


default search action
Xue-Cheng Tai
Xuecheng Tai
Person information
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
- [j95]Kehui Zhang, Lingfeng Li, Hao Liu, Jing Yuan, Xue-Cheng Tai:
Deep convolutional neural networks meet variational shape compactness priors for image segmentation. Neurocomputing 623: 129395 (2025) - 2024
- [j94]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) - [j93]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) - [j92]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) - [j91]Hao Liu
, Jun Liu
, Raymond H. Chan
, Xue-Cheng Tai
:
Double-Well Net for Image Segmentation. Multiscale Model. Simul. 22(4): 1449-1477 (2024) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [i35]Hao Liu, Jun Liu, Raymond H. Chan, Xue-Cheng Tai:
Double-well Net for Image Segmentation. CoRR abs/2401.00456 (2024) - [i34]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) - [i33]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) - [i32]Xue-Cheng Tai, Hao Liu, Raymond H. Chan, Lingfeng Li:
A Mathematical Explanation of UNet. CoRR abs/2410.04434 (2024) - 2023
- [j86]Xinhua Shen, Hongpeng Sun
, Xuecheng Tai
:
Preconditioned Algorithm for Difference of Convex Functions with Applications to Graph Ginzburg-Landau Model. Multiscale Model. Simul. 21(4): 1667-1689 (2023) - [j85]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) - [j84]Hao Liu
, Xue-Cheng Tai
, Ron Kimmel, Roland Glowinski:
Elastica Models for Color Image Regularization. SIAM J. Imaging Sci. 16(1): 461-500 (2023) - [j83]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) - [i31]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) - [i30]Xue-Cheng Tai, Hao Liu, Raymond H. Chan:
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. CoRR abs/2307.09039 (2023) - [i29]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) - [i28]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) - [i27]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
- [j82]Huazhu Chen, Xuecheng Tai
, Weiwei Wang:
Multi-view subspace clustering with inter-cluster consistency and intra-cluster diversity among views. Appl. Intell. 52(8): 9239-9255 (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) - [c47]Yin Xian
, Haiguang Liu, Xuecheng Tai, Yang Wang:
Variance-Reduced Randomized Kaczmarz Algorithm In Xfel Single-Particle Imaging Phase Retrieval. ICIP 2022: 3186-3190 - [i26]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) - [i25]Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski:
Elastica Models for Color Image Regularization. CoRR abs/2203.09995 (2022) - [i24]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) - [i23]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) - [i22]Yin Xian, Haiguang Liu, Xuecheng Tai, Yang Wang:
Randomized Kaczmarz Method for Single Particle X-ray Image Phase Retrieval. CoRR abs/2207.04736 (2022) - [i21]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) - [c46]Da Chen, Laurent D. Cohen, Jean-Marie Mirebeau, Xuecheng Tai
:
An Elastica Geodesic Approach with Convexity Shape Prior. ICCV 2021: 6880-6889 - [i20]Lingfeng Li, Xue-Cheng Tai, Jiang Yang:
Generalization Error Analysis of Neural networks with Gradient Based Regularization. CoRR abs/2107.02797 (2021) - [i19]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) - [i18]Da Chen, Jean-Marie Mirebeau, Minglei Shu, Xuecheng Tai, Laurent D. Cohen:
Geodesic Models with Convexity Shape Prior. CoRR abs/2111.00794 (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]