Weichel, F.[Frederic]
* 2021: 3D-Guided Face Manipulation of 2D Images for the Prediction of Post-Operative Outcome After Cranio-Maxillofacial Surgery
Weichelt, H.[Horst]
* 2010: Optimised Near-Real Time Data Acquisition and Preprocessing of Satellite Data for Disaster Related Rapid Mapping
* 2012: SNR Evaluation of the RapidEye Space-borne Cameras
* 2013: Editorial, Issue Introduction
Weichert, F.[Frank]
* 2014: Signal/Background Classification of Time Series for Biological Virus Detection
* 2018: Multi-Objective Optimisation Based Planning of Power-Line Grid Expansions
* 2018: SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
Includes: Weichert, F.[Frank] Weichert, F.
Weichert, W.
* 2020: Revealing the Microscopic Structure of Human Renal Cell Carcinoma in Three Dimensions
* 2022: Multi-Scale Investigation of Human Renal Tissue in Three Dimensions
Weichman, P.B.
* 2013: Validation of Advanced EM Models for UXO Discrimination
Weichselbaum, J.[Johann]
* 2012: Off-road Terrain Mapping Based on Dense Hierarchical Real-time Stereo Vision
* 2017: LACO-Wiki: A New Online Land Cover Validation Tool Demonstrated Using GlobeLand30 for Kenya
* 2022: Photogrammetric 3D mobile mapping of rail tracks
Includes: Weichselbaum, J.[Johann] Weichselbaum, J.[Juergen] Weichselbaum, J.
Weichselbraun, A.
* 2017: Aspect-Based Extraction and Analysis of Affective Knowledge from Social Media Streams
Weickert, J.[Joachim]
* 1994: Anisotropic Diffusion Filters for Image Processing Based Quality Control
* 1995: Multiscale texture enhancement
* 1996: Conservative Image Transformations with Restoration and Scale-Space Properties
* 1996: Foundations and Applications of Anisotropic Diffusion Filtering
* 1996: Model for the Cloudiness of Fabrics, A
* 1996: Theoretical Foundations of Anisotropic Diffusion in Image Processing
* 1997: Coherence-Enhancing Diffusion of Colour Images
* 1997: Nonlinear Diffusion Scale-Spaces
* 1997: On the History of Gaussian Scale-Space Axiomatics
* 1997: Parallel Implementations of AOS Schemes: A Fast Way of Nonlinear Diffusion Filtering
* 1997: Recursive Separable Schemes for Nonlinear Diffusion Filters
* 1997: review of Nonlinear Diffusion Filtering, A
* 1997: Semidiscrete Nonlinear Scale-Space Theory and Its Relation to the Perona-Malik Paradox, A
* 1998: Anisotropic Diffusion in Image Processing
* 1998: Efficient and Reliable Schemes for Nonlinear Diffusion Filtering
* 1998: Note on Differential Corner Measures, A
* 1999: Coherence-Enhancing Diffusion Filtering
* 1999: Coherence-Enhancing Diffusion of Colour Images
* 1999: Linear Scale-Space has First been Proposed in Japan
* 1999: Real-Time Algorithm for Assessing Inhomogeneities in Fabrics, A
* 1999: Scale-Space Approach to Nonlocal Optical Flow Calculations, A
* 1999: Scale-Space Properties of Regularization Methods
* 2000: Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space Based Approach
* 2000: Relations Between Regularization and Diffusion Filtering
* 2000: Reliable Estimation of Dense Optical Flow Fields with Large Displacements
* 2000: Scale-Space Properties of Nonstationary Iterative Regularization Methods
* 2000: Smoothing images creates corners
* 2001: Efficient image segmentation using partial differential equations and morphology
* 2001: Fast Parallel Algorithms for a Broad Class of Nonlinear Variational Diffusion Approaches
* 2001: Tensor-driven Active Contour Model for Moving Object Segmentation, A
* 2001: Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion, A
* 2001: Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint
* 2002: Combining the Advantages of Local and Global Optic Flow Methods
* 2002: Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space Based Approach
* 2002: Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing
* 2002: Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
* 2002: Fast Implicit Active Contour Models
* 2002: Nonlinear Matrix Diffusion for Optic Flow Estimation
* 2002: Relations between Soft Wavelet Shrinkage and Total Variation Denoising
* 2002: Scheme for Coherence-Enhancing Diffusion Filtering with Optimized Rotation Invariance, A
* 2003: Coherence-Enhancing Shock Filters
* 2003: Correspondences between Wavelet Shrinkage and Nonlinear Diffusion
* 2003: Domain Decomposition for Parallel Variational Optical Flow Computation
* 2003: Equivalence Results for TV Diffusion and TV Regularisation
* 2003: Explanation for the Logarithmic Connection between Linear and Morphological Systems, An
* 2003: Growth and motion in three-dimensional medical images
* 2003: Median Filtering of Tensor-Valued Images
* 2003: Real-Time Optic Flow Computation with Variational Methods
* 2003: Rotationally Invariant Wavelet Shrinkage
* 2003: Unsupervised Segmentation Incorporating Colour, Texture, and Motion
* 2003: Unsupervised Segmentation Incorporating Colour, Texture, and Motion
* 2004: High Accuracy Optical Flow Estimation Based on a Theory for Warping
* 2004: High performance cluster computing with 3-D nonlinear diffusion filters
* 2004: Level Set Based Image Segmentation with Multiple Regions
* 2004: Morphological Operations on Matrix-Valued Images
* 2004: Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing
* 2004: TV Flow Based Local Scale Measure for Texture Discrimination, A
* 2005: Denoising of Audio Data by Nonlinear Diffusion
* 2005: Diffusion-Inspired Shrinkage Functions and Stability Results for Wavelet Denoising
* 2005: Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time
* 2005: Domain Decomposition for Variational Optical-Flow Computation
* 2005: Explanation for the Logarithmic Connection between Linear and Morphological System Theory, An
* 2005: Four-Pixel Scheme for Singular Differential Equations, A
* 2005: Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods
* 2005: Matrix-Valued Filters as Convex Programs
* 2005: Optic Flow Goes Stereo: A Variational Method for Estimating Discontinuity-Preserving Dense Disparity Maps
* 2005: PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors
* 2005: Regularity and Scale-Space Properties of Fractional High Order Linear Filtering
* 2005: Relativistic Scale-Spaces
* 2005: Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs
* 2005: Stability and Local Feature Enhancement of Higher Order Nonlinear Diffusion Filtering
* 2005: Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation
* 2005: Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
* 2005: Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
* 2005: Variational Deblurring of Images with Uncertain and Spatially Variant Blurs
* 2005: Variational Optical Flow Computation in Real Time
* 2006: Curvature-Driven PDE Methods for Matrix-Valued Images
* 2006: From Adaptive Averaging to Accelerated Nonlinear Diffusion Filtering
* 2006: From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage
* 2006: Fully automated segmentation and morphometrical analysis of muscle fibre images
* 2006: Geometric Properties for Incomplete Data
* 2006: Highly Accurate Optic Flow Computation with Theoretically Justified Warping
* 2006: Level Set Segmentation With Multiple Regions
* 2006: Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods, A
* 2006: Nonlinear structure tensors
* 2006: Shock-Capturing Algorithm for the Differential Equations of Dilation and Erosion, A
* 2006: Special issue for the 5th International Conference on Scale-Space and PDE Methods in Computer Vision
* 2006: TV flow based local scale estimate and its application to texture discrimination, A
* 2006: Variational Motion Segmentation with Level Sets
* 2007: Anisotropic Continuous-Scale Morphology
* 2007: Beauty with Variational Methods: An Optic Flow Approach to Hairstyle Simulation
* 2007: Combining Curvature Motion and Edge-Preserving Denoising
* 2007: Direct Shape-from-Shading with Adaptive Higher Order Regularisation
* 2007: Evaluating a General Class of Filters for Image Denoising
* 2007: From two-dimensional nonlinear diffusion to coupled Haar wavelet shrinkage
* 2007: Fully automated segmentation and morphometrical analysis of muscle fibre images
* 2007: Generic Approach to the Filtering of Matrix Fields with Singular PDEs, A
* 2007: Illumination-Robust Variational Optical Flow with Photometric Invariants
* 2007: Level Set Methods for Watershed Image Segmentation
* 2007: Morphology for matrix data: Ordering versus PDE-based approach
* 2007: Occlusion Modeling by Tracking Multiple Objects
* 2007: Region-Based Pose Tracking
* 2007: Robust Variational Reconstruction from Multiple Views
* 2007: Theoretical foundations for spatially discrete 1-D shock filtering
* 2007: Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
* 2008: Combined Registration Methods for Pose Estimation
* 2008: Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions
* 2008: Differential Geometry of Monogenic Signal Representations
* 2008: Generic Neighbourhood Filtering Framework for Matrix Fields, A
* 2008: Image Compression with Anisotropic Diffusion
* 2008: Is Dense Optic Flow Useful to Compute the Fundamental Matrix?
* 2008: Markerless motion capture of man-machine interaction
* 2008: Perspective Shape from Shading with Non-Lambertian Reflectance
* 2008: Staying Well Grounded in Markerless Motion Capture
* 2008: Variational Model for the Joint Recovery of the Fundamental Matrix and the Optical Flow, A
* 2008: Variational registration of tensor-valued images
* 2009: Beating the Quality of JPEG 2000 with Anisotropic Diffusion
* 2009: Complementary Optic Flow
* 2009: Directional Rouy-Tourin Scheme for Adaptive Matrix-Valued Morphology, A
* 2009: Edge-Based Image Compression with Homogeneous Diffusion
* 2009: Fast Shape from Shading for Phong-Type Surfaces
* 2009: Highly Accurate PDE-Based Morphology for General Structuring Elements
* 2009: Hyperbolic Numerics for Variational Approaches to Correspondence Problems
* 2009: Inpainting Ideas for Image Compression
* 2009: Lattice Boltzmann Model for Rotationally Invariant Dithering, A
* 2009: Localised Mixture Models in Region-Based Tracking
* 2009: Making Shape from Shading Work for Real-World Images
* 2009: PDE-Driven Adaptive Morphology for Matrix Fields
* 2009: Properties of Higher Order Nonlinear Diffusion Filtering
* 2009: Theoretical Foundations for Discrete Forward-and-Backward Diffusion Filtering
* 2010: Colour, texture, and motion in level set based segmentation and tracking
* 2010: From Box Filtering to Fast Explicit Diffusion
* 2010: Generalised Nonlocal Image Smoothing
* 2010: Joint Estimation of Motion, Structure and Geometry from Stereo Sequences
* 2010: Variational optic flow on the Sony PlayStation 3: Accurate dense flow fields for real-time applications
* 2011: Adaptive Continuous-Scale Morphology for Matrix Fields
* 2011: Can Variational Models for Correspondence Problems Benefit from Upwind Discretisations?
* 2011: Dithering By Differences Of Convex Functions
* 2011: Edge-based compression of cartoon-like images with homogeneous diffusion
* 2011: Fast PDE-Based Image Analysis in Your Pocket
* 2011: Highly Accurate Schemes for PDE-Based Morphology with General Convex Structuring Elements
* 2011: JMIV Special Issue: Mathematics and Image Analysis
* 2011: Novel Schemes for Hyperbolic PDEs Using Osmosis Filters from Visual Computing
* 2011: On Improving the Efficiency of Tensor Voting
* 2011: Optic Flow in Harmony
* 2011: Optic Flow Scale Space
* 2011: Optimising Spatial and Tonal Data for Homogeneous Diffusion Inpainting
* 2011: Rotationally invariant similarity measures for nonlocal image denoising
* 2011: Simultaneous Interpolation and Deconvolution Model for the 3-D Reconstruction of Cell Images
* 2011: Theoretical Foundations of Gaussian Convolution by Extended Box Filtering
* 2012: Anisotropic Range Image Integration
* 2012: Cross Anisotropic Cost Volume Filtering for Segmentation
* 2012: Dense versus Sparse Approaches for Estimating the Fundamental Matrix
* 2012: Diffusion-based Image Compression in Steganography
* 2012: Motion Compensated Frame Interpolation with a Symmetric Optical Flow Constraint
* 2012: Region-based pose tracking with occlusions using 3D models
* 2012: Video Compression with 3-D Pose Tracking, PDE-Based Image Coding, and Electrostatic Halftoning
* 2013: Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures, The
* 2013: Compression of Depth Maps with Segment-Based Homogeneous Diffusion
* 2013: Focus Fusion with Anisotropic Depth Map Smoothing
* 2013: Fully Discrete Theory for Linear Osmosis Filtering, A
* 2013: L_2-Stable Nonstandard Finite Differences for Anisotropic Diffusion
* 2013: Priors for Stereo Vision under Adverse Weather Conditions
* 2013: Why Is the Census Transform Good for Robust Optic Flow Computation?
* 2014: Colour image compression with anisotropic diffusion
* 2014: Dense Pipeline for 3D Reconstruction from Image Sequences, A
* 2014: Fast electrostatic halftoning
* 2014: Introducing More Physics into Variational Depth-from-Defocus
* 2014: Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow
* 2014: Simultaneous HDR and Optic Flow Computation
* 2014: Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion
* 2015: Beyond pure quality: Progressive modes, region of interest coding, and real time video decoding for PDE-based image compression
* 2015: Compressing Images with Diffusion- and Exemplar-Based Inpainting
* 2015: Discrete Green's Functions for Harmonic and Biharmonic Inpainting with Sparse Atoms
* 2015: focus fusion framework with anisotropic depth map smoothing, A
* 2015: From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs
* 2015: Introducing Maximal Anisotropy into Second Order Coupling Models
* 2015: Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images
* 2015: Linear Scale-Space Theory for Continuous Nonlocal Evolutions, A
* 2015: Mathematical Foundations and Generalisations of the Census Transform for Robust Optic Flow Computation
* 2015: Morphological Equivalents of Relativistic and Alpha-Scale-Spaces, The
* 2015: Morphologically Invariant Matching of Structures with the Complete Rank Transform
* 2015: Multiview Depth Parameterisation with Second Order Regularisation
* 2015: Variational Exposure Fusion with Optimal Local Contrast
* 2015: Why Does Non-binary Mask Optimisation Work for Diffusion-Based Image Compression?
* 2016: Cyclic Schemes for PDE-Based Image Analysis
* 2016: Evaluating the true potential of diffusion-based inpainting in a compression context
* 2016: Fast retinal vessel analysis
* 2016: FSI Schemes: Fast Semi-Iterative Solvers for PDEs and Optimisation Methods
* 2016: Gradients versus Grey Values for Sparse Image Reconstruction and Inpainting-Based Compression
* 2016: Morphological Counterparts of Linear Shift-Invariant Scale-Spaces
* 2016: Robust Interactive Multi-label Segmentation with an Advanced Edge Detector
* 2017: Denoising by Inpainting
* 2017: Efficient and Stable Two-Pixel Scheme for 2D Forward-and-Backward Diffusion, An
* 2017: Evaluating Data Terms for Variational Multi-frame Super-Resolution
* 2017: Modelling Stable Backward Diffusion and Repulsive Swarms with Convex Energies and Range Constraints
* 2017: Physically inspired depth-from-defocus
* 2017: Turning Diffusion-Based Image Colorization Into Efficient Color Compression
* 2018: AFSI: Adaptive Restart for Fast Semi-Iterative Schemes for Convex Optimisation
* 2018: Discrete Theory and Efficient Algorithms for Forward-and-Backward Diffusion Filtering, A
* 2018: Optimising Data for Exemplar-Based Inpainting
* 2019: Compressing Audio Signals with Inpainting-Based Sparsification
* 2019: Enhancing Patch-Based Methods with Inter-Frame Connectivity for Denoising Multi-Frame Images
* 2019: Hough Based Evolutions for Enhancing Structures in 3D Electron Microscopy
* 2019: PDE Evolutions for M-Smoothers: From Common Myths to Robust Numerics
* 2019: Pseudodifferential Inpainting: The Missing Link Between PDE- and RBF-Based Interpolation
* 2019: Sparsification Scale-Spaces
* 2020: Stable Backward Diffusion Models that Minimise Convex Energies
* 2021: Efficient Data Optimisation for Harmonic Inpainting with Finite Elements
* 2021: Inpainting-based Video Compression in FullHD
* 2021: Multi-frame Super-resolution from Noisy Data
* 2021: Object Segmentation Tracking from Generic Video Cues
* 2021: Sparse Inpainting with Smoothed Particle Hydrodynamics
* 2021: systematic evaluation of coding strategies for sparse binary images, A
* 2021: Translating Numerical Concepts for PDEs into Neural Architectures
* 2022: Learning Sparse Masks for Diffusion-Based Image Inpainting
* 2023: Diffusion-shock Inpainting
* 2023: Efficient Neural Generation of 4k Masks for Homogeneous Diffusion Inpainting
* 2023: Image Blending with Osmosis
Includes: Weickert, J.[Joachim] Weickert, J.
219 for Weickert, J.
Weickert, J.A.
* 1997: Nonlinear Multiscale Representations for Image Segmentation
* 1997: On Generalized Entropies and Scale-Space
* 1998: Three Dimensional MR Brain Segmentation
* 1999: Information Measures in Scale-Spaces
* 1999: Multiscale Segmentation of Three-Dimensional MR Brain Images
* 2006: Flexible Segmentation and Smoothing of DT-MRI Fields Through a Customizable Structure Tensor
Includes: Weickert, J.A. Weickert, J.A.[Joachim A.]