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2020 – today
- 2024
[j91]Lingfeng Li
, Xue-Cheng Tai, Raymond Honfu Chan:
A new method to compute the blood flow equations using the physics-informed neural operator. J. Comput. Phys. 519: 113380 (2024)- [j90]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): 44 (2024) - [j89]Xinyi Li, Jing Yuan, Xue-Cheng Tai, Sanyang Liu:
Efficient Convex Optimization for Non-convex Non-smooth Image Restoration. J. Sci. Comput. 99(2): 57 (2024) - [j88]Fan Jia, Shen Mao, Xue-Cheng Tai, Tieyong Zeng:
A Variational Model for Nonuniform Low-Light Image Enhancement. SIAM J. Imaging Sci. 17(1): 1-30 (2024) - [j87]Xue-Cheng Tai, Hao Liu, Raymond Chan:
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. SIAM J. Imaging Sci. 17(1): 540-594 (2024) - [j86]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): 290- (2024) - [j85]Han Zhang, Raymond H. Chan, Xue-Cheng Tai:
A Meshless Solver for Blood Flow Simulations in Elastic Vessels Using a Physics-Informed Neural Network. SIAM J. Sci. Comput. 46(4): 479- (2024) - [i33]Hao Liu, Jun Liu, Raymond H. Chan, Xue-Cheng Tai:
Double-well Net for Image Segmentation. CoRR abs/2401.00456 (2024) - [i32]Lingfeng Li, Xue-Cheng Tai, Raymond Chan:
BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet. CoRR abs/2402.18886 (2024) - [i31]Kehui Zhang, Lingfeng Li, Hao Liu, Jing Yuan, Xue-Cheng Tai:
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation. CoRR abs/2406.19400 (2024) - [i30]Xue-Cheng Tai, Hao Liu, Raymond H. Chan, Lingfeng Li:
A Mathematical Explanation of UNet. CoRR abs/2410.04434 (2024) - 2023
- [j84]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): 8433-8452 (2023) - [j83]Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski:
Elastica Models for Color Image Regularization. SIAM J. Imaging Sci. 16(1): 461-500 (2023) - [j82]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): 2062-2083 (2023) - [i29]Xinhua Shen, Hongpeng Sun, Xue-Cheng Tai:
Preconditioned Algorithm for Difference of Convex Functions with applications to Graph Ginzburg-Landau Model. CoRR abs/2303.14495 (2023) - [i28]Xue-Cheng Tai, Hao Liu, Raymond H. Chan:
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. CoRR abs/2307.09039 (2023) - [i27]Hao Liu, Xue-Cheng Tai, Raymond H. Chan:
Connections between Operator-splitting Methods and Deep Neural Networks with Applications in Image Segmentation. CoRR abs/2307.09052 (2023) - [i26]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 abs/2308.13471 (2023) - [i25]Han Zhang, Raymond H. Chan, Xue-Cheng Tai:
A Meshless Solver for Blood Flow Simulations in Elastic Vessels Using Physics-Informed Neural Network. CoRR abs/2312.05601 (2023) - 2022
- [j81]Shousheng Luo, Xue-Cheng Tai, Roland Glowinski:
Convex Object(s) Characterization and Segmentation Using Level Set Function. J. Math. Imaging Vis. 64(1): 68-88 (2022) - [j80]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): 625-645 (2022) - [j79]Yuping Duan, Qiuxiang Zhong, Xue-Cheng Tai, Roland Glowinski:
A Fast Operator-splitting Method for Beltrami Color Image Denoising. J. Sci. Comput. 92(3): 89 (2022) - [j78]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): 935- (2022) - [i24]Yumeng Ren, Yiming Gao, Chunlin Wu, Xue-Cheng Tai:
IDmUNet: A new image decomposition induced network for sparse feature segmentation. CoRR abs/2203.02690 (2022) - [i23]Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski:
Elastica Models for Color Image Regularization. CoRR abs/2203.09995 (2022) - [i22]Shousheng Luo, Jinfeng Chen, Yunhai Xiao, Xue-Cheng Tai:
Multiple Convex Objects Image Segmentation via Proximal Alternating Direction Method of Multipliers. CoRR abs/2203.11395 (2022) - [i21]Lingfeng Li, Xue-Cheng Tai, Jiang Yang, Quanhui Zhu:
Priori Error Estimate of Deep Mixed Residual Method for Elliptic PDEs. CoRR abs/2206.07474 (2022) - [i20]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 abs/2208.01390 (2022) - 2021
- [j77]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): 101 (2021) - [j76]Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski:
A Color Elastica Model for Vector-Valued Image Regularization. SIAM J. Imaging Sci. 14(2): 717-748 (2021) - [j75]Hongpeng Sun, Xue-Cheng Tai, Jing Yuan:
Efficient and Convergent Preconditioned ADMM for the Potts Models. SIAM J. Sci. Comput. 43(2): B455-B478 (2021) - [j74]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): B570-B597 (2021) - [j73]Lihong Guo, Yueyun Liu, Yu Wang, Yuping Duan, Xue-Cheng Tai:
Learned snakes for 3D image segmentation. Signal Process. 183: 108013 (2021) - [i19]Lingfeng Li, Xue-Cheng Tai, Jiang Yang:
Generalization Error Analysis of Neural networks with Gradient Based Regularization. CoRR abs/2107.02797 (2021) - [i18]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 abs/2108.01914 (2021) - 2020
- [j72]Weina Wang, Chunlin Wu, Xue-Cheng Tai:
A Globally Convergent Algorithm for a Constrained Non-Lipschitz Image Restoration Model. J. Sci. Comput. 83(1): 14 (2020) - [j71]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: 102845 (2020) - [j70]Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang:
Convexity Shape Prior for Level Set-Based Image Segmentation Method. IEEE Trans. Image Process. 29: 7141-7152 (2020) - [i17]Jun Liu, Xiangyue Wang, Xue-Cheng Tai:
Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-shape Priori for Image Segmentation. CoRR abs/2002.03989 (2020) - [i16]Shousheng Luo, Xue-Cheng Tai, Yang Wang:
Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms. CoRR abs/2002.09600 (2020) - [i15]Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang:
A level set representation method for N-dimensional convex shape and applications. CoRR abs/2003.09600 (2020) - [i14]Jun Liu, Xue-Cheng Tai, Shousheng Luo:
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation. CoRR abs/2005.07476 (2020) - [i13]Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski:
A Color Elastica Model for Vector-Valued Image Regularization. CoRR abs/2008.08255 (2020) - [i12]Bin Wu, Xue-Cheng Tai, Talal Rahman:
Multidimensional TV-Stokes for image processing. CoRR abs/2009.11971 (2020) - [i11]Bin Wu, Xue-Cheng Tai, Talal Rahman:
Alternating minimization for a single step TV-Stokes model for image denoising. CoRR abs/2009.11973 (2020) - [i10]Bin Wu, Leszek Marcinkowski, Xue-Cheng Tai, Talal Rahman:
Iterative regularization algorithms for image denoising with the TV-Stokes model. CoRR abs/2009.11976 (2020) - [i9]Bin Wu, Xue-Cheng Tai, Talal Rahman:
Sparse-data based 3D surface reconstruction with vector matching. CoRR abs/2009.12994 (2020) - [i8]Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng:
Overlapping Domain Decomposition Methods for Ptychographic Imaging. CoRR abs/2011.00162 (2020)
2010 – 2019
- 2019
- [j69]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: 76-89 (2019) - [j68]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): 1190-1230 (2019) - [c45]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: 613-621 - [c44]Jia Fan, Xue-Cheng Tai:
Regularized UNet for Automated Pancreas Segmentation. ISICDM 2019: 113-117 - [c43]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: 288-292 - [c42]Shousheng Luo, Keke Kang, Yang Wang, Xue-Cheng Tai:
Low-dose X-ray Computed Tomography Image Reconstruction Using Edge Sparsity Regularization. ISICDM 2019: 303-307 - [c41]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: 144-155 - [c40]Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang:
A Variational Convex Hull Algorithm. SSVM 2019: 224-235 - [c39]Alexander Malyshev, Xue-Cheng Tai:
Variational Model for Depth Estimation from Images. SKIMA 2019: 1-8 - [i7]Fan Jia, Jun Liu, Xue-Cheng Tai:
A Regularized Convolutional Neural Network for Semantic Image Segmentation. CoRR abs/1907.05287 (2019) - [i6]Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang:
Convex hull algorithms based on some variational models. CoRR abs/1908.03323 (2019) - [i5]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 abs/1909.09931 (2019) - [i4]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 abs/1912.07811 (2019) - 2018
- [j67]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): 401-421 (2018) - [j66]Ke Yin, Xue-Cheng Tai:
An Effective Region Force for Some Variational Models for Learning and Clustering. J. Sci. Comput. 74(1): 175-196 (2018) - [j65]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): 2439-2464 (2018) - [i3]Shi Yan, Xue-Cheng Tai, Jun Liu, Haiyang Huang:
Convexity Shape Prior for Level Set based Image Segmentation Method. CoRR abs/1805.08676 (2018) - 2017
- [c38]Jing Yuan, Ke Yin, Yi-Guang Bai, Xiang-Chu Feng, Xue-Cheng Tai:
Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image Segmentation. SSVM 2017: 524-534 - [i2]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 abs/1704.08218 (2017) - 2016
- [j64]Liangpei Zhang, Gui-Song Xia, Tianfu Wu, Liang Lin, Xue-Cheng Tai:
Deep Learning for Remote Sensing Image Understanding. J. Sensors 2016: 7954154:1-7954154:2 (2016) - [j63]Yuping Duan, Huibin Chang, Xue-Cheng Tai:
Convergent Non-overlapping Domain Decomposition Methods for Variational Image Segmentation. J. Sci. Comput. 69(2): 532-555 (2016) - [j62]Erlend Hodneland, Xue-Cheng Tai, Henrik Kalisch:
PDE Based Algorithms for Smooth Watersheds. IEEE Trans. Medical Imaging 35(4): 957-966 (2016) - 2015
- [j61]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): 853-876 (2015) - [j60]Egil Bae, Xue-Cheng Tai:
Efficient Global Minimization Methods for Image Segmentation Models with Four Regions. J. Math. Imaging Vis. 51(1): 71-97 (2015) - [j59]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): 414-435 (2015) - [j58]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): 564-591 (2015) - [e4]Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker:
Energy Minimization Methods in Computer Vision and Pattern Recognition - 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings. Lecture Notes in Computer Science 8932, Springer 2015, ISBN 978-3-319-14611-9 [contents] - 2014
- [j57]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): 191-201 (2014) - [j56]Huibin Chang, Xiaoqun Zhang, Xue-Cheng Tai, Danping Yang:
Domain Decomposition Methods for Nonlocal Total Variation Image Restoration. J. Sci. Comput. 60(1): 79-100 (2014) - [j55]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): 1472-1488 (2014) - [j54]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): 559-587 (2014) - [c37]Egil Bae, Xue-Cheng Tai, Jing Yuan:
Maximizing Flows with Message-Passing: Computing Spatially Continuous Min-Cuts. EMMCVPR 2014: 15-28 - [c36]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: 278-291 - [c35]Huibin Chang, Xue-Cheng Tai, Danping Yang:
Domain Decomposition Methods for Total Variation Minimization. EMMCVPR 2014: 335-349 - [p2]Ping Lin, Xue-Cheng Tai:
An Augmented Lagrangian Method for the Microstructure of a Liquid Crystal Model. Modeling, Simulation and Optimization for Science and Technology 2014: 123-137 - [e3]Andrés Bruhn, Thomas Pock, Xue-Cheng Tai:
Efficient Algorithms for Global Optimization Methods in Computer Vision - International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers. Lecture Notes in Computer Science 8293, Springer 2014, ISBN 978-3-642-54773-7 [contents] - 2013
- [j53]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): 101-131 (2013) - [j52]Wei Zhu, Xue-Cheng Tai, Tony F. Chan:
Image Segmentation Using Euler's Elastica as the Regularization. J. Sci. Comput. 57(2): 414-438 (2013) - [j51]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): 1101-1124 (2013) - [j50]Rongjie Lai, Xue-Cheng Tai, Tony F. Chan:
A Ridge and Corner Preserving Model for Surface Restoration. SIAM J. Sci. Comput. 35(2) (2013) - [j49]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): 1108-1120 (2013) - [j48]Min Wan, Yu Wang, Egil Bae, Xue-Cheng Tai, Desheng Wang:
Reconstructing Open Surfaces via Graph-Cuts. IEEE Trans. Vis. Comput. Graph. 19(2): 306-318 (2013) - [c34]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: 2211-2218 - [c33]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: 12-25 - [c32]Egil Bae, Jan Lellmann, Xue-Cheng Tai:
Convex Relaxations for a Generalized Chan-Vese Model. EMMCVPR 2013: 223-236 - [c31]Jun Liu, Xue-Cheng Tai, Shingyu Leung:
A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation. EMMCVPR 2013: 251-265 - [c30]Junyong You, Xue-Cheng Tai:
Enhancing coded video quality with perceptual foveation driven bit allocation strategy. VCIP 2013: 1-6 - [p1]Egil Bae, Jing Yuan, Xue-Cheng Tai:
Simultaneous Convex Optimization of Regions and Region Parameters in Image Segmentation Models. Innovations for Shape Analysis, Models and Algorithms 2013: 421-438 - [e2]Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai:
Energy Minimization Methods in Computer Vision and Pattern Recognition - 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings. Lecture Notes in Computer Science 8081, Springer 2013, ISBN 978-3-642-40394-1 [contents] - 2012
- [j47]Yuping Duan, Xue-Cheng Tai:
Domain decomposition methods with graph cuts algorithms for total variation minimization. Adv. Comput. Math. 36(2): 175-199 (2012) - [j46]Yuying Shi, Li-Lian Wang, Xue-Cheng Tai:
Geometry of total variation regularized Lp-model. J. Comput. Appl. Math. 236(8): 2223-2234 (2012) - [j45]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): 145-166 (2012) - [j44]Jooyoung Hahn, Chunlin Wu, Xue-Cheng Tai:
Augmented Lagrangian Method for Generalized TV-Stokes Model. J. Sci. Comput. 50(2): 235-264 (2012) - [j43]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): 2399-2411 (2012) - [c29]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: 52-62 - [c28]Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein:
Fast Regularization of Matrix-Valued Images. ECCV (3) 2012: 173-186 - 2011
- [j42]Thomas Y. Hou, Xue-Cheng Tai:
Introduction. Adv. Data Sci. Adapt. Anal. 3(1-2) (2011) - [j41]Qianshun Chang, Xue-Cheng Tai, Lili Xing:
Application of splitting scheme and multigrid method for TV-Stokes denoising. Sci. China Inf. Sci. 54(4): 745-756 (2011) - [j40]Shujun Fu, Caiming Zhang, Xue-Cheng Tai:
Image denoising and deblurring: non-convex regularization, inverse diffusion and shock filter. Sci. China Inf. Sci. 54(6): 1184-1198 (2011) - [j39]Andy C. Yau, Xue-Cheng Tai, Michael K. Ng:
Compression and denoising using l0-norm. Comput. Optim. Appl. 50(2): 425-444 (2011) - [j38]Egil Bae, Jing Yuan, Xue-Cheng Tai:
Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach. Int. J. Comput. Vis. 92(1): 112-129 (2011) - [j37]Jooyoung Hahn, Xue-Cheng Tai, Sofia Borok, Alfred M. Bruckstein:
Orientation-Matching Minimization for Image Denoising and Inpainting. Int. J. Comput. Vis. 92(3): 308-324 (2011) - [j36]Wenbing Tao, Xue-Cheng Tai:
Multiple piecewise constant with geodesic active contours (MPC-GAC) framework for interactive image segmentation using graph cut optimization. Image Vis. Comput. 29(8): 499-508 (2011) - [j35]Guy Rosman, Lorina Dascal, Xue-Cheng Tai, Ron Kimmel:
On Semi-implicit Splitting Schemes for the Beltrami Color Image Filtering. J. Math. Imaging Vis. 40(2): 199-213 (2011) - [j34]Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan:
A fast segmentation method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation. Pattern Recognit. 44(9): 2093-2108 (2011) - [j33]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): 313-344 (2011) - [j32]William G. Litvinov, Talal Rahman, Xue-Cheng Tai:
A Modified TV-Stokes Model for Image Processing. SIAM J. Sci. Comput. 33(4): 1574-1597 (2011) - [j31]Egil Bae, Juan Shi, Xue-Cheng Tai:
Graph Cuts for Curvature Based Image Denoising. IEEE Trans. Image Process. 20(5): 1199-1210 (2011) - [c27]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: 19-43 - [c26]Wei Zhu, Xue-Cheng Tai, Tony F. Chan:
A Fast Algorithm for a Mean Curvature Based Image Denoising Model Using Augmented Lagrangian Method. Efficient Algorithms for Global Optimization Methods in Computer Vision 2011: 104-118 - [c25]Egil Bae, Jing Yuan, Xue-Cheng Tai, Yuri Boykov:
A Fast Continuous Max-Flow Approach to Non-convex Multi-labeling Problems. Efficient Algorithms for Global Optimization Methods in Computer Vision 2011: 134-154 - [c24]Jing Yuan, Juan Shi, Xue-Cheng Tai, Yuri Boykov:
A Study on Convex Optimization Approaches to Image Fusion. SSVM 2011: 122-133 - [c23]Yuping Duan, Yu Wang, Xue-Cheng Tai, Jooyoung Hahn:
A Fast Augmented Lagrangian Method for Euler's Elastica Model. SSVM 2011: 144-156 - [c22]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: 169-182 - [c21]Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan:
Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization. SSVM 2011: 218-230 - [c20]Jing Yuan, Egil Bae, Yuri Boykov, Xue-Cheng Tai:
A Continuous Max-Flow Approach to Minimal Partitions with Label Cost Prior. SSVM 2011: 279-290 - [c19]Li-Lian Wang, Yuying Shi, Xue-Cheng Tai:
Robust Edge Detection Using Mumford-Shah Model and Binary Level Set Method. SSVM 2011: 291-301 - [c18]Juan Shi, Min Wan, Xue-Cheng Tai, Desheng Wang:
Curvature Minimization for Surface Reconstruction with Features. SSVM 2011: 495-507 - [i1]Andrés Bruhn, Thomas Pock, Xue-Cheng Tai:
Efficient Algorithms for Global Optimisation Methods in Computer Vision (Dagstuhl Seminar 11471). Dagstuhl Reports 1(11): 66-90 (2011) - 2010
- [j30]Juyong Zhang, Chunlin Wu, Jianfei Cai, Jianmin Zheng, Xue-Cheng Tai:
Mesh Snapping: Robust Interactive Mesh Cutting Using Fast Geodesic Curvature Flow. Comput. Graph. Forum 29(2): 517-526 (2010) - [j29]Lars Kristian Nielsen, Hongwei Li, Xue-Cheng Tai, Sigurd Ivar Aanonsen, Magne S. Espedal:
Reservoir description using a binary level set model. Comput. Vis. Sci. 13(1): 41-58 (2010) - [j28]Shoudong Han, Wenbing Tao, Xianglin Wu, Xue-Cheng Tai, Tianjiang Wang:
Fast image segmentation based on multilevel banded closed-form method. Pattern Recognit. Lett. 31(3): 216-225 (2010) - [j27]Chunlin Wu, Xue-Cheng Tai:
Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models. SIAM J. Imaging Sci. 3(3): 300-339 (2010) - [j26]Chunlin Wu, Xue-Cheng Tai:
A Level Set Formulation of Geodesic Curvature Flow on Simplicial Surfaces. IEEE Trans. Vis. Comput. Graph. 16(4): 647-662 (2010) - [c17]Jing Yuan, Egil Bae, Xue-Cheng Tai:
A study on continuous max-flow and min-cut approaches. CVPR 2010: 2217-2224 - [c16]Guy Rosman, Xue-Cheng Tai, Lorina Dascal, Ron Kimmel:
Polyakov Action Minimization for Efficient Color Image Processing. ECCV Workshops (1) 2010: 50-61 - [c15]Jing Yuan, Egil Bae, Xue-Cheng Tai, Yuri Boykov:
A Continuous Max-Flow Approach to Potts Model. ECCV (6) 2010: 379-392
2000 – 2009
- 2009
- [j25]Hua-zhu Chen, Jin-ping Song, Xue-Cheng Tai:
A dual algorithm for minimization of the LLT model. Adv. Comput. Math. 31(1-3): 115-130 (2009) - [j24]Erlend Hodneland, Xue-Cheng Tai, Hans-Hermann Gerdes:
Four-Color Theorem and Level Set Methods for Watershed Segmentation. Int. J. Comput. Vis. 82(3): 264-283 (2009) - [j23]Chunlin Wu, Jiansong Deng, Falai Chen, Xue-Cheng Tai:
Scale-Space Analysis of Discrete Filtering over Arbitrary Triangulated Surfaces. SIAM J. Imaging Sci. 2(2): 670-709 (2009) - [j22]Qiya Hu, Xue-Cheng Tai, Ragnar Winther:
A Saddle Point Approach to the Computation of Harmonic Maps. SIAM J. Numer. Anal. 47(2): 1500-1523 (2009) - [j21]Shoudong Han, Wenbing Tao, Desheng Wang, Xue-Cheng Tai, Xianglin Wu:
Image Segmentation Based on GrabCut Framework Integrating Multiscale Nonlinear Structure Tensor. IEEE Trans. Image Process. 18(10): 2289-2302 (2009) - [j20]Erlend Hodneland, Nickolay V. Bukoreshtliev, Tilo Wolf Eichler, Xue-Cheng Tai, Steffen Gurke, Arvid Lundervold, Hans-Hermann Gerdes:
A Unified Framework for Automated 3-D Segmentation of Surface-Stained Living Cells and a Comprehensive Segmentation Evaluation. IEEE Trans. Medical Imaging 28(5): 720-738 (2009) - [c14]Shuai-jie Li, Jin-ping Song, Xue-Cheng Tai:
An Algorithm of Texture Image Segmentation by Piecewise Constant Level Set Method Based on Image Decomposition. CSIE (7) 2009: 163-168 - [c13]Egil Bae, Xue-Cheng Tai:
Efficient Global Minimization for the Multiphase Chan-Vese Model of Image Segmentation. EMMCVPR 2009: 28-41 - [c12]Egil Bae, Xue-Cheng Tai:
Graph Cut Optimization for the Piecewise Constant Level Set Method Applied to Multiphase Image Segmentation. SSVM 2009: 1-13 - [c11]Adriano DeCezaro, Antonio Leitão, Xue-Cheng Tai:
On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems. SSVM 2009: 50-62 - [c10]Lorina Dascal, Guy Rosman, Xue-Cheng Tai, Ron Kimmel:
On Semi-implicit Splitting Schemes for the Beltrami Color Flow. SSVM 2009: 259-270 - [c9]Xue-Cheng Tai, Sofia Borok, Jooyoung Hahn:
Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization. SSVM 2009: 490-501 - [c8]Xue-Cheng Tai, Chunlin Wu:
Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model. SSVM 2009: 502-513 - [c7]Andy C. Yau, Xue-Cheng Tai, Michael K. Ng:
L0-Norm and Total Variation for Wavelet Inpainting. SSVM 2009: 539-551 - [e1]Xue-Cheng Tai, Knut Mørken, Marius Lysaker, Knut-Andreas Lie:
Scale Space and Variational Methods in Computer Vision, Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings. Lecture Notes in Computer Science 5567, Springer 2009, ISBN 978-3-642-02255-5 [contents] - 2007
- [j19]Tony F. Chan, Hongwei Li, Marius Lysaker, Xue-Cheng Tai:
Level Set Method for Positron Emission Tomography. Int. J. Biomed. Imaging 2007: 26950:1-26950:15 (2007) - [j18]Xue-Cheng Tai, Oddvar Christiansen, Ping Lin, Inge Skjælaaen:
Image Segmentation Using Some Piecewise Constant Level Set Methods with MBO Type of Projection. Int. J. Comput. Vis. 73(1): 61-76 (2007) - [j17]Ke Chen, Xue-Cheng Tai:
A Nonlinear Multigrid Method for Total Variation Minimization from Image Restoration. J. Sci. Comput. 33(2): 115-138 (2007) - [c6]Xue-Cheng Tai, Erlend Hodneland, Joachim Weickert, Nickolay V. Bukoreshtliev, Arvid Lundervold, Hans-Hermann Gerdes:
Level Set Methods for Watershed Image Segmentation. SSVM 2007: 178-190 - [c5]Talal Rahman, Xue-Cheng Tai, Stanley J. Osher:
A TV-Stokes Denoising Algorithm. SSVM 2007: 473-483 - [c4]Are Losnegård, Oddvar Christiansen, Xue-Cheng Tai:
Piecewise Constant Level Set Method for 3D Image Segmentation. SSVM 2007: 687-696 - 2006
- [j16]Marius Lysaker, Xue-Cheng Tai:
Iterative Image Restoration Combining Total Variation Minimization and a Second-Order Functional. Int. J. Comput. Vis. 66(1): 5-18 (2006) - [j15]Johan Lie, Marius Lysaker, Xue-Cheng Tai:
A variant of the level set method and applications to image segmentation. Math. Comput. 75(255): 1155-1174 (2006) - [j14]Johan Lie, Marius Lysaker, Xue-Cheng Tai:
A binary level set model and some applications to Mumford-Shah image segmentation. IEEE Trans. Image Process. 15(5): 1171-1181 (2006) - 2005
- [c3]Johan Lie, Ola Marius Lysaker, Xue-Cheng Tai:
Piecewise Constant Level Set Methods and Image Segmentation. Scale-Space 2005: 573-584 - 2004
- [j13]Ola Marius Lysaker, Stanley J. Osher, Xue-Cheng Tai:
Noise removal using smoothed normals and surface fitting. IEEE Trans. Image Process. 13(10): 1345-1357 (2004) - 2003
- [j12]Xue-Cheng Tai:
Rate of Convergence for some constraint decomposition methods for nonlinear variational inequalities. Numerische Mathematik 93(4): 755-786 (2003) - [j11]Lori Badea, Xue-Cheng Tai, Junping Wang:
Convergence Rate Analysis of a Multiplicative Schwarz Method for Variational Inequalities. SIAM J. Numer. Anal. 41(3): 1052-1073 (2003) - [j10]Tony F. Chan, Xue-Cheng Tai:
Identification of Discontinuous Coefficients in Elliptic Problems Using Total Variation Regularization. SIAM J. Sci. Comput. 25(3): 881-904 (2003) - [j9]Marius Lysaker, Arvid Lundervold, Xue-Cheng Tai:
Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time. IEEE Trans. Image Process. 12(12): 1579-1590 (2003) - 2002
- [j8]Xue-Cheng Tai, Jinchao Xu:
Global and uniform convergence of subspace correction methods for some convex optimization problems. Math. Comput. 71(237): 105-124 (2002) - [j7]Xue-Cheng Tai, Paul Tseng:
Convergence rate analysis of an asynchronous space decomposition method for convex Minimization. Math. Comput. 71(239): 1105-1135 (2002) - [j6]Bjørn-Ove Heimsund, Xue-Cheng Tai, Junping Wang:
Superconvergence for the Gradient of Finite Element Approximations by L2 Projections. SIAM J. Numer. Anal. 40(4): 1263-1280 (2002) - [j5]Kent-André Mardal, Xue-Cheng Tai, Ragnar Winther:
A Robust Finite Element Method for Darcy-Stokes Flow. SIAM J. Numer. Anal. 40(5): 1605-1631 (2002) - [c2]Xue-Cheng Tai:
Domain Decomposition and Multigrid Methods for Obstacle Problems. International Conference on Computational Science (1) 2002: 345-352 - [c1]Bjørn-Ove Heimsund, Tony F. Chan, Trygve K. Nilssen, Xue-Cheng Tai:
Level set methods for a parameter identification problem. Analysis and Optimization of Differential Systems 2002: 189-200 - 2001
- [j4]Xue-Cheng Tai:
Convergence rate analysis of domain decomposition methods for obstacle problems. J. Num. Math. 9(3): 233-252 (2001) - [j3]Trygve K. Nilssen, Xue-Cheng Tai, Ragnar Winther:
A robust nonconforming H2-element. Math. Comput. 70(234): 489-505 (2001)
1990 – 1999
- 1998
- [j2]Magne S. Espedal, Xue-Cheng Tai, Ningning Yan:
A hybrid nonoverlapping domain decomposition scheme for advection dominated advection-diffusion problems. Numer. Algorithms 18(3-4): 321-336 (1998) - 1992
- [j1]Xue-Cheng Tai:
Global extrapolation with a parallel splitting method. Numer. Algorithms 3(1): 427-440 (1992)
Coauthor Index
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