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Date |
Area |
CAM Reports Title |
Link to pdf |
07/08 |
Medical Imaging |
(08-51) Tin Man Lee, Mathematical Models and Techniques for Medical Imaging, (Ph.D. thesis) |
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07/08 |
Segmentation |
(08-47) Kangyu Ni, Xavier Bresson, Tony Chan and Selim Esedoglu, Local Histogram Based Segmentation Using the Wasserstein Distance |
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07/08 |
Geometry, Human Brain Mapping |
(08-45) Lok Ming Lui, Computational Conformal Geometry and Its Applications to Human Brain Mapping (Ph.D. thesis) |
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07/08 |
Denoising |
(08-44) Mingqiang Zhu, Fast Numerical Algorithms for Total Variation Based Image Restoration (Ph.D. thesis) |
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07/08 |
Denoising |
(08-42) Jerome Darbon, A Simple Efficient Combinatorial Algorithm for Discrete Total Variation Minimization: ROF and the s,t-minimum-cut problem |
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06/08 |
Segmentation, inpainting |
(08-39) Kang-Yu Ni, Variational PDE-Based Image Segmentation and Inpainting with Applications in Computer Graphics, (Ph.D. thesis) |
|
05/08 |
Nonlocal deblurring |
(08-35) Yifei Lou, Xiaoqun Zhang, Stanley Osher and Andrea Bertozzi, Image Recovery via Nonlocal Operators |
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05/08 |
Denoising |
(08-34) Mingqiang Zhu and Tony Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Variation Image Restoration |
|
05/08 |
Denoising |
(08-33) Mingqiang Zhu, Stephen J. Wright and Tony F. Chan, Duality-Based Algorithms for Total Variation Image Restoration |
|
05/08 |
Image registration |
(08-30) Igor Yanovsky, Unbiased Nonlinear Image Registration, (Ph.D. Thesis) |
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04/08 |
Image registration |
(08-27) Igor Yanovsky, Carole Le Guyader, Alex Leow, Paul Thompson and Luminita Vese, Unbiased Volumetric Registration via Nonlinear Elastic Regularization |
|
03/08 |
Brain medical imaging |
(08-14) Lok Ming Lui, Sheshadri Thiruvenkadam, Yalin Wang, Paul Thompson and Tony Chan, Optimized Conformal Parameterizations of Cortical Surfaces Using Shape Based Landmark Matching |
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01/08 |
Segmentation |
(08-03) Yalin Wang, Ilhwan Jo, Stephen Wong, Shing-Tung Yau and Tony F. Chan, Segmentation and Tracking of 3D Neuron Microscopy Images Using a PDE Based Method and Connected Component Labeling Algorithm |
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01/08 |
Segmentation |
(08-02) Berta Sandberg, Sung Ha Kang, and Tony F. Chan, Unsupervised Feature Balancing Multi-phase Segmentation |
|
01/08 |
Nonlocal denoising |
(08-01) Jerome Darbon, Alexandre Cunha, Tony F. Chan, Stanley Osher and Grant J. Jensen, Fast Nonlocal Filtering Applied to Electron Cryomicroscopy |
|
12/07 |
Matting |
(07-54) Sheshadri R. Thiruvenkadam, Tony F. Chan and Byung-Woo Hong, Variational Approach to Natural Image Matting |
|
11/07 |
Image registration |
(07-49) Igor Yanovsky, Paul Thompson, Stanley Osher and Alex Leow, Asymmetric and Symmetric Unbiased Image Registration: Statistical Assessment of Performance |
|
10/07 |
Optimization |
(07-45) Jerome Darbon, Global Optimization for First Order Markov Random Fields with Submodular Priors |
|
09/07 |
Denoising |
(07-38) Loic Denis, Florence Tupin, Jerome Darbon and Marc Sigelle, SAR Image Regularization with Fast Approximate Discrete Minimization |
|
09/07 |
Compessed Sensing |
(07-37) Wotao Yin, Stanley Osher, Jerome Darbon and Donald Goldfarb, Bregman Iterative Algorithms for Compessed Sensing and Related Problems |
|
09/07 |
Matting |
(07-33) Kangyu Ni, Sheshadri Thiruvenkadam and Tony Chan, Matting Through Variational Inpainting |
|
07/07 |
Geometry Denoising |
(07-31) Matthew Elsey and Selim Esedoglu, Analogue of the Total Variation Denoising Model in the Context of Geometry Processing |
|
07/07 |
Segmentation, occlusion |
(07-30) Sheshadri R. Thiruvenkadam, Tony F. Chan and Byung-Woo Hong, Segmentation Under Occlusions Using Selective Shape Prior |
|
07/07 |
Denoising |
(07-25) X. Bresson and T.F. Chan, Fast Minimization of the Vectorial Total Variation Norm and Applications to Color Image Processing |
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07/07 |
Level set |
(07-19) Selim Esedoglu and Peter Smereka, A Variational Formulation for a Level Set Representation of Multiphase Flow and Area Preserving Curvature Flow |
|
04/07 |
Denoising |
(07-09) Jianhong (Jackie) Shen and Sung Ha Kang, Quantum TV and Applications in Image Processing |
|
04/07 |
Occlusion tracking |
(07-08) James H. von Brecht, Sheshadri R. Thiruvenkadam and Tony Chan, Occlusion Tracking with Logic Models |
|
03/07 |
Segmentation, registration |
(07-05) Igor Yanovsky, Paul Thompson, Stanley Osher, Luminita Vese, and Alex Leow, Multiphase Segmentation of Deformation using Logarithmic Priors |
|
02/07 |
Denoising, deblurring |
(07-03) D. Krishnan, P. Lin and Andy M. Yip, A Primal-Dual and Active-Set Method for Non-Negativity Constrained Total Variation Deblurring Problems |
|
12/06 |
Image registration |
(06-71) Igor Yanovsky, Paul Thompson, Stanley Osher and Alex Leow, Large Deformation Unbiased Diffeomorphic Nonlinear Image Registration: Theory and Implementation |
|
11/06 |
Image registration |
(06-64) Igor Yanovsky and Alex Leow, An Information Theory Approach to Nonlinear Image Registration |
|
11/06 |
Segmentation |
(06-60) Jerome Darbon, A Note on the Discrete Binary Mumford-Shah Model |
|
10/06 |
Segmentation |
(06-58) Tony Chan, Selim Esedoglu and Kangyu Ni, Histogram Based Segmentation Using Wasserstein Distances |
|
10/06 |
Denoising |
(06-57) Guy Gilboa, Jerome Darbon, Stanley Osher and Tony Chan, Nonlocal Convex Functionals for Image Regularization |
|
09/06 |
Segmentation |
(06-52) Tony Chan, Berta Sandberg and Mark Moelich, Some Recent Developments in Variational Image Segmentation |
|
09/06 |
Nonlinear PDE |
(06-49) Selim Esedoglu and John Greer, Upper Bounds on the Coarsening Rate of Discrete, Ill-Posed Nonlinear Diffusion Equations |
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06/06 |
Segmentation |
(06-31) Yoon Mo Jung, Sung Ha Kang, and Jianhong Shen, Multiphase Image Segmentation via Modica-Mortola Phase Transition |
|
05/06 |
Denoising |
(06-28) Tony F. Chan and Ke Chen, An Optimization-based Multilevel Algorithm for Total Variation Image Denoising |
|
05/06 |
Inpainting |
(06-25) A. L. Bertozzi, S. Esedoglu, and A. Gillette, Analysis of a Two-Scale Cahn-Hilliard Model for Image Inpainting |
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05/06 |
Geometric Motions |
(06-23) Selim Esedoglu, Steven J. Ruuth and Richard Tsai, Threshold Dynamics for High Order Geometric Motions |
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03/06 |
Human Vision System |
(06-09) Jianhong (Jackie) Shen, Least-Square Halftoning via Human Vision System and Markov Gradient Descent (LS-MGD): Algorithm and Analysis |
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02/06 |
Image reconstruction |
(06-08) Tony F. Chan, Michael K. Ng, Andy C. Yau and Andy M. Yip, Superresolution Image Reconstruction Using Fast Inpainting Algorithms |
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12/05 |
Denoising |
(05-68) Tony F. Chan and Ke Chen, On a Nonlinear Multigrid Algorithm with Primal Relaxation for the Image Total Variation Minimisation |
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09/05 |
Segmentation |
(05-54) Jianhong (Jackie) Shen, A Stochastic-Variational Model for Soft Mumford-Shah Segmentation |
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07/05 |
Segmentation |
(05-43) Jianhong (Jackie) Shen, Piecewise $H^-1 + H^0 + H^1$ Images and the Mumford-Shah-Sobolev Model for Segmented Image Decomposition |
|
04/05 |
Denoising, texture separation |
(05-28) Tony F. Chan, Selim Esedoglu, and Frederick E. Park, A Fourth Order Dual Method for Staircase Reduction in Texture Extraction and Image Restoration Problems |
|
04/05 |
Circuit Placement |
(05-23) T. Chan, J. Cong, and K. Sze, Multilevel Generalized Force-directed Method for Circuit Placement, Proceedings of the International Symposium on Physical Design, San Francisco, CA |
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04/05 |
Shape Reconstruction and Disocclusion |
(05-22) Selim Esedoglu, Steven Ruuth and Richard Tsai, Threshold Dynamics for Shape Reconstruction and Disocclusion |
|
03/05 |
Image Decomposition |
(05-18) Tony F. Chan, Selim Esedoglu and Frederick E. Park, Image Decomposition Combining Staircase Reduction and Texture Extraction |
|
03/05 |
Segmentation |
(05-16) Jianhong (Jackie) Shen, Gamma-Convergence Approximation to Piecewise Constant Mumford-Shah Segmentation |
|
03/05 |
Dejittering |
(05-11) Sung Ha Kang and Jianhong (Jackie) Shen, On the Slicing Moments of BV Functions and Applications to Image Dejittering |
|
02/05 |
Image decomposition, parameter selection |
(05-10) Jean-Francois Aujol, Guy Gilboa, Tony Chan, and Stanley Osher, Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection |
|
01/05 |
Image segmentation |
(05-04) X. Bresson, S. Esedoglu, P. Vandergheynst, J.P. Thiran and S. Osher, Global Minimizers of the Active Contour/Snake Model |
|
01/05 |
Scale recognition, regularization and regularization |
(05-02) David M. Strong, Jean-Francois Aujol and Tony Chan, Scale Recognition, Regularization Parameter Selection, and Meyer's G Norm in Total Variation Regularization |
|
01/05 |
Image restoration |
(05-01) T. Chan, S. Esedoglu, F. Park and A. Yip, Recent Developments in Total Variation Image Restoration |
|
12/04 |
Color image decomposition and restoration |
(04-73) Jean-Francois Aujol and Sung Ha Kang, Color Image Decomposition and Restoration |
|
12/04 |
Inpainting |
(04-72) Tony F. Chan and Sung Ha Kang, Error Analysis for Image Inpainting |
|
11/04 |
Regularization |
(04-66) Jean-Francois Aujol and Guy Gilboa, Implementation and Parameter Selection for BV-Hilbert Space Regularizations |
|
11/04 |
Image classification |
(04-65) Jean-Francois Aujol and Tony F. Chan, Combining Geometrical and Textured Information to Perform Image Classification |
|
10/04 |
Functional analysis |
(04-63) Selim Esedoglu and Yen-Hsi Richard Tsai , Threshold Dynamics for the Piecewise Constant Mumford-Shah Functional |
|
09/04 |
Dejittering |
(04-60) Sung Ha Kang and Jianhong Shen , Video Dejittering by Bake and Shake |
|
09/04 |
Gene expression |
(04-58) Andy M. Yip, Edmond H. Wu, Michael K. Ng and Tony F. Chan, Finding Dense Regions in Gene Expression Data |
|
09/04 |
Segmentation, denoising |
(04-54) Tony F. Chan, Selim Esedoglu and Mila Nikolova, Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models |
|
08/04 |
Segmentation, level set |
(04-49) Wei Zhu, Tony Chan and Selim Esedoglu, Segmentation with Depth: A Level Set Approach |
|
07/04 |
Inpainting |
(04-47) Tony F. Chan, Jianhong Shen and Hao-Min Zhou, Total Variation Wavelet Inpainting |
|
07/04 |
Inpainting, blind deconvolution |
(04-45) Tony F. Chan, Andy M. Yip, and Frederick E. Park, Simultaneous Total Variation Image Inpainting and Blind Deconvolution |
|
06/04 |
Optimization in VLSI |
(04-43) Tony F. Chan, Jason Cong, Joseph R. Shinnerl, Kenton Sze, Min Xie and Yan Zhang, Multiscale Optimization in VLSI Physical Design Automation |
|
06/04 |
Circuit placement |
(04-42) Tony F. Chan, Jason Cong, Tim (Tianming) Kong and Joseph R. Shinnerl, Multilevel Circuit Placement |
|
06/04 |
Circuit placement |
(04-40) Tony F. Chan, Jason Cong, Tim Kong, Joseph R. Shinnerl, and Kenton Sze, An Enhanced Multilevel Algorithm for Circuit Placement, June 2004 |
|
04/04 |
Data mining |
(04-29) Edmond H. Wu, Michael K. Ng, Andy M. Yip and Tony F. Chan, A Clustering Model for Mining Evolving Web User Patterns in Data Stream Environment |
|
04/04 |
DNA microarray |
(04-28) Andy M. Yip, Edmond H. Wu, Michael K. Ng and Tony F. Chan, Unsupervised Dense Regions Discovery in DNA Microarray Data, April 2004 |
|
04/04 |
Data mining |
(04-27) Edmond H. Wu, Michael K. Ng, Andy M. Yip and Tony F. Chan, Discretization of Multidimensional Web Data for Informative Dense Regions Discovery |
|
04/04 |
Vision modeling |
(04-22) Jianhong Shen, On the Foundations of Vision Modeling V. Noncommutative Monoids of Occlusive Preimages |
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03/04 |
Brain mapping |
(04-18) Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. Thompson and Shing-Tung Yau, Volumetric Harmonic Brain Mapping |
|
03/04 |
Brain mapping |
(04-17) Xianfeng Gu, Yalin Wang, Tony F. Chan, Paul M. Thompson and Shing-Tung Yau, Genus Zero Surface Conformal Mapping and Its Application to Brain Surface Mapping |
|
03/04 |
Denoising |
(04-15) Tony F. Chan and Frederick Park, Data Dependent Multiscale Total Variation Based Image Decomposition and Contrast Preserving Denoising |
|
02/04 |
Function approximation |
(04-07) Tony F. Chan and Selim Esedoglu, Aspects of Total Variation Regularized $L^1$ Function Approximation |
|
12/03 |
Segmentation |
(03-77) Tony F. Chan and Selim Esedoglu, A Multiscale Algorithm for Mumford-Shah Image Segmentation |
|
12/03 |
Data mining |
(03-76) Andy M. Yip, Edmond H. Wu, Michael K. Ng and Tony F. Chan, An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams |
|
12/03 |
Vision modeling |
(03-74) Jianhong Shen and Yoon-Mo Jung , On the Foundations of Vision Modeling Iv. Weberized Mumford-Shah Model with Bose-Einstein Noise: Light Adapted Segmentation Inspired by Vision Psychology, Retinal Physiology, and Quantum Statistics |
|
11/03 |
Blind deconvolution |
(03-70) Selim Esedoglu, Blind Deconvolution of Bar Code Signals |
|
11/03 |
Multiple level set |
(03-68) Xue-Cheng Tai and Tony F. Chan, Multiple Level Set Methods and Some Applications for Identifying Piecewise Constant Functions |
|
11/03 |
Segmentation |
(03-66) Tony Chan and Wei Zhu, Level Set Based Shape Prior Segmentation |
|
11/03 |
Contours |
(03-65) Wei Zhu and Tony Chan, Capture Illusory Contours: A Level Set Based Approach |
|
11/03 |
Tomography |
(03-64) Eric T. Chung, Tony F. Chan and Xue-Cheng Tai, Electrical Impedance Tomography Using Level Set Representation and Total Variational Regularization |
|
10/03 |
Denoising |
(03-59) Andy M. Yip and Frederick Park, Solution Dynamics, Causality, and Critical Behavior of the Regularization Parameter in Total Variation Denoising Problems |
|
09/03 |
Clustering |
(03-48) Andy M. Yip, Chris Ding and Tony F. Chan, Dynamic Cluster Formation Using Level Set Methods |
|
08/03 |
Inpainting |
(03-40) Laurent Demanet, Bing Song and Tony Chan, Image Inpainting by Correspondence Maps: a Deterministic Approach |
|
08/03 |
Clustering |
(03-37) Andy M. Yip, Tony F. Chan and Tarek P. Mathew, A Scale Dependent Model for Clustering by Optimization of Homogeneity and Separation |
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