step TV-Stokes model for image denoising. CoRR Bin Wu, Xue-Cheng Tai, Talal Rahman
2020	J	`jnl`	Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation. CoRR Jun Liu, Xue-Cheng Tai, Shousheng Luo
2020	J	`jnl`	Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms. CoRR Shousheng Luo, Xue-Cheng Tai, Yang Wang
2020	J	`jnl`	Convexity Shape Prior for Level Set-Based Image Segmentation Method. IEEE Trans. Image Process. Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang
2020	J	`jnl`	Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation. CoRR Jun Liu, Xiangyue Wang, Xue-Cheng Tai
2020	J	`jnl`	Iterative regularization algorithms for image denoising with the TV-Stokes model. CoRR Bin Wu, Leszek Marcinkowski, Xue-Cheng Tai, Talal Rahman
2020	J	`jnl`	Multidimensional TV-Stokes for image processing. CoRR Bin Wu, Xue-Cheng Tai, Talal Rahman
2020	J	`jnl`	Overlapping Domain Decomposition Methods for Ptychographic Imaging. CoRR Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng
2020	J	`jnl`	Sparse-data based 3D surface reconstruction with vector matching. CoRR Bin Wu, Xue-Cheng Tai, Talal Rahman
2020	J	`jnl`	Volume preserving image segmentation with entropy regularized optimal transport and its applications in deep learning. J. Vis. Commun. Image Represent. Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai
2019	J	`jnl`	A New Operator Splitting Method for the Euler Elastica Model for Image Smoothing. SIAM J. Imaging Sci. Liang-Jian Deng, Roland Glowinski, Xue-Cheng Tai
2019	J	`jnl`	A Regularized Convolutional Neural Network for Semantic Image Segmentation. CoRR Fan Jia, Jun Liu, Xue-Cheng Tai
2019	—	`conf`	A Variational Convex Hull Algorithm. SSVM Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang
2019	—	`conf`	An Iteration Method for X-Ray CT Reconstruction from Variable-Truncation Projection Data. SSVM Limei Huo, Shousheng Luo, Yiqiu Dong, Xue-Cheng Tai, Yang Wang
2019	A*	`conf`	Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function. ICCV Shousheng Luo, Xue-Cheng Tai, Limei Huo, Yang Wang, Roland Glowinski
2019	J	`jnl`	Convex hull algorithms based on some variational models. CoRR Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang
2019	—	`conf`	Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data. ISICDM Shousheng Luo, Ruyue Meng, Suhua Wei, Jian-Feng Cai, Xue-Cheng Tai, Yang Wang
2019	J	`jnl`	Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data. CoRR Shousheng Luo, Ruyue Meng, Suhua Wei, Jian-Feng Cai, Xue-Cheng Tai, Yang Wang
2019	—	`conf`	Low-dose X-ray Computed Tomography Image Reconstruction Using Edge Sparsity Regularization. ISICDM Shousheng Luo, Keke Kang, Yang Wang, Xue-Cheng Tai
2019	—	`conf`	Regularized UNet for Automated Pancreas Segmentation. ISICDM Jia Fan, Xue-Cheng Tai
2019	J	`jnl`	The fusion of panchromatic and multispectral remote sensing images via tensor-based sparse modeling and hyper-Laplacian prior. Inf. Fusion Liang-Jian Deng, Minyu Feng, Xue-Cheng Tai
2019	—	`conf`	Variational Model for Depth Estimation from Images. SKIMA Alexander Malyshev, Xue-Cheng Tai
2019	J	`jnl`	Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning. CoRR Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai
2018	J	`jnl`	An Effective Region Force for Some Variational Models for Learning and Clustering. J. Sci. Comput. Ke Yin, Xue-Cheng Tai
2018	J	`jnl`	Convexity Shape Prior for Level Set based Image Segmentation Method. CoRR Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang
2018	J	`jnl`	Simplified Energy Landscape for Modularity Using Total Variation. SIAM J. Appl. Math. Zachary M. Boyd, Egil Bae, Xue-Cheng Tai, Andrea L. Bertozzi
2018	J	`jnl`	Topology-Preserving Image Segmentation by Beltrami Representation of Shapes. J. Math. Imaging Vis. Hei Long Chan, Shi Yan, Lok Ming Lui, Xue-Cheng Tai
2017	—	`conf`	Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image Segmentation. SSVM Jing Yuan, Ke Yin, Yi-Guang Bai, Xiang-Chu Feng, Xue-Cheng Tai
2017	J	`jnl`	New region force for variational models in image segmentation and high dimensional data clustering. CoRR Ke Wei, Ke Yin, Xue-Cheng Tai, Tony F. Chan
2016	J	`jnl`	Convergent Non-overlapping Domain Decomposition Methods for Variational Image Segmentation. J. Sci. Comput. Yuping Duan, Huibin Chang, Xue-Cheng Tai
2016	J	`jnl`	Deep Learning for Remote Sensing Image Understanding. J. Sensors Liangpei Zhang, Gui-Song Xia, Tianfu Wu, Liang Lin, Xue-Cheng Tai
2016	J	`jnl`	PDE Based Algorithms for Smooth Watersheds. IEEE Trans. Medical Imaging Erlend Hodneland, Xue-Cheng Tai, Henrik Kalisch
2015	J	`jnl`	Convergence Rate of Overlapping Domain Decomposition Methods for the Rudin-Osher-Fatemi Model Based on a Dual Formulation. SIAM J. Imaging Sci. Huibin Chang, Xue-Cheng Tai, Li-Lian Wang, Danping Yang
2015	J	`jnl`	Efficient Global Minimization Methods for Image Segmentation Models with Four Regions. J. Math. Imaging Vis. Egil Bae, Xue-Cheng Tai
2015	—	`ed.`	Energy Minimization Methods in Computer Vision and Pattern Recognition - 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings EMMCVPR Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker
2015	J	`jnl`	Fast algorithm for color texture image inpainting using the non-local CTV model. J. Glob. Optim. Jinming Duan, Zhenkuan Pan, Baochang Zhang, Wanquan Liu, Xue-Cheng Tai
2015	J	`jnl`	Global Binary Optimization on Graphs for Classification of High-Dimensional Data. J. Math. Imaging Vis. Ekaterina Merkurjev, Egil Bae, Andrea L. Bertozzi, Xue-Cheng Tai
2014	J	`jnl`	A new continuous max-flow algorithm for multiphase image segmentation using super-level set functions. J. Vis. Commun. Image Represent. Jun Liu, Xue-Cheng Tai, Shingyu Leung, Haiyang Huang
2014	J	`jnl`	A spatially continuous max-flow and min-cut framework for binary labeling problems. Numerische Mathematik Jing Yuan, Egil Bae, Xue-Cheng Tai, Yuri Boykov
2014	—	`ch.`	An Augmented Lagrangian Method for the Microstructure of a Liquid Crystal Model. Modeling, Simulation and Optimization for Science and Technology Ping Lin, Xue-Cheng Tai
2014	J	`jnl`	Domain Decomposition Methods for Nonlocal Total Variation Image Restoration. J. Sci. Comput. Huibin Chang, Xiaoqun Zhang, Xue-Cheng Tai, Danping Yang
2014	—	`conf`	Domain Decomposition Methods for Total Variation Minimization. EMMCVPR Huibin Chang, Xue-Cheng Tai, Danping Yang
2014	—	`ed.`	Efficient Algorithms for Global Optimization Methods in Computer Vision - International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers Efficient Algorithms for Global Optimization Methods in Computer Vision Andrés Bruhn, Thomas Pock, Xue-Cheng Tai
2014	—	`conf`	Maximizing Flows with Message-Passing: Computing Spatially Continuous Min-Cuts. EMMCVPR Egil Bae, Xue-Cheng Tai, Jing Yuan
2014	J	`jnl`	Multi-class Transductive Learning Based on ℓ 1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model. J. Math. Imaging Vis. Xavier Bresson, Xue-Cheng Tai, Tony F. Chan, Arthur Szlam
2014	—	`conf`	Variational Time-Implicit Multiphase Level-Sets - A Fast Convex Optimization-Based Solution. EMMCVPR Martin Rajchl, John S. H. Baxter, Egil Bae, Xue-Cheng Tai, Aaron Fenster, Terry M. Peters, Jing Yuan
2013	—	`conf`	A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation. EMMCVPR Jun Liu, Xue-Cheng Tai, Shingyu Leung
2013	J	`jnl`	A Ridge and Corner Preserving Model for Surface Restoration. SIAM J. Sci. Comput. Rongjie Lai, Xue-Cheng Tai, Tony F. Chan
2013	J	`jnl`	A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise. IEEE Trans. Image Process. Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan
2013	J	`jnl`	Adaptive wavelet collocation methods for image segmentation using TV-Allen-Cahn type models. Adv. Comput. Math. Zhijian Rong, Li-Lian Wang, Xue-Cheng Tai
2013	—	`conf`	Convex Relaxations for a Generalized Chan-Vese Model. EMMCVPR Egil Bae, Jan Lellmann, Xue-Cheng Tai
2013	A*	`conf`	Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry. CVPR Jing Yuan, Wu Qiu, Martin Rajchl, Eranga Ukwatta, Xue-Cheng Tai, Aaron Fenster
2013	—	`ed.`	Energy Minimization Methods in Computer Vision and Pattern Recognition - 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings EMMCVPR Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai
2013	C	`conf`	Enhancing coded video quality with perceptual foveation driven bit allocation strategy. VCIP Junyong You, Xue-Cheng Tai
2013	J	`jnl`	Image Segmentation Using Euler's Elastica as the Regularization. J. Sci. Comput. Wei Zhu, Xue-Cheng Tai, Tony F. Chan
2013	—	`conf`	Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets. EMMCVPR Jing Yuan, Eranga Ukwatta, Wu Qiu, Martin Rajchl, Yue Sun, Xue-Cheng Tai, Aaron Fenster
2013	J	`jnl`	Multilayer graph cuts based unsupervised color-texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging. Pattern Recognit. Yong Yang, Shoudong Han, Tianjiang Wang, Wenbing Tao, Xue-Cheng Tai
2013	J	`jnl`	Reconstructing Open Surfaces via Graph-Cuts. IEEE Trans. Vis. Comput. Graph. Min Wan, Yu Wang, Egil Bae, Xue-Cheng Tai, Desheng Wang
2013	—	`ch.`	Simultaneous Convex Optimization of Regions and Region Parameters in Image Segmentation Models. Innovations for Shape Analysis, Models and Algorithms Egil Bae, Jing Yuan, Xue-Cheng Tai
2012	J	`jnl`	A Direct Approach Toward Global Minimization for Multiphase Labeling and Segmentation Problems. IEEE Trans. Image Process. Ying Gu, Li-Lian Wang, Xue-Cheng Tai
2012	J	`jnl`	Augmented Lagrangian Method for Generalized TV-Stokes Model. J. Sci. Comput. Jooyoung Hahn, Chunlin Wu, Xue-Cheng Tai
2012	J	`jnl`	Augmented Lagrangian Method for Total Variation Based Image Restoration and Segmentation Over Triangulated Surfaces. J. Sci. Comput. Chunlin Wu, Juyong Zhang, Yuping Duan, Xue-Cheng Tai
2012	J	`jnl`	Domain decomposition methods with graph cuts algorithms for total variation minimization. Adv. Comput. Math. Yuping Duan, Xue-Cheng Tai
2012	—	`conf`	Fast Regularization of Matrix-Valued Images. ECCV (3) Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein
2012	J	`jnl`	Geometry of total variation regularized L J. Comput. Appl. Math. Yuying Shi, Li-Lian Wang, Xue-Cheng Tai
2012	—	`conf`	Group-Valued Regularization for Analysis of Articulated Motion. ECCV Workshops (1) Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, Xue-Cheng Tai, Ron Kimmel
2011	—	`conf`	A Continuous Max-Flow Approach to Minimal Partitions with Label Cost Prior. SSVM Jing Yuan, Egil Bae, Yuri Boykov, Xue-Cheng Tai
2011	J	`jnl`	A Fast Algorithm for Euler's Elastica Model Using Augmented Lagrangian Method. SIAM J. Imaging Sci. Xue-Cheng Tai, Jooyoung Hahn, Ginmo Jason Chung
2011	—	`conf`	A Fast Algorithm for a Mean Curvature Based Image Denoising Model Using Augmented Lagrangian Method. Efficient Algorithms for Global Optimization Methods in Computer Vision Wei Zhu, Xue-Cheng Tai, Tony F. Chan
2011	—	`conf`	A Fast Augmented Lagrangian Method for Euler's Elastica Model. SSVM Yuping Duan, Yu Wang, Xue-Cheng Tai, Jooyoung Hahn
2011	—	`conf`	A Fast Continuous Max-Flow Approach to Non-convex Multi-labeling Problems. Efficient Algorithms for Global Optimization Methods in Computer Vision Egil Bae, Jing Yuan, Xue-Cheng Tai, Yuri Boykov
2011	J	`jnl`	A Modified TV-Stokes Model for Image Processing. SIAM J. Sci. Comput. William G. Litvinov, Talal Rahman, Xue-Cheng Tai
2011	—	`conf`	A Study on Convex Optimization Approaches to Image Fusion. SSVM Jing Yuan, Juan Shi, Xue-Cheng Tai, Yuri Boykov
2011	J	`jnl`	A fast segmentation method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation. Pattern Recognit. Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan
2011	J	`jnl`	Application of splitting scheme and multigrid method for TV-Stokes denoising. Sci. China Inf. Sci. Qianshun Chang, Xue-Cheng Tai, Lili Xing
2011	J	`jnl`	Compression and denoising using Comput. Optim. Appl. Andy C. Yau, Xue-Cheng Tai, Michael K. Ng
2011	—	`conf`	Curvature Minimization for Surface Reconstruction with Features. SSVM Juan Shi, Min Wan, Xue-Cheng Tai, Desheng Wang
2011	J	`jnl`	Efficient Algorithms for Global Optimisation Methods in Computer Vision (Dagstuhl Seminar 11471). Dagstuhl Reports Andrés Bruhn, Thomas Pock, Xue-Cheng Tai
2011	—	`conf`	Fast Algorithms for p-elastica Energy with the Application to Image Inpainting and Curve Reconstruction. SSVM Jooyoung Hahn, Ginmo Jason Chung, Yu Wang, Xue-Cheng Tai
2011	—	`conf`	Fast Regularization of Matrix-Valued Images. Efficient Algorithms for Global Optimization Methods in Computer Vision Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein
2011	J	`jnl`	Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach. Int. J. Comput. Vis. Egil Bae, Jing Yuan, Xue-Cheng Tai
2011	J	`jnl`	Graph Cuts for Curvature Based Image Denoising. IEEE Trans. Image Process. Egil Bae, Juan Shi, Xue-Cheng Tai
2011	J	`jnl`	Image denoising and deblurring: non-convex regularization, inverse diffusion and shock filter. Sci. China Inf. Sci. Shujun Fu, Caiming Zhang, Xue-Cheng Tai
2011	J	`jnl`	Introduction. Adv. Data Sci. Adapt. Anal. Thomas Y. Hou, Xue-Cheng Tai
2011	J	`jnl`	Multiple piecewise constant with geodesic active contours (MPC-GAC) framework for interactive image segmentation using graph cut optimization. Image Vis. Comput. Wenbing Tao, Xue-Cheng Tai
2011	J	`jnl`	On Semi-implicit Splitting Schemes for the Beltrami Color Image Filtering. J. Math. Imaging Vis. Guy Rosman, Lorina Dascal, Xue-Cheng Tai, Ron Kimmel
2011	J	`jnl`	Orientation-Matching Minimization for Image Denoising and Inpainting. Int. J. Comput. Vis. Jooyoung Hahn, Xue-Cheng Tai, Sofia Borok, Alfred M. Bruckstein
2011	—	`conf`	Robust Edge Detection Using Mumford-Shah Model and Binary Level Set Method. SSVM Li-Lian Wang, Yuying Shi, Xue-Cheng Tai
2011	—	`conf`	Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization. SSVM Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan
2010	—	`conf`	A Continuous Max-Flow Approach to Potts Model. ECCV (6) Jing Yuan, Egil Bae, Xue-Cheng Tai, Yuri Boykov
2010	J	`jnl`	A Level Set Formulation of Geodesic Curvature Flow on Simplicial Surfaces. IEEE Trans. Vis. Comput. Graph. Chunlin Wu, Xue-Cheng Tai
2010	A*	`conf`	A study on continuous max-flow and min-cut approaches. CVPR Jing Yuan, Egil Bae, Xue-Cheng Tai
2010	J	`jnl`	Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models. SIAM J. Imaging Sci. Chunlin Wu, Xue-Cheng Tai
2010	J	`jnl`	Fast image segmentation based on multilevel banded closed-form method. Pattern Recognit. Lett. Shoudong Han, Wenbing Tao, Xianglin Wu, Xue-Cheng Tai, Tianjiang Wang
2010	J	`jnl`	Mesh Snapping: Robust Interactive Mesh Cutting Using Fast Geodesic Curvature Flow. Comput. Graph. Forum Juyong Zhang, Chunlin Wu, Jianfei Cai, Jianmin Zheng, Xue-Cheng Tai
2010	—	`conf`	Polyakov Action Minimization for Efficient Color Image Processing. ECCV Workshops (1) Guy Rosman, Xue-Cheng Tai, Lorina Dascal, Ron Kimmel
2010	J	`jnl`	Reservoir description using a binary level set model. Comput. Vis. Sci. Lars Kristian Nielsen, Hongwei Li, Xue-Cheng Tai, Sigurd Ivar Aanonsen, Magne S. Espedal
2009	J	`jnl`	A Saddle Point Approach to the Computation of Harmonic Maps. SIAM J. Numer. Anal. Qiya Hu, Xue-Cheng Tai, Ragnar Winther
2009	J	`jnl`	A Unified Framework for Automated 3-D Segmentation of Surface-Stained Living Cells and a Comprehensive Segmentation Evaluation. IEEE Trans. Medical Imaging Erlend Hodneland, Nickolay V. Bukoreshtliev, Tilo Wolf Eichler, Xue-Cheng Tai, Steffen Gurke, Arvid Lundervold, Hans-Hermann Gerdes
2009	J	`jnl`	A dual algorithm for minimization of the LLT model. Adv. Comput. Math. Hua-zhu Chen, Jin-ping Song, Xue-Cheng Tai
2009	—	`conf`	An Algorithm of Texture Image Segmentation by Piecewise Constant Level Set Method Based on Image Decomposition. CSIE (7) Shuai-Jie Li, Jin-ping Song, Xue-Cheng Tai
2009	—	`conf`	Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model. SSVM Xue-Cheng Tai, Chunlin Wu
2009	—	`conf`	Efficient Global Minimization for the Multiphase Chan-Vese Model of Image Segmentation. EMMCVPR Egil Bae, Xue-Cheng Tai
2009	J	`jnl`	Four-Color Theorem and Level Set Methods for Watershed Segmentation. Int. J. Comput. Vis. Erlend Hodneland, Xue-Cheng Tai, Hans-Hermann Gerdes
2009	—	`conf`	Graph Cut Optimization for the Piecewise Constant Level Set Method Applied to Multiphase Image Segmentation. SSVM Egil Bae, Xue-Cheng Tai
2009	—	`conf`	Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization. SSVM Xue-Cheng Tai, Sofia Borok, Jooyoung Hahn
2009	J	`jnl`	Image Segmentation Based on GrabCut Framework Integrating Multiscale Nonlinear Structure Tensor. IEEE Trans. Image Process. Shoudong Han, Wenbing Tao, Desheng Wang, Xue-Cheng Tai, Xianglin Wu
2009	—	`conf`	L0-Norm and Total Variation for Wavelet Inpainting. SSVM Andy C. Yau, Xue-Cheng Tai, Michael K. Ng
2009	—	`conf`	On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems. SSVM Adriano DeCezaro, Antonio Leitão, Xue-Cheng Tai
2009	—	`conf`	On Semi-implicit Splitting Schemes for the Beltrami Color Flow. SSVM Lorina Dascal, Guy Rosman, Xue-Cheng Tai, Ron Kimmel
2009	—	`ed.`	Scale Space and Variational Methods in Computer Vision, Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings SSVM Xue-Cheng Tai, Knut Mørken, Marius Lysaker, Knut-Andreas Lie
2009	J	`jnl`	Scale-Space Analysis of Discrete Filtering over Arbitrary Triangulated Surfaces. SIAM J. Imaging Sci. Chunlin Wu, Jiansong Deng, Falai Chen, Xue-Cheng Tai
2007	J	`jnl`	A Nonlinear Multigrid Method for Total Variation Minimization from Image Restoration. J. Sci. Comput. Ke Chen, Xue-Cheng Tai
2007	—	`conf`	A TV-Stokes Denoising Algorithm. SSVM Talal Rahman, Xue-Cheng Tai, Stanley J. Osher
2007	J	`jnl`	Image Segmentation Using Some Piecewise Constant Level Set Methods with MBO Type of Projection. Int. J. Comput. Vis. Xue-Cheng Tai, Oddvar Christiansen, Ping Lin, Inge Skjælaaen
2007	J	`jnl`	Level Set Method for Positron Emission Tomography. Int. J. Biomed. Imaging Tony F. Chan, Hongwei Li, Marius Lysaker, Xue-Cheng Tai
2007	—	`conf`	Level Set Methods for Watershed Image Segmentation. SSVM Xue-Cheng Tai, Erlend Hodneland, Joachim Weickert, Nickolay V. Bukoreshtliev, Arvid Lundervold, Hans-Hermann Gerdes
2007	—	`conf`	Piecewise Constant Level Set Method for 3D Image Segmentation. SSVM Are Losnegård, Oddvar Christiansen, Xue-Cheng Tai
2006	J	`jnl`	A binary level set model and some applications to Mumford-Shah image segmentation. IEEE Trans. Image Process. Johan Lie, Marius Lysaker, Xue-Cheng Tai
2006	J	`jnl`	A variant of the level set method and applications to image segmentation. Math. Comput. Johan Lie, Marius Lysaker, Xue-Cheng Tai
2006	J	`jnl`	Iterative Image Restoration Combining Total Variation Minimization and a Second-Order Functional. Int. J. Comput. Vis. Marius Lysaker, Xue-Cheng Tai
2005	—	`conf`	Piecewise Constant Level Set Methods and Image Segmentation. Scale-Space Johan Lie, Ola Marius Lysaker, Xue-Cheng Tai
2004	J	`jnl`	Noise removal using smoothed normals and surface fitting. IEEE Trans. Image Process. Ola Marius Lysaker, Stanley J. Osher, Xue-Cheng Tai
2003	J	`jnl`	Convergence Rate Analysis of a Multiplicative Schwarz Method for Variational Inequalities. SIAM J. Numer. Anal. Lori Badea, Xue-Cheng Tai, Junping Wang
2003	J	`jnl`	Identification of Discontinuous Coefficients in Elliptic Problems Using Total Variation Regularization. SIAM J. Sci. Comput. Tony F. Chan, Xue-Cheng Tai
2003	J	`jnl`	Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time. IEEE Trans. Image Process. Marius Lysaker, Arvid Lundervold, Xue-Cheng Tai
2003	J	`jnl`	Rate of Convergence for some constraint decomposition methods for nonlinear variational inequalities. Numerische Mathematik Xue-Cheng Tai
2002	J	`jnl`	A Robust Finite Element Method for Darcy-Stokes Flow. SIAM J. Numer. Anal. Kent-André Mardal, Xue-Cheng Tai, Ragnar Winther
2002	J	`jnl`	Convergence rate analysis of an asynchronous space decomposition method for convex Minimization. Math. Comput. Xue-Cheng Tai, Paul Tseng
2002	Misc	`conf`	Domain Decomposition and Multigrid Methods for Obstacle Problems. International Conference on Computational Science (1) Xue-Cheng Tai
2002	J	`jnl`	Global and uniform convergence of subspace correction methods for some convex optimization problems. Math. Comput. Xue-Cheng Tai, Jinchao Xu
2002	—	`conf`	Level set methods for a parameter identification problem. Analysis and Optimization of Differential Systems Bjørn-Ove Heimsund, Tony F. Chan, Trygve K. Nilssen, Xue-Cheng Tai
2002	J	`jnl`	Superconvergence for the Gradient of Finite Element Approximations by SIAM J. Numer. Anal. Bjørn-Ove Heimsund, Xue-Cheng Tai, Junping Wang
2001	J	`jnl`	A robust nonconforming H Math. Comput. Trygve K. Nilssen, Xue-Cheng Tai, Ragnar Winther
2001	J	`jnl`	Convergence rate analysis of domain decomposition methods for obstacle problems. J. Num. Math. Xue-Cheng Tai
1998	J	`jnl`	A hybrid nonoverlapping domain decomposition scheme for advection dominated advection-diffusion problems. Numer. Algorithms Magne S. Espedal, Xue-Cheng Tai, Ningning Yan
1992	J	`jnl`	Global extrapolation with a parallel splitting method. Numer. Algorithms Xue-Cheng Tai