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Accepted Minisymposia
 
 
MS1 (2 seesions) Beyond Single Shot Imaging: Academic and Industrial Points of View
Andrés Almansa, Julie Delon, Pablo Musé
  • Simultaneous HDR Image Reconstruction and Denoising for Dynamic Scenes
    Pablo Musé
  • Color Transfer Between Close Views of the Same Scene
    Stacey Levine
  • Disparity-Guided Demosaicing for Plenoptic Images
    Neus Sabater
  • Co-Design of a Chromatic 3D Camera
    Pauline Trouvé
  • Optical Matrix Probing for Photography and Videography
    Kyros Kutulankos
  • Adaptive Sensing and Reconstruction Techniques for CS-Video Applications
    Xin Yuan
MS2 (2 sessions) Photoacoustic Tomography
Simon R Arridge, Ben T Cox
  • Universal Inversion Formulas for Recovering a Function from Spherical Means
    Markus Haltmeier
  • Modelling Quantitative Photoacoustic Sectional Imaging
    Peter Elbau
  • Efficient Reconstruction Algorithms for Inverse Problems in Quantitative Photoacoustic Imaging
    Kui Ren
  • Bayesian Image Reconstruction in Quantitative Photoacoustic Tomography
    Tanja Tarvainen
  • Algebraic Image Reconstruction in Combined Space for Photoacoustic Tomography
    Amir Rosenthal
  • Photoacoustic Tomography Image Reconstruction in Heterogeneous Media
    Mark Anastasio
  • Compressed Sensing for High Resolution 3D Photoacoustic Tomography Using Data Sparsity
    Marta Betcke
MS3 (1 session) Image Reconstruction Using Cross-Modality Priors
Simon R Arridge, Ville Kolehmainen
  • Structural Priors for Multimodality Optical Tomography
    Ville Kolehmainen
  • Parallel Level Set Prior for Joint PET/MRI Reconstruction
    Matthias Ehrhardt
  • Structural Priors for Emission Tomography Reconstruction: Benefits and Risks
    Kathleen Vunckx
  • Hidden States of Function and Anatomy
    Stefano Pedemonte
MS4 (1 session) Nonlinear Inverse Problems in Imaging
Martin Benning, Michael Möller
  • Nonlinear Magnetic Resonance Velocity Imaging
    Martin Benning
  • Structural Health Monitoring in Anisotropic, Elastic Plates from Partial Boundary Measurements
    Julia Piontkowski
  • Partially Blind Deblurring of Barcode from Out-of-Focus Blur
    Yifei Lou
  • Depth from Defocus
    Michael Möller
MS5 (2 sessions) Keep the Edge? From Theory to Practice
Marta Betcke, Carola-Bibiane Schönlieb
  • Ground States and Singular Values for TV and L1-Type Models
    Martin Burger
  • Fast Solvers for Non-Convex Edge-Preserving/Sparsifying TVq-Regularizations, q in (0,1), and Issues with Variable Splitting Approaches in TV(=TV1)- Regularization
    Michael Hintermüller
  • Optimization Methods for Total Generalized Variation Regularization
    Kristian Bredies
  • Aspects of the Total Generalised Variation (TGV) Minimisation Problem
    Konstantinos Papafitsoros
  • Exact Support Recovery for Sparse Spikes Deconvolution
    Gabriel Peyré
  • Edge-Preserving Electrical Impedance Tomography
    Samuli Siltanen
  • K-edge Imaging - X-ray CT Goes Functional
    Alex Sawatzky
  • Image Reconstruction in Fluorescence Diffuse Optical Tomography Using Patch-Based Anisotropic Diffusion Regularisation
    Teresa Correira
MS6 (1 session) Variational Approaches for Image Sequence Analysis and Reconstruction
Kristian Bredies, Martin Holler
  • Infimal-Convolution of Total-Variation-Type Functionals as Regularization for Video Reconstruction
    Martin Holler
  • Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation
    Hui Ji
  • Non-Local Total Generalized Variation for Motion and Stereo Estimation
    René Ranftl
  • Variational Approaches for Image Sequence Analysis and Reconstruction
    Stephen Keeling
MS7 (2 sessions) Modern Approaches for Dynamic Imaging
Christoph Brune, Andrea Bertozzi
  • Sparsity in Fluids - Vorticity Estimation via Compressive Sensing
    Andrea Bertozzi
  • Improved Accuracy and Speed in Scanning Probe Microscopy by Image Reconstruction from Non-gridded Position Sensor Data
    Travis Meyer
  • Image Interpolation with Optimal Transport
    Nicolas Papadakis
  • Spatio-temporal Optical Flow on Evolving Surfaces
    Clemens Kirisits
  • TGV-Based Flow Estimation for 4D Cell Migration
    Lena Frerking
  • Nonlocal Crime Density Estimation Incorporating Housing Information
    Joseph Woodworth
  • A Nonlinear Variational Approach to Motion-Corrected Reconstruction of Density Images
    Sebastian Suhr
  • Joint Surface Reconstruction and 4-D Deformation Estimation from Sparse Data and Prior Knowledge for Marker-Less Respiratory Motion Tracking
    Benjamin Berkels
MS8 (2 sessions) Mathematics for Imaging: the Legacy of Vicent Caselles
Antonin Chambolle, Andrés Almansa, Mila Nikolova
  • Properties of the Solutions of the Total Variation Minimization Problem
    Antonin Chambolle
  • Metamorphosis and Discrete Geometry in the Space of Images
    Martin Rumpf
  • Geodesic Active Contours: An Axiomatic Variational Geometric Approach
    Ron Kimmel
  • Virtual Physiological Imaging: From Imaging to Models and Back
    Alejandro F. Frangi
  • Variational Methods for Virtual Soccer Game Replays
    Nicolas Papadakis
  • Multiscale Analyses of Images Defined on Riemannian Manifolds and of Similarities between Images on Riemannian Manifolds
    Felipe Calderero
  • A Variational Perspective on Perceptually-Inspired Color and Contrast Enhancement
    Edoardo Provenzi
  • A Variational Framework for Exemplar-Based Image Inpainting
    Pablo Arias
MS9 (1 session) New Trends in Histogram Processing
Mila Nikolova, Raymond H. Chan
  • A Convex Formulation for Global Histogram Based Binary Segmentation
    Jean-François Aujol
  • Sliced Wasserstein Distance for Histograms Matching
    Julien Rabin
  • Histogram Specification of Color Images Using a Variational Framework
    Youwei Wen
  • Two Stage Image Segmentation and Histogram Clustering
    Tieyong Zeng
MS10 (2 sessions) Asymptotics, Inverse Problems and Applications
Nicolas Chaulet, Houssem Haddar
  • Generalized Impedance Boundary Conditions and There Use in the Inverse Electromagnetic Obstacle Problem
    Nicolas Chaulet
  • Biosensing with Surface Plasmon Resonances
    Faouzi Triki
  • Acoustic Inverse Scattering Using Topological Derivative of Far-Field Measurements-Based L2 Cost Functionals
    Cédric Bellis
  • Non-Destructive Eddy Current Inspection of Highly Conductive Thin Layer Deposits via Asymptotic Models
    Zexian Jiang
  • The Vanishing Conductivity Limit in Eddy Current Imaging
    Bastian Harrach
MS11 (3 sessions) Modern Imaging Models, High Order Methods and Applications
Ke Chen, Xuecheng Tai
  • High-Order Geometrical Variational and PDE Methods for Noise Removal
    Bibo Lu
  • Analysis and Design of Fast Graph Based Algorithms for High Dimensional Data
    Andrea Bertozzi
  • Image Denoising Using LLT Model and Iterated Total Variation Refinement
    Fenlin Yang
  • Limiting Aspects of Non-Convex Regularisation Models
    Tuomo Valkonen
  • Image Denoising Using the Gaussian Curvature of the Image Surface
    Carlos Brito-Loeza
  • Shape from Shading Using Mean Curvature
    Wei Zhu
  • Surface Map Optimization Using Beltrami Holomorphic Flow
    Ronald Lui
  • A Forward-backward Model for Image Restoration
    Patrick Guidotti
  • A Non-Local Formulation for Higher-Order Total Variation-Based Regularization
    Jan Lellmann
  • Regularization Parameter Estimation in L2 and L1 Total Variation Color Image Deblurring
    Elena Loli Piccolomini
  • Nonlinear Analysis of Population of Textured Manifolds with F-Shape Spaces and Varifolds
    Nicolas Charon
MS12 (2 sessions) Advances in Numerical Linear Algebra for Imaging
Julianne Chung, Malena Ines Español
  • Fast Nonstationary Preconditioned Iterative Methods for Ill-Posed Problems with, Application to Image Deblurring
    Marco Donatelli
  • Semi-Convergence of Kaczmarz's Method
    Per Christian Hansen
  • Dual-Scale Masks for Spatio-Temporal Compressive Imaging
    Roummel F. Marcia
  • Reduction Methods for Matrix Pairs with Application to Image Restoration
    Lothar Reichel
  • A Variational Method for Expanding the Bit-Depth of Low Contrast Images
    Motong Qiao
  • Variational Image Restoration with Auto-Correlation Whiteness Penalties
    Fiorella Sgallari
  • Iterative Reconstructors for Adaptive Optics
    Mykhaylo Yudytskiy
  • Image Restoration with Poisson-Gaussian Mixed Noise
    Alessandro Lanza
MS13 (1 session) Recent Developments in the Statistical Modelling of Brain Imaging Data
Ivor Cribben, Linglong Kong
  • Estimating Dynamic Graphical Models for fMRI Data
    Ivor Cribben
  • Functional Magnetic Resonance Imaging Analysis in a Study of Alzheimer's Diseases
    Jimin Ding
  • Sparse Estimation in Partial Functional Linear Regression Model for Hyper-Acute Ischemic Stroke Study
    Linglong Kong
  • A Semi-Parametric Nonlinear Model for Event-Related fMRI
    Tingting Zhang
MS14 (2 sessions) Manifolds, Shapes and Topologies in Imaging
Günay Doğan, Michael Hintermüller
  • An Adaptive Shape Reconstruction Algorithm for Inverse Problems
    Günay Doğan
  • A Convex Approach to Sparse Shape Composition
    Alireza Aghasi
  • Robust Principal Component Pursuit via Alternating Minimization on Matrix Manifolds
    Tao Wu
  • Computational Metric Geometry in the Natural Space
    Ron Kimmel
  • Affine-Invariant Shape Models for Contours and Their Discoveries in Images
    Anuj Srivastava
  • A Discrete Geodesic Calculus for Shape Space Applications
    Benedikt Wirth
  • Smooth or Singular Metamorphoses for Images and Measures
    Laurent Younes
  • Shape and Topology Optimization Methods for Inverse Problems
    Antoine Laurain
MS15 (1 session) Applications of Splitting Methods to Nonconvex Problems in Imaging Science
Ernie Esser, Xiaoqun Zhang
  • Solving DC Programs that Promote Group 1-Sparsity
    Ernie Esser
  • Compressed Modes for Variational Problems in Math and Physics
    Rongjie Lai
  • Alternating Direction Methods for Classical and Ptychographic Phase Retrieval
    Zaiwen Wen
  • Total Variation Structured Total Least Squares Method for Image Restoration
    Xile Zhao
MS16 (1 session) High Precision Stereo Vision
Gabriele Facciolo, Antoni Buades
  • Observing the Earth in 3D with Pleiades-HR
    Jean-Marc Delvit
  • Fusion of Kinect Depth with Trifocal Disparity Estimation for Fast High Quality Depth Maps
    Neus Sabater
  • How Much Further Can We Go in Two-Frame Stereo?
    Kuk-Jin Yoon
  • On the Performance of Local Methods for Stereovision
    Gabriele Facciolo
MS17 (2 sessions) Detection and Analysis of Blood Vessels and Tree Shapes
Gareth Funka-Lea
  • An Overview of Mathematical Techniques for Blood Vessel Detection
    Gareth Funka-Lea
  • Tubular Structure Detection for MR Angiographic Image Analysis
    Albert C. S. Chung
  • Automated Reconstruction of Curvilinear Networks from 2D and 3D Imagery
    Engin Türetken
  • Reproducible Interactive Correction of Blood Vessels
    Leo Grady
  • Geodesic Method for Blood Vessels and Tree Structure Segmentation
    Laurent Cohen
  • Mathematical Morphology for Thin Object Detections
    Laurent Najman
  • Airway Tree-Shape Modeling Through Large-Scale Tree-Space Statistics
    Aasa Feragen
  • Discrete Optimization of Eulers Elastica with Application to Vessel Segmentation
    Noha Youssry El-Zehiry
MS18 (2 sessions) Super-Resolution: Theoretical and Numerical Aspects
Jalal Fadili, Gabriel Peyré
  • Inverse Problems in Spaces of Measures
    Kristian Bredies
  • Super-Resolution from Noisy Data
    Carlos Fernandez-Granda
  • Exact Support Recovery for Sparse Spikes Deconvolution
    Vincent Duval
  • Stable Super-Location of Nearby Singularities
    Laurent Demanet
  • Beyond Incoherence and Beyond Sparsity: Compressed Sensing in the Real World
    Ben Adcock
  • The MUSIC Algorithm for Well-Separated Objects: A Sensitivity Analysis
    Wenjing Liao
  • Sparse and Cosparse Tomographic Recovery from Few Projections
    Stefania Petra
MS19 (2 sessions) Wave-based Imaging
Knut Sølna, Josselin Garnier
  • Generalized Row-Action Methods for Tomographic Imaging
    Knut Sølna
  • Selective Imaging of Extended Reflectors in Waveguides
    Chrysoula Tsogka
  • Shape Identification and Classification in Echolocation
    Han Wang
  • Correlation-Based Imaging in Random Media in the Paraxial Regime
    Josselin Garnier
  • Interferometric Waveform Inversion
    Laurent Demanet
  • Elastic-wave Tomography and Inverse Scattering with Passive Sources
    Maarten de Hoop
  • Wave Luminescence Imaging
    Kui Ren
MS20 (1 session) Poisson Noise Removal
Raja Giryes, Rebecca Willett
  • Sparsity based Poisson Denoising with Dictionary Learning
    Raja Giryes
  • Estimation of Mixed Poisson-Gaussian Noise Parameters via Variance Stabilization
    Alessandro Foi
  • Adaptive Parameter Selection for Local and Non-Local Poisson Noise Filtering
    Charles Deledalle
  • First-Photon Imaging: Imaging by Estimation of Parametric Poisson Processes
    Vivek K Goyal
MS21 (1 session) New Frontiers in Inpainting
Yann Gousseau, Simon Masnou
  • Texture Aware Video Inpainting
    Yann Gousseau
  • Diminished Reality by Correction of Perspective and Color with Image Inpainting
    Norihiko Kawai
  • A Variational Model for Gradient-Based Video Editing
    Rida Sadek
  • The Controversial Story of Sparse Inpainting in Astronomy
    Jean-Luc Stark
MS22 (2 sessions) Varitional PDE and Multi-scale Multi-directional Sparse Representation in Imaging
Weihong Guo, Julia Dobrosotskaya
  • A New Detail-Preserving Regularity Scheme
    Weihong Guo
  • Variational Approaches for Phase Image Processing with Applications in MRI
    Kristian Bredies
  • Convex Image Segmentation with Generalized Partition Functions and Connections to Continuous Max-Flow
    Egil Bae
  • Joint Multi-Shot Multi-Channel Image Reconstruction in Compressive Diffusion Weighted MR Imaging
    Hao Zhang
  • Variational Image Reconstruction Using Composite Wavelets
    Benjamin Manning
  • α-Molecules: Wavelets, Shearlets, and Beyond
    Gitta Kutynoik
  • Compressive Support Detection Based on Multiple Hypothesis Testing
    Yi Wang
  • Empirical Wavelet Transforms
    Jérôme Gilles
MS23 (1 session) Sparse Reconstruction for Tomographic Imaging
Jakob Sauer Jørgensen, Per Christian Hansen
  • Generalized Row-Action Methods for Tomographic Imaging
    Martin Skovgaard Andersen
  • Sparse X-Ray Tomography Using a Besov Prior
    Ville Kolehmainen
  • The Trade-Off Between Number of Projections and X-Ray Intensity for Sparsity-Exploiting Image Reconstruction in Computed Tomography
    Emil Sidky
  • PET Reconstruction from Short-Time Data via GTV-Bregman
    Martin Burger
MS24 (2 sessions) Color Perception and Image Enhancement
Sung Ha Kang, Gabriele Steidl
  • Fast Hue and Range Preserving Histogram Specification: New Algorithms, Theory and Applications
    Mila Nikolova
  • White Balance in Cinema
    Marcelo Bertalmío
  • A Variational Histogram Equalization Method for Image Contrast Enhancement
    Wei Wang
  • A Wavelet-Based Framework for Perceptually-Inspired Color Enhancement
    Edoardo Provenzi
  • Color Contrast Enhancement: Some Classical and Some New Methods
    Ana Belen Petro Balaguer
  • The Color of Texture - Analysis based on the Total-Variation Transform
    Guy Gilboa
  • Color Image Contrast Enhancement: 3-D Color Histogram Equalization Method
    Sejung Yang
  • Exemplar-Based Image Colorization Using RGB
    Jean-François Aujol
MS25 (2 sessions) Mathematical Modeling and Related Inverse Problems in Medical Applications
Jong Chul Ye, Yoon Mo Jung, Kiwan Jeon
  • A New Pre-reconstruction Iterative Algorithm for Dual-Energy Computed Tomography
    Kiwan Jeon
  • A Binary Metal Image Reconstruction Based on the Lambda Tomography in CT
    Hyoung Suk Park
  • Inverse Problem on Quantitative Susceptivility Mapping (QSM)
    Jae Kyu Choi
  • Phase Retrieval for Sparse Signals
    Zhiqiang Xu
  • Vortex Flow Imaging Technique Using Echocardiography
    Chi Young Ahn
MS26 (1 session) Recent Advances in Magnetic Resonance Imaging
Gitta Kutyniok, Wang-Q Lim
  • A Shearlet Scheme for Optimal Magnetic Resonance Imaging
    Gitta Kutyniok
  • Optimal Sampling Strategies for Compressed Sensing in MRI
    Anders Hansen
  • Stable and Robust Sampling Strategies for Compressive Imaging
    Felix Krahmer
  • Video Compressive Sensing for Dynamic MRI
    Wotao Yin
MS27 (2 sessions) High Frequency Wave Propagation and Related Imaging Problems
Shingyu Leung, Songting Luo
  • Adjoint State Method for the Recovery of Both the Source and the Attenuation in the Attenuated X-Ray Transform
    Songting Luo
  • Locating Multiscale Scatterers by A Single Far-field Pattern
    Hongyu Liu
  • Fast Matrix-Free Direct Solvers for Seismic Imaging Problems
    Jianlin Xai
  • Efficient Numerical Method for Helmholtz Equation with High Wave Number and its Application in Seismic Imaging Problem
    Wenyuan Liao
  • Eulerian Methods for Schrödinger Equations in the Semi-Classical Regime
    Shingyu Leung
  • Adaptive Phase Space Method for Traveltime Tomography
    Eric Chung
  • Long-Time Stability and Convergence of the Uniaxial Perfectly Matched Layer Method for Time-Domain Acoustic Scattering Problems
    Xinming Wu
  • Joint Transmission and Reflection Traveltime Tomography for Reflector in Inhomogeneous Media Using First Arrivals
    Wenbin Li
MS28 (1 session) Image Denoising: Trends, Connections and Limitations
Marcelo Bertalmío, Stacey Levine
  • Denoising an Image by Denoising its Curvature
    Marcelo Bertalmío
  • A Spatially Consistent Collaborative Filtering
    Alessandro Foi
  • On the Internal vs. External Statistics of Image Patches, and its Implications on Image Denoising
    Maria Zontak
  • On Covariant Derivatives and Their Applications to Image Regularization
    Thomas Batard
MS29 (3 sessions) Inverse Scattering Problems in Imaging Science
Hongyu Liu, Kui Ren
  • A One-Step Reconstruction Algorithm for Quantitative Photoacoustic Imaging
    Sarah Vallelian
  • Near-Field Imaging of Acoustic Obstacles with the Factorization Method
    Bo Zhang
  • Optical Tomography in Weakly Scattering Media
    Simon Arridge
  • Reconstruction of Sources with Small Supports from a Single Cauchy Data and Application
    Abdellatif El Badia
  • Detection and Classification from Electromagnetic Induction Data
    Junqing Chen
  • One-shot Imaging Methods in Inverse Elastic Scattering
    Jingzhi Li
  • Near-Field Imaging of Rough Surfaces
    Peijun Li
  • On the Transmission Eigenvalue Problem Arising in Inverse Scattering Problem
    Jijun Liu
  • Multiscale Analysis for Ill-Posed Problem with Support Vector Approach
    Shuai Lu
  • A Model Reduction Approach to Numerical Inversion for Parabolic Partial Differential Equations in One and Higher Dimensions
    Alexander Mamonov
  • Regularized Acoustic and Electromagnetic Cloaking
    Hongyu Liu
  • Inverse Scattering Problems with Impedance Boundary Conditions
    Haibing Wang
MS30 (2 sessions) First-order Primal-dual Methods for Convex Optimization
Dirk Lorenz, Thomas Pock
  • Rates of Convergence and Restarting Strategies
    Antonin Chambolle
  • Adaptive Methods for Large Scale Optimization
    Tom Goldstein
  • A Generalization of the Chambolle-Pock Algorithm to Banach Spaces with Application to Inverse Problems
    Carolin Homann
  • The Linearized Bregman Method via Split Feasibility Problems
    Dirk Lorenz
  • A Primal-Dual Approach for Solving Optimization Problems Based on Information Measures
    Mireille El Gheche
  • An Inertial Forward-Backward Algorithm for Solving Monotone Inclusions
    Thomas Pock
  • Extending the Method of Chambolle and Pock to Non-Linear Operators
    Tuomo Valkonen
  • Convergence Analysis of Accelerated Forward-Backward Algorithm with Errors
    Silvia Villa
MS31 (3 sessions) Geometry, Imaging and Computing
Ronald Lok Ming Lui, David Xianfeng Gu
  • Fundamental Geometric Processing
    Gabriel Taubin
  • Modeling Disease in the Human Brain with Geometry and Imaging
    Monica Hurdal
  • Euler's Elastica For Image Restoration And Segmentation And Fast Algorithms
    Xue Cheng Tai
  • A New Iterative Algorithm for Mean Curvature-Based Variational Image Denoising
    Li Sun
  • New Developments in Levelset Based Image Segmentation and Art Pattern Synthesis
    Yizhou Yu
  • A Discrete Uniformization Theorem for Polyhedral Surfaces
    Jian Sun
  • Computing of Laplace-Beltrami Spectrum Via Conformal Deformation and Applications
    Rongjie Lai
  • Ricci Flow for Shape Analysis and Surface Registration
    Wei Zeng
  • Quasiconformal Surface Map Optimization for Uniformization with Arbitrary Topologies
    Tsz Wai Wong
  • Saddle Vertex Graph (SVG): A Novel Solution to the Discrete Geodesic Problem
    Ying He
MS32 (2 sessions) Variational Analysis in Image and Signal Processing: Theory and Algorithms
D. Russell Luke, Shoham Sabach
  • The Proximal Heterogeneous Block Implicit-Explicit Method: Application to Ptychogrpahy
    Russell Luke
  • A Sparse Kaczmarz Solver Based on the Linearized Bregman Method
    Dirk Lorenz
  • Stable Recovery with Gauge Regularization
    Jalal Fadili
  • Composite Self-Concordant Minimization
    Quoc Tran Dinh
  • Solution of the Regularized Structured Total Least Squares Problem by an Alternating Proximal-Based Method with an Application to Blind Image Deblurring
    Shoham Sabach
  • Proximal Alternating Linearized Minimization for Semi-algebraic Problems
    Jérôme Bolte
  • Possible Equivalence Between the Optimal Solutions of Least Squares Regularized by L0 Norm and Penalized by L0 Norm
    Mila Nikolova
  • Local and Global Convergence Results for Affine Sparse Feasibility
    Patrick Neumann
MS33 (1 session) Models and Methods for Imaging through Turbulence
Enric Meinhardt-Llopis
  • Atomic Models of Video Turbulence
    Enric Meinhardt-Llopis
  • Independent Components in Dynamic Refraction
    Marina Alterman
  • Video Restoration of Turbulence Distortion
    Yifei Lou
  • A Geometric Method for Image Recovery Through Optical Turbulence
    Mario Micheli
MS34 (1 session) Imaging Through Strong Turbulence
James G. Nagy, Stuart M. Jefferies
  • A Phase Model for Point Spread Function Estimation in Ground-Based Astronomy
    Wenxing Zhang
  • Uniqueness Results for Reconstruction of Imagery Degraded by Atmospheric Turbulence
    Brandoch Calef
MS35 (2 sessions) Theoretical and Computational Aspects of Geometric Shape Analysis
Sergey Kusharev, Mario Micheli, Akil Narayan
  • PCA on Manifolds Accounting for Curvature
    Sergey Kushnarev
  • Surface Shape Matching and Analysis Using Intrinsic Coordinate Parameterizations
    Shantanu H. Joshi
  • Diffeomorphic Models and Centroid Algorithms for Computational Anatomy
    Joan Alexis Glaunès
  • Shape Analysis of Multiply-connected Objects Using Conformal Welding
    Lok Ming Lui
  • Matrix-Valued Kernels for Shape Deformation Analysis
    Mario Micheli
  • Shape Analysis of Cardiac Images
    Laurent Younes
  • Numerical Computation of Geodesics on the Universal Teichmueller Space
    Akil Narayan
MS36 (1 session) Geometry Processing with Functional Maps
Maks Ovsjanikov, Frédéric Chazal
  • Functional Maps: A Flexible Representation of Maps Between Shapes
    Maks Ovsjanikov
  • Building and Using Functional Image Networks
    Leonidas Guibas
  • Joint Diagonalization and Closest Commuting Laplacians
    Michael Bronstein
  • An Operator Approach to Tangent Vector Field Processing
    Mirela Ben-Chen
MS37 (2 sessions) Recent Trends in Single Image Super-Resolution
Tomer Peleg, Yaniv Romano, Michael Elad
  • Single Image Interpolation via Adaptive Non-local Sparsity-based Modeling
    Yaniv Romano
  • Sparse Image Super-resolution with Nonlocal Autoregressive Modeling
    Weisheng Dong
  • Image Super-resolution in the Sobolev Space
    Lei Zhang
  • Nonparametric Blind Super-Resolution
    Tomer Michaeli
  • A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution
    Tomer Peleg
  • Beta Process Joint Dictionary Learning for Coupled Feature Spaces and its Application to Single Image Super-Resolution
    Hairong Qi
  • The Analysis Model and Super-Resolution
    Alex Bronstein
MS38 (2 sessions) Numerical Methods for Large-Scale Imaging Problems
Lars Ruthotto
  • A Multigrid Solver for Hyperelastic Image Registration
    Lars Ruthotto
  • Large-Scale Image Reconstruction with TV Priors
    Martin Burger
  • Large-Scale Image Reconstruction for Quantitative Susceptibility Mapping Applications
    Julianne Chung
  • Designing Optimal Regularized Inverse Matrices for Inverse Problems
    Matthias Chung
  • Preconditioned Splitting for Large-Scale Biomedical Imaging
    Christoph Brune
  • Brain Atlas Creation Using Image Registration and Restoration
    Kanglin Chen
  • Nonlinear Image Registration with Sliding Motion Constraints
    Alexander Derksen
MS39 (3 sessions) Challenges in Inverse Problems for Imaging
Mila Nikolova, Carola-Bibiane Schönlieb
  • Correlation Mining for Imaging Problems
    Alfred Hero
  • Non-Lipschitz Lp-Regularization and Box Constrained Model for Image Restoration
    Xiaojun Chen
  • Discrete Regularisation Approaches Related to Inverse Diffusion
    Martin Welk
  • Blind Denoising
    Marc Lebrun
  • Blind Deblurring with Sharpness Metrics Based on Phase Coherence
    Lionel Moisan
  • Toward Fast Transform Learning
    Francois Malgouyres
  • Perturb-and-MAP Random Fields: Reducing Random Sampling to Optimization with Applications in Computer Vision
    George Papandreou
  • Model Selection with Piecewise Regular Gauges
    Gabriel Peyré
  • Constrained Image Restoration and Estimation of Regularization Parameters
    Gabriele Steidl
  • Meta-Learning for Parameter Choice in Image Denoising
    Valeriya Naumova
  • Fast and Sparse Noise Learning via Nonlinear PDE Constrained Optimization
    Luca Calatroni
  • Bilevel Optimization for Learning Variational Models
    Thomas Pock
MS40 (2 session) A Fixed-Point Approach for Optimization Problems in Imaging
Lixin Shen, Yuesheng Xu
  • Robust 1-Bit Compressive Sensing with One-Sided ℓ0 Function
    Lixin Shen
  • Preconditioned Alternating Projection Algorithms for Maximum a Posteriori ECT Reconstruction
    Si Li
  • Image Inpainting Using ℓ0 Sparse Regularization in DCT-Induced Wavelet Domain
    Xueying Zeng
  • A Preconditioned Primal-Dual Fixed Point Algorithm for Convex Separable Minimization with Applications to Image Restoration
    Jianguo Huang
  • Limited-Angle CT Reconstruction
    Yao Lu
  • Proximity Algorithms for Multiplicative Noise Removal
    Jian Lu
  • Fixed-Point Proximity Algorithms for Optimization Problems in Image Restoration
    Qia Li
MS41 (2 sessions) Advances in Electrical Impedance Tomography
Samuli Siltanen, Simon Arridge
  • The Factorization Method for Three Dimensional EIT
    Nicolas Chaulet
  • Multifrequency EIT Using Spectral Information
    Emma Malone
  • Non-Destructive Testing of Concrete with EIT
    Aku Seppänen
  • Combining Frequency-Difference and Ultrasound-Modulated EIT
    Bastian Harrach
  • Anatomical and Physiological Priors for Absolute EIT Thorax Images
    Erick León.
  • A Novel Data-Driven Edge Sharpening D-bar Reconstruction Algorithm for Electrical Impedance Tomography
    Sarah Hamilton
  • Stochastic Galerkin Finite Element Method for Electrical Impedance Tomography
    Nuutti Hyvönen
MS42 (1 session) Statistical Techniques on Riemannian Manifolds for Analysis of Imaging Data
Anuj Srivastava
  • A Riemanian Framework for Parametric and Nonparametric Spherical Regression
    Anuj Srivastava
  • High-Dimensional Manifold-Valued Data Analysis
    Ian Dryden
  • SS-SPMs: Spatial Smoothing Statistical Parametric Maps for Ultra-High Dimensional Imaging
    Hongtu Zhu
  • Statistical Peak Detection in Images
    Armin Schwartzman
MS43 (1 session) Tensor- and Manifold-Valued Data
Jan Lellmann, Tuomo Valkonen
  • First- and Higher-Order Regularisation of Tensor Fields
    Tuomo Valkonen
  • Total Variation Regularization for Functions with Values in a Manifold
    Daniel Cremers
  • Moment Tensors and High Angular Resolution Diffusion Imaging
    Lek-Heng Lim
MS44 (1 session) Reconstruction in Industrial X-ray Radiography
Mila Nikolova, Suhua Wei
  • Sparsity in Fluids - Vorticity Estimation via Compressive Sensing
    Romain Abraham
  • State Space Constrained Reconstruction for PET Imaging
    Huafeng Liu
  • Tailoring Advanced Image-Reconstruction Algorithms to Real World Applications
    Xiaochuan Pan
  • High-Order Total Variation Regularization Approach for Axially Symmetric Object Tomography from a Single Radiograph
    Suhua Wei
MS45 (2 sessions) Multi-Frame Motion Estimation and Optical Flow Algorithms
Thomas Widlak
  • Dense Multi-Frame Optic Flow Using Subspace Constraints: Algorithms and Applications
    Anastasios Roussos
  • Optical Flow Decomposition with Time Regularization
    Aniello Raffaele Patrone
  • Novel Algorithms for Estimating Large-Scale Optical Flow
    Daniel Cremers
  • Modeling Temporal Coherence for Variational Optical Flow
    Andrés Bruhn
  • Real-Time Optical Flow Estimation Using High-Frame-Rate Videos
    Idaku Ishii
  • Recursive Joint Estimation of Dense Scene Structure and Camera Motion
    Florian Becker
  • Semicontinuity and Relaxation of a Variational Functional for Optical Flow
    Janusz Ginster
  • Non-Linear Spatio-Temporal Coherence Models for Optical Flow Estimation
    Agustín Salgado
MS46 (1 session) Advances in Phase Retrieval for Diffractive Imaging
Stefan M. Wild, Sven Leyffer Stefan, Chao Yang
  • Benchmarking Optimization Algorithms for Phase Retrieval
    Stefan M. Wild
  • Phase Retrieval in High Dimensional Data Space
    Stefano Marchesini
  • Toward Global Optimization for Phase Retrieval
    Sven Leyffer
  • Fourier Phasing with Phase-Uncertain Mask
    Wenjing Liao
MS47 (2 sessions) Recent Advances in Optimization Techniques and Applications in Imaging Sciences
Yunmei Chen, Xiaojing Ye
  • A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding
    Raymond Chan
  • Accelerated Primal Dual and ADMM Methods with Applications in Imaging
    Yunmei Chen
  • Sparse Subspace Clustering for Incomplete Face Images
    Shiqian Ma
  • Tomographic Reconstruction of Atmospheric Turbulence from Microlens Imagery
    James Nagy
  • Learning Sparsely Used Dictionaries via Convex Optimization
    John Wright
  • New Sparse Regularization Evolving l1 Subgradient
    Wotao Yin
  • A New Convex Optimization Model for Multiplicative Noise and Blur Removal
    Xile Zhao
  • Efficient Numerical Methods for Inverse Source Problems with Applications in Fluorescence Tomography
    Haomin Zhou
MS48 (2 sessions) Computational Inversion Methods for Biomedical Imaging
Samuli Siltanen, Xiaoqun Zhang
  • Level Set Method for Dynamic Sparse-Data X-Ray Tomography
    Samuli Siltanen
  • Spatio-Temporal TV Priors for Dynamic Inverse Problems in Biomedicine
    Christoph Brune
  • Dynamic SPECT Reconstruction From Few Projections by Spatialtemporal Sparsity Constrained Matrix Factorization
    Xiaoqun Zhang
  • A Novel Method for Real-Time Volumetric Imaging via Sparsity Learning
    Xun Jia
  • Empirical Phase Transitions in Sparsity-regularized Computed Tomography
    Jakob Sauer Jørgensen
  • 4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-Local Regularization
    Yifei Lou
  • Flow Driven Inpainting and Denoising
    Hendrik Dirks
MS49 (2 sessions) Methods, Computations, and Applications of Contemporary Dynamical Medical Imaging
Xun Jia, Xiaojing Ye
  • Dynamical CT Image Processing in Radiation Oncology
    Xun Jia
  • Patch-Based Low-Rank and Sparse Penalty for Dynamic Imaging
    Jong Chul Ye
  • Dynamic Shape Estimation under Inconsistent Contrast and Low SNR Conditions
    Dan Ruan
  • Exploring Compressed Sensing Optimization for Total-Variation Based Four-Dimensional Cone-Beam CT
    Hua Zhang
  • A Hybrid 4D Cone Beam CT Reconstruction Algorithm for Highly Under-Sampled Projections from the 1-minute Cone Beam Scan
    Xin Zhen
  • Motion-Compensated Cone-Beam CT for Image-Guided Radiotherapy
    Simon Rit
  • 3D/4D Imaging Verification Using Digital Tomosynthesis (DTS)
    You Zhang and Lei Ren
MS50 (2 sessions) Parallel and Distributed Computation in Imaging
Ming Yan, Wotao Yin
  • Parallel and Distributed Sparse Optimization
    Ming Yan
  • Hydra: Distributed Coordinate Descent for Big Data Problems
    Peter Richtárik
  • Communication-Efficient Algorithms for Distributed Optimization
    Jõao Mota
  • The Decentralized Gradient Descent Method for Multi-Agent Optimization
    Qing Ling
  • Consistency of Early Stopping Regularization in Linearized Bregman Algorithms
    Yuan Yao
MS51 (1 session) Recently Developed Algorithms for Inverse Problems in Image Analysis
William W. Hager, Maryam Yashtini
  • Adaptive Bregman Operator Splitting Method with Variable Stepsize for Parallel MR Imaging
    Maryam Yashtini
  • Local Rigidity Constrained Diffeomorphic Deformations for Image Analysis
    Yan Cao
  • An Iterative Generalized l1 Greedy Algorithm for CT Image Reconstruction
    Jiehua Zhu
MS52 (2 sessions) Non-Convex Models in Image Recovery and Segmentation
Yiqiu Dong, Tieyong Zeng
  • Four Color Theorem and Convex Relaxation for Image Segmentation with Any Number of Regions
    Xue-Cheng Tai
  • Multiclass Segmentation by Iterated ROF Thresholding
    Xiaohao Cai
  • Non-Convex Multiple-Objective Image Modeling
    Alfred Hero
  • Total Variation and Tight Frame Image Segmentation with Intensity Inhomogeneity
    Tieyong Zeng
  • Non-Heuristic Graph Reduction for Graph Cut
    François Malgouyres
  • iPIANO: Interial Proximal Algorithm for Non-Convex Optimization
    Thomas Pock
MS53 (2 sessions) Splitting Methods for Imaging Problems
Raymond H. Chan, Xiaoming Yuan
  • Splitting Strategies for Convex Problems with Complicated Block Structure
    Ernie Esser
  • Revisiting the Quadratic Programming Formulation of Sparse Recovery
    Mário Figueiredo
  • On the Minimization of Quotient Functionals
    Gabriele Steidl
  • Primal-Dual Methods Revisited: New Schemes and Applications
    Marc Teboulle
  • Fixed-Point Algorithms for Emission Computed Tomography Reconstruction
    Yusheng Xu
  • Decentralized Optimization and its Splitting Methods
    Wotao Yin
  • Accelerating Model-Based X-Ray CT Image Reconstruction Using Variable Splitting Methods with Ordered Subsets
    Hung Nien
  • A Reweighted ℓ2 Method for Image Restoration with Poisson and Mixed Poisson-Gaussian Noise
    Xiaoqun Zhang
MS54 (2 sessions) Optimization in Imaging: Algorithms, Applications and Theory
Xiaojun Chen, Xiaoming Yuan
  • Functional-Analytic and Numerical Issues in Splitting Methods for Total Variation-Based Image Reconstruction
    Michael Hintermueller
  • Implicit Filtering
    Tim Kelley
  • A Semismooth Newton-CG Augmented Lagrangian Algorithm for Convex Minimization Problems with Non-Separable ℓ1-regularization
    Kim-Chuan Toh
  • An Algorithm for Variable Density Sampling with Block-Constrained Acquisition
    Pierre Weiss
  • S1/2 Regularization Methods and Fixed Point Algorithms for Affine Rank Minimization Problems
    Naihua Xiu
  • The Augmented-Lagrangian-Type Methods for Low Multilinear-Rank Tensor Recovery
    Lei Yang
  • A Nonmonotone Approximate Sequence Algorithm for Unconstrained Nonlinear Optimization
    Hongchao Zhang
  • Proximal Linearized Alternating Direction Method for Image Restoration
    Sangwoon Yun
MS55 (2 sessions) Advances and Trends of Modern Image Restoration
Lei Zhang, Ming-Hsuan Yang
  • Weighted Nuclear Norm Minimization for Image Restoration
    Lei Zhang
  • Deblurring Face Images with Exemplars
    Ming-Hsuan Yang
  • The Noise Clinic
    Antoni Buades
  • Joint Spatiotemporal Removal of Mixed Random and Fixed-pattern Noise From Video
    Alessandro Foi
  • Structure-Texture Separation via Relative Total Variation
    Jiaya Jia
  • Super-Resolution from Internet-Scale Scene Matching
    Libin Geoffrey Sun
MS56 (1 session) Directional Multiscale Representation
Xiaosheng Zhuang
  • Image Denoising by Frequency-Based Directional Multiscale Representation Systems
    Xiaosheng Zhuang
  • Image Denoising by Directional Separable Complex Tight Framelets
    Bin Han
  • Image Restoration Using Shearlet Based Sparsity Priors.
    Wang-Q Lim
MS57 (6 sessions) Modeling and Algorithms for Imaging Problems
Fang Li, Huanfeng Shen, Wei Wang, Xi-Le Zhao
  • Study on Relationship between System Matrix and Reconstructed Image Quality in Iterative Image Reconstruction
    Jianfeng He
  • A Universal Variational Framework for Sparsity Based Image Inpainting
    Fang Li
  • Image Restoration and Segmentation Based on a Bilaterally Constrained Hybrid Total-Variation-Type Model
    Zhifeng Pang
  • A New Variational Model for Image Segmentation
    Ling Pi
  • Point Set Registration under Lie Group Framework
    Yaxin Peng
  • On Decomposition-Based Block Preconditioned Iterative Methods for Half-Quadratic Image Restoration
    Yumei Huang
  • Digital Inpainting of Remote Sensing Images
    Huanfeng Shen
  • Ensemble Learning for Remote Sensing Image Processing
    Peijun Du
  • Hyperspectral Anisotropic Diffusion for Image Denoising Based on A Novel Diffusion Tensor
    Yi Wang
  • Separable Tensor Compressive Sensing and Application in Hyperspectral Imaging
    Yongqiang Zhao
  • An Online Coupled Dictionary Learning Approach for Remote Sensing Image Fusion
    Hongyan Zhang
  • Joint Blind Unmixing and Sparse Representation for Anomaly Detection in Hyperspectral Image
    Yuancheng Huang
  • A Variational Approach for Image Stitching
    Wei Wang
  • Screening Technique: Identifying Most Positions of Zeros in a Sparse Solution
    Chaomin Shen
  • Variational Approach for Color-to-Grayscale Image Conversion
    Zhengmeng Jin
  • Total Generalized Variation via Spectral Decomposition
    Liang Xiao
  • Framelet Based Convex Optimization Model for Multiplicative Noise and Blur Removal
    Fan Wang
  • A Primal-Dual Method for Meyer's Model of Cartoon and Texture Decomposition
    Youwei Wen
  • Single Image Dehazing and Denoising: A Fast Variational Approach
    Faming Fang
  • Total Variation Regularization Variational Method to Retrieval Phases from Partial Magnitude of 2D Images
    Huibin Chang
  • A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise
    Jun Liu
  • Edge Detection Using a Modified Mumford-Shah Model
    Yuying Shi
  • Fast Algorithms for Structured Sparsity Based Brain Imaging
    Yilun Wang
  • A Level Set Formulation of Geodesic Curvature Flow on Simplicial Surfaces
    Chunlin Wu
MS58 (1 session) Novel Computational Methods for Electromagnetic Bioimaging Applications
Erkki Somersalo, Daniela Calvetti
  • Imaging Focal Brain Activity from MEG Data
    Erkki Somersalo
  • Neuroelectric Source Localization by Random Spatial Sampling
    Francesca Pitolli
  • Handling uncertainty in the measurement geometry in practical EIT
    Stratos Staboulis
  • IAS Inversion of Electromagnetic Field Data
    Sampsa Pursiainen
MS59 (1 session) Spectral Geometry in Manifold Analysis - Theory and Applications
Dan Raviv
  • Scale, Equi-Affine and Affine Invariant Metrics
    Dan Raviv
  • Computational Metric Geometry in the Natural Space
    Ron Kimmel
  • Building Compatible Bases on Graphs, Images, and Manifolds
    Davide Eynard
  • Sparse Models in Shape Analysis
    Alexander M. Bronstein
MS60 (2 sessions) Tensor Decompositions in Numerical Analysis, Optimization and Imaging
Eugene Tyrtyshnikov, Ivan Oseledets
  • Low-Rank Structures in Numerical Analysis and Data Recovery Problems
    Eugene Tyrtyshnikov
  • Numerical Tensor Methods: Tools and Applications
    Ivan Oseledets
  • Tensor Recovery Methods Using Nuclear Norms of Associated Matrices
    Olga Lebedeva
  • Optimal Measurements in the K-Spaces and Image Reconstruction Techniques
    Dmitry Zheltkov
  • Wavelet Tensor Train Decomposition for the Compression of Image Sequences
    Pavel Kharyuk
  • The Application of Tensor Calculus to the Probabilistic Graphical Models: Results and Open Problems
    Dmitry Vetrov
  • Low-Rank Approximation of Energies in Markov Random Fields and Their Representation in TT-Format
    Anton Rodomanov
  • Computationally Efficient Methods for MAP-Inference and Partition Function Estimation in Graphhical Models in TT-Format
    Alexander Novikov