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D-Index & Metrics

Computer Science

D-Index
37
Citations
29046
World Ranking
10424
National Ranking
4349

Overview

Luminita A. Vese is affiliated with the University of California, Los Angeles in the United States. Their research spans primarily across computer science and engineering, with a focus on image processing, computational mechanics, and mathematical modeling.

The main fields of study for this scientist include:

  • Computer Science
  • Engineering

The subfields covered by their work are:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Computational Theory and Mathematics
  • Media Technology
  • Mechanics of Materials

Luminita A. Vese's research topics emphasize a variety of techniques in image analysis and mathematical applications, including:

  • Image and Signal Denoising Methods
  • Medical Image Segmentation Techniques
  • Advanced Image Processing Techniques
  • Sparse and Compressive Sensing Techniques
  • Advanced Mathematical Modeling in Engineering
  • Composite Material Mechanics
  • Mathematical Biology Tumor Growth

Frequent publication venues in which this scientist's work appears are:

  • Journal of Mathematical Imaging and Vision
  • SIAM Journal on Imaging Sciences
  • arXiv (Cornell University)
  • Multiscale Modeling and Simulation

Recent papers authored or co-authored by Luminita A. Vese include:

  • Nonlocal Adaptive Biharmonic Regularizer for Image Restoration, 2022, Journal of Mathematical Imaging and Vision
  • A Multiscale Deformation Representation, 2023, SIAM Journal on Imaging Sciences
  • Multiscale Hierarchical Image Decomposition and Refinements: Qualitative and Quantitative Results, 2021, SIAM Journal on Imaging Sciences
  • Multiscale Hierarchical Decomposition Methods for Images Corrupted by Multiplicative Noise, 2025, Journal of Mathematical Imaging and Vision
  • A Nonlocal Laplacian-Based Model for Bituminous Surfacing Crack Recovery and its MPI Implementation, 2020, Journal of Mathematical Imaging and Vision

This scientist collaborates with several researchers, with frequent co-authors being:

  • Elena Resmerita
  • Noémie Debroux
  • Carole Le Guyader
  • Wen Li
  • Ying Wen

Best Publications

  • Active contours without edges

    T.F. Chan;L.A. Vese

  • A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model

    Luminita A. Vese;Tony F. Chan

  • Simultaneous structure and texture image inpainting

    M. Bertalmio;L. Vese;G. Sapiro;S. Osher

  • Active Contours without Edges for Vector-Valued Images

    Tony F. Chan;B.Yezrielev Sandberg;Luminita A. Vese

  • Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing

    Luminita A. Vese;Stanley J. Osher

  • Image Decomposition and Restoration Using Total Variation Minimization and the H1

    Stanley J. Osher;Andres Fco. Solé;Luminita A. Vese

  • An Active Contour Model without Edges

    Tony Chan;Luminita Vese

  • A Variational Method in Image Recovery

    Gilles Aubert;Luminita Vese

  • A level set algorithm for minimizing the Mumford-Shah functional in image processing

    T.F. Chan;L.A. Vese

  • Variational PDE models in image processing

    Tony F. Chan;Jianhong Shen;Luminita Vese

  • A MULTISCALE IMAGE REPRESENTATION USING HIERARCHICAL (BV, L 2 ) DECOMPOSITIONS ∗

    Eitan Tadmor;Suzanne Nezzar;Luminita A. Vese

  • Fast Cartoon + Texture Image Filters

    Antoni Buades;Triet M Le;Jean-Michel Morel;Luminita A Vese

  • A Study in the BV Space of a Denoising—Deblurring Variational Problem

    L. Vese

  • Image Denoising and Decomposition with Total Variation Minimization and Oscillatory Functions

    Luminita A. Vese;Stanley J. Osher

  • Image segmentation using a multilayer level-set approach

    Ginmo Chung;Luminita A. Vese

  • Image Restoration and Decomposition via Bounded Total Variation and Negative Hilbert-Sobolev Spaces

    Linh H. Lieu;Luminita A. Vese

  • Numerical Methods for p -Harmonic Flows and Applications to Image Processing

    Luminita A. Vese;Stanley J. Osher

  • Iteratively solving linear inverse problems under general convex constraints

    Ingrid Daubechies;Gerd Teschke;Luminita Vese

  • Nonlocal Mumford-Shah Regularizers for Color Image Restoration

    Miyoun Jung;X Bresson;T F Chan;L A Vese

  • Segmentation under geometrical conditions using geodesic active contours and interpolation using level set methods

    Christian Gout;Carole Le Guyader;Luminita A. Vese

Frequent Co-Authors

Stanley Osher
Stanley Osher University of California, Los Angeles
Tony F. Chan
Tony F. Chan University of California, Los Angeles
Paul M. Thompson
Paul M. Thompson University of Southern California
Arthur W. Toga
Arthur W. Toga University of Southern California
Jason Cong
Jason Cong University of California, Los Angeles
Guillermo Sapiro
Guillermo Sapiro Princeton University
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Marcelo Bertalmío
Marcelo Bertalmío Spanish National Research Council
Stefano Soatto
Stefano Soatto University of California, Los Angeles
Martin Glavin
Martin Glavin University of Galway

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