Xuecheng Tai

Computer Vision and Pattern Recognition · 2003–2010

A researcher in the Science corpus: 8 papers; trusts 34 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #7,001 of 21,575 by trust here, #12,172 by citations
• Computational Mechanics — 25 citations into it; #2,038 of 10,001 by trust here, #3,908 by citations
• Mathematical Physics — 19 citations into it; #1,446 of 8,562 by trust here, #2,200 by citations
• Computational Theory and Mathematics — 10 citations into it; #8,075 of 12,182 by trust here, #9,306 by citations
• Computer Graphics and Computer-Aided Design — 8 citations into it
• Civil and Structural Engineering — 7 citations into it
• Electrical and Electronic Engineering — 7 citations into it; #4,809 of 16,539 by trust here, #12,727 by citations
• Biomedical Engineering — 6 citations into it

Whom Xuecheng Tai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tony F. Chan
2. Stanley J. Osher
3. Martin Burger
4. Ola Marius Lysaker
5. Luminita A. Vese
6. Oliver Dorn
7. Hongkai Zhao
8. Antonin Chambolle
9. James A. Sethian
10. Eric T. Chung

Who trusts Xuecheng Tai overall

1. Chunlin Wu
2. Michael Cardiff
3. Mark S. Gockenbach
4. Hongwei Li
5. Tony F. Chan
6. Martin Burger
7. Vincent Sitzmann
8. Manuchehr Soleimani
9. Arvid Lundervold
10. Ola Marius Lysaker

Papers from Xuecheng Tai's perspective

Ordered by how strongly the researchers Xuecheng Tai trusts endorse each paper. Same corpus, a different order for every researcher.

1. Nonlinear total variation based noise removal algorithms
2. Active contours without edges
3. An Algorithm for Total Variation Minimization and Applications (Journal of Mathematical Imaging and Vision)
4. A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (International Journal of Computer Vision)
5. Level set and total variation regularization for elliptic inverse problems with discontinuous coefficients
6. User’s guide to viscosity solutions of second order partial differential equations
7. Snakes: Active contour models
8. ImageNet classification with deep convolutional neural networks
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations

Their papers

• Iterative Image Restoration Combining Total Variation Minimization and a Second-Order Functional (2005) — 317 citations
• Electrical impedance tomography using level set representation and total variational regularization (2005) — 265 citations
• Level set and total variation regularization for elliptic inverse problems with discontinuous coefficients (2004) — 229 citations
• A binary level set model and some applications to Mumford-Shah image segmentation (2006) — 399 citations
• Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models (2010) — 601 citations
• A piecewise constant level set method for elliptic inverse problems (2007) — 49 citations
• Multiple level set methods with applications for identifying piecewise constant functions (2004) — 116 citations
• Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time (2003) — 935 citations