Joachim Weickert

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 92

Top Venues

CoRR

SSVM

J. Math. Imaging Vis.

GCPR

Kaiserslautern University of Technology, Germany (PHD)

Education History

Kaiserslautern University of Technology, Germany

PHD

Publications

Niklas Kämper, Vassillen Chizhov, Joachim Weickert
Efficient Parallel Algorithms for Inpainting-Based Representations of 4K Images - Part II: Spatial and Tonal Data Optimization. CoRR (2024)
Niklas Kämper, Vassillen Chizhov, Joachim Weickert
Efficient Parallel Algorithms for Inpainting-Based Representations of 4K Images - Part I: Homogeneous Diffusion Inpainting. CoRR (2024)
Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. CoRR (2023)
Kristina Schaefer, Joachim Weickert
Diffusion-Shock Inpainting. SSVM (2023)
Paul Bungert, Pascal Peter, Joachim Weickert
Image Blending with Osmosis. SSVM (2023)
Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert
Connections Between Numerical Algorithms for PDEs and Neural Networks. J. Math. Imaging Vis. 65 (1) (2023)
Ferdinand Jost, Vassillen Chizhov, Joachim Weickert
Optimising Different Feature Types for Inpainting-Based Image Representations. ICASSP (2023)
Pascal Peter, Karl Schrader, Tobias Alt, Joachim Weickert
Deep spatial and tonal data optimisation for homogeneous diffusion inpainting. Pattern Anal. Appl. 26 (4) (2023)
Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. SSVM (2023)
Karl Schrader, Joachim Weickert, Michael Krause
Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations. CoRR (2023)
Niklas Kämper, Joachim Weickert
Domain Decomposition Algorithms for Real-Time Homogeneous Diffusion Inpainting in 4K. ICASSP (2022)
Tobias Alt, Pascal Peter, Joachim Weickert
Learning Sparse Masks for Diffusion-Based Image Inpainting. IbPRIA (2022)
Karl Schrader, Tobias Alt, Joachim Weickert, Michael Ertel
CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior. EUVIP (2022)
Kristina Schaefer, Joachim Weickert
Stabilised Inverse Flowline Evolution for Anisotropic Image Sharpening. EUVIP (2022)
Karl Schrader, Tobias Alt, Joachim Weickert, Michael Ertel
CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior. CoRR (2022)
Martin Welk, Joachim Weickert
PDE Evolutions for M-Smoothers in One, Two, and Three Dimensions. J. Math. Imaging Vis. 63 (2) (2021)
Tobias Alt, Joachim Weickert
Learning Integrodifferential Models for Image Denoising. ICASSP (2021)
Tobias Alt, Pascal Peter, Joachim Weickert
Learning Sparse Masks for Diffusion-based Image Inpainting. CoRR (2021)
Rahul Mohideen Kaja Mohideen, Pascal Peter, Joachim Weickert
A systematic evaluation of coding strategies for sparse binary images. Signal Process. Image Commun. 99 (2021)
Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader
Translating Numerical Concepts for PDEs into Neural Architectures. SSVM (2021)
Sarah Andris, Pascal Peter, Rahul Mohideen Kaja Mohideen, Joachim Weickert, Sebastian Hoffmann
Inpainting-Based Video Compression in FullHD. SSVM (2021)
Kireeti Bodduna, Joachim Weickert, Marcelo Cárdenas
Multi-frame Super-Resolution from Noisy Data. SSVM (2021)
Viktor Daropoulos, Matthias Augustin, Joachim Weickert
Sparse Inpainting with Smoothed Particle Hydrodynamics. SIAM J. Imaging Sci. 14 (4) (2021)
Tobias Alt, Karl Schrader, Joachim Weickert, Pascal Peter, Matthias Augustin
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods. CoRR (2021)
Vassillen Chizhov, Joachim Weickert
Efficient Data Optimisation for Harmonic Inpainting with Finite Elements. CAIP (2) (2021)
Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader
Translating Numerical Concepts for PDEs into Neural Architectures. CoRR (2021)
Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert
Connections between Numerical Algorithms for PDEs and Neural Networks. CoRR (2021)
Sarah Andris, Joachim Weickert, Tobias Alt, Pascal Peter
JPEG Meets PDE-based Image Compression. PCS (2021)
Kireeti Bodduna, Joachim Weickert
Multi-frame Super-resolution from Noisy Data. CoRR (2021)
Leif Bergerhoff, Marcelo Cárdenas, Joachim Weickert, Martin Welk
Stable Backward Diffusion Models that Minimise Convex Energies. J. Math. Imaging Vis. 62 (6-7) (2020)
Martin Welk, Joachim Weickert
PDE Evolutions for M-Smoothers in One, Two, and Three Dimensions. CoRR (2020)
Ferdinand Jost, Pascal Peter, Joachim Weickert
Compressing Piecewise Smooth Images with the Mumford-Shah Cartoon Model. EUSIPCO (2020)
Tobias Alt, Joachim Weickert
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising. ICASSP (2020)
Tobias Alt, Joachim Weickert
Learning Integrodifferential Models for Image Denoising. CoRR (2020)
Ferdinand Jost, Pascal Peter, Joachim Weickert
Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting. ICASSP (2020)
Amirhossein Kardoost, Sabine Müller, Joachim Weickert, Margret Keuper
Object Segmentation Tracking from Generic Video Cues. ICPR (2020)
Tobias Alt, Joachim Weickert, Pascal Peter
Translating Diffusion, Wavelets, and Regularisation into Residual Networks. CoRR (2020)
Matthias Augustin, Joachim Weickert, Sarah Andris
Pseudodifferential Inpainting: The Missing Link Between PDE- and RBF-Based Interpolation. SSVM (2019)
Pascal Peter, Jan Contelly, Joachim Weickert
Compressing Audio Signals with Inpainting-Based Sparsification. SSVM (2019)
Marcelo Cárdenas, Pascal Peter, Joachim Weickert
Sparsification Scale-Spaces. SSVM (2019)
Tobias Alt, Joachim Weickert
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising. CoRR (2019)
Martin Welk, Joachim Weickert
PDE Evolutions for M-Smoothers: From Common Myths to Robust Numerics. SSVM (2019)
Kireeti Bodduna, Joachim Weickert, Achilleas S. Frangakis
Hough Based Evolutions for Enhancing Structures in 3D Electron Microscopy. CAIP (1) (2019)
Leif Bergerhoff, Joachim Weickert, Yehuda Dar
Algorithms for Piecewise Constant Signal Approximations. CoRR (2019)
Leif Bergerhoff, Joachim Weickert, Yehuda Dar
Algorithms for Piecewise Constant Signal Approximations. EUSIPCO (2019)
Kireeti Bodduna, Joachim Weickert
Enhancing Patch-Based Methods with Inter-Frame Connectivity for Denoising Multi-Frame Images. ICIP (2019)
Sabine Müller, Joachim Weickert, Norbert M. Graf
Robustness of Brain Tumor Segmentation. CoRR (2019)
Aaron Wewior, Joachim Weickert
Variational Coupling Revisited: Simpler Models, Theoretical Connections, and Novel Applications. CoRR (2019)
Sabine Müller, Joachim Weickert, Norbert M. Graf
Wilms' Tumor in Childhood: Can Pattern Recognition Help for Classification? MIUA (2019)
Leif Bergerhoff, Marcelo Cárdenas, Joachim Weickert, Martin Welk
Stable Backward Diffusion Models that Minimise Convex Energies. CoRR (2019)
Kireeti Bodduna, Joachim Weickert
Poisson Noise Removal Using Multi-Frame 3D Block Matching. EUVIP (2019)
Amirhossein Kardoost, Sabine Müller, Joachim Weickert, Margret Keuper
Object Segmentation Tracking from Generic Video Cues. CoRR (2019)
Joachim Weickert
Editorial. J. Math. Imaging Vis. 60 (7) (2018)
Joachim Weickert
Editorial. J. Math. Imaging Vis. 60 (5) (2018)
Jón Arnar Tómasson, Peter Ochs, Joachim Weickert
AFSI: Adaptive Restart for Fast Semi-Iterative Schemes for Convex Optimisation. GCPR (2018)
Martin Welk, Joachim Weickert, Guy Gilboa
A Discrete Theory and Efficient Algorithms for Forward-and-Backward Diffusion Filtering. J. Math. Imaging Vis. 60 (9) (2018)
Lena Karos, Pinak Bheed, Pascal Peter, Joachim Weickert
Optimising Data for Exemplar-Based Inpainting. ACIVS (2018)
Tim Dahmen, Patrick Trampert, Joachim Weickert, Philipp Slusallek
Space-Filling Curve Indices as Acceleration Structure for Exemplar-Based Inpainting. CoRR (2017)
Joachim Weickert
Editorial. J. Math. Imaging Vis. 58 (1) (2017)
Nico Persch, Christopher Schroers, Simon Setzer, Joachim Weickert
Physically inspired depth-from-defocus. Image Vis. Comput. 57 (2017)
Robin Dirk Adam, Pascal Peter, Joachim Weickert
Denoising by Inpainting. SSVM (2017)
Kireeti Bodduna, Joachim Weickert
Evaluating Data Terms for Variational Multi-frame Super-Resolution. SSVM (2017)
Leif Bergerhoff, Giovanno Marcelo Cárdenas, Joachim Weickert, Martin Welk
Modelling Stable Backward Diffusion and Repulsive Swarms with Convex Energies and Range Constraints. EMMCVPR (2017)
Pascal Peter, Lilli Kaufhold, Joachim Weickert
Turning Diffusion-Based Image Colorization Into Efficient Color Compression. IEEE Trans. Image Process. 26 (2) (2017)
Martin Welk, Joachim Weickert
An Efficient and Stable Two-Pixel Scheme for 2D Forward-and-Backward Diffusion. SSVM (2017)
Naoufal Amrani, Joan Serra-Sagristà, Pascal Peter, Joachim Weickert
Diffusion-Based Inpainting for Coding Remote-Sensing Data. IEEE Geosci. Remote. Sens. Lett. 14 (8) (2017)
Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert
Evaluating the true potential of diffusion-based inpainting in a compression context. Signal Process. Image Commun. 46 (2016)
Joachim Weickert, Sven Grewenig, Christopher Schroers, Andrés Bruhn
Cyclic Schemes for PDE-Based Image Analysis. Int. J. Comput. Vis. 118 (3) (2016)
Christine Guillemot, Gerlind Plonka-Hoch, Thomas Pock, Joachim Weickert
Inpainting-Based Image Compression (Dagstuhl Seminar 16462). Dagstuhl Reports 6 (11) (2016)
David Hafner, Joachim Weickert
Variational Image Fusion with Optimal Local Contrast. Comput. Graph. Forum 35 (1) (2016)
Joachim Weickert
Editorial. J. Math. Imaging Vis. 54 (2) (2016)
Sarah Andris, Pascal Peter, Joachim Weickert
A proof-of-concept framework for PDE-based video compression. PCS (2016)
Sabine Müller, Joachim Weickert, Norbert M. Graf
Automatic brain tumor segmentation with a fast Mumford-Shah algorithm. Medical Imaging: Image Processing (2016)
Sabine Müller, Peter Ochs, Joachim Weickert, Norbert M. Graf
Robust Interactive Multi-label Segmentation with an Advanced Edge Detector. GCPR (2016)
David Hafner, Peter Ochs, Joachim Weickert, Martin Reißel, Sven Grewenig
FSI Schemes: Fast Semi-Iterative Solvers for PDEs and Optimisation Methods. GCPR (2016)
Martin Schmidt, Joachim Weickert
Morphological Counterparts of Linear Shift-Invariant Scale-Spaces. J. Math. Imaging Vis. 56 (2) (2016)
Markus Schneider, Pascal Peter, Sebastian Hoffmann, Joachim Weickert, Enric Meinhardt-Llopis
Gradients versus Grey Values for Sparse Image Reconstruction and Inpainting-Based Compression. ACIVS (2016)
Michael Krause, Ralph Maria Alles, Bernhard Burgeth, Joachim Weickert
Fast retinal vessel analysis. J. Real Time Image Process. 11 (2) (2016)
Joachim Weickert
Editorial. J. Math. Imaging Vis. 51 (3) (2015)
Christopher Schroers, David Hafner, Joachim Weickert
Multiview Depth Parameterisation with Second Order Regularisation. SSVM (2015)
David Hafner, Oliver Demetz, Joachim Weickert, Martin Reißel
Mathematical Foundations and Generalisations of the Census Transform for Robust Optic Flow Computation. J. Math. Imaging Vis. 52 (1) (2015)
Leif Bergerhoff, Joachim Weickert
Modelling Image Processing with Discrete First-Order Swarms. NaBIC (2015)
David Hafner, Christopher Schroers, Joachim Weickert
Introducing Maximal Anisotropy into Second Order Coupling Models. GCPR (2015)
Martin Schmidt, Joachim Weickert
The Morphological Equivalents of Relativistic and Alpha-Scale-Spaces. SSVM (2015)
Giovanno Marcelo Cárdenas, Joachim Weickert, Sarah Schäffer
A Linear Scale-Space Theory for Continuous Nonlocal Evolutions. SSVM (2015)
Madina Boshtayeva, David Hafner, Joachim Weickert
A focus fusion framework with anisotropic depth map smoothing. Pattern Recognit. 48 (11) (2015)
Pascal Peter, Joachim Weickert
Compressing Images with Diffusion- and Exemplar-Based Inpainting. SSVM (2015)
Laurent Hoeltgen, Markus Mainberger, Sebastian Hoffmann, Joachim Weickert, Ching Hoo Tang, Simon Setzer, Daniel Johannsen, Frank Neumann, Benjamin Doerr
Optimising Spatial and Tonal Data for PDE-based Inpainting. CoRR (2015)
Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert
From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs. PSIVT (2015)
Oliver Demetz, David Hafner, Joachim Weickert
Morphologically Invariant Matching of Structures with the Complete Rank Transform. Int. J. Comput. Vis. 113 (3) (2015)
David Hafner, Joachim Weickert
Variational Exposure Fusion with Optimal Local Contrast. SSVM (2015)
Pascal Peter, Christian Schmaltz, Nicolas Mach, Markus Mainberger, Joachim Weickert
Beyond pure quality: Progressive modes, region of interest coding, and real time video decoding for PDE-based image compression. J. Vis. Commun. Image Represent. 31 (2015)
Pascal Gwosdek, Christian Schmaltz, Joachim Weickert, Tanja Teuber
Fast electrostatic halftoning. J. Real Time Image Process. 9 (2) (2014)
Joachim Weickert, Selim Esedoglu
Editorial. J. Math. Imaging Vis. 48 (3) (2014)
Laurent Hoeltgen, Joachim Weickert
Why Does Non-binary Mask Optimisation Work for Diffusion-Based Image Compression? EMMCVPR (2014)
Timm Schneevoigt, Christopher Schroers, Joachim Weickert
A Dense Pipeline for 3D Reconstruction from Image Sequences. GCPR (2014)
Pascal Peter, Joachim Weickert
Colour image compression with anisotropic diffusion. ICIP (2014)
Christopher Schroers, Simon Setzer, Joachim Weickert
A Variational Taxonomy for Surface Reconstruction from Oriented Points. Comput. Graph. Forum 33 (5) (2014)
Oliver Demetz, Michael Stoll, Sebastian Volz, Joachim Weickert, Andrés Bruhn
Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow. ECCV (1) (2014)
Christian Schmaltz, Pascal Peter, Markus Mainberger, Franziska Ebel, Joachim Weickert, Andrés Bruhn
Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion. Int. J. Comput. Vis. 108 (3) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Joachim Weickert