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ORCIDJoachim Weickert
Person information
- affiliation: Saarland University, Saarbrücken, Germany
- award (2010): Gottfried Wilhelm Leibniz Prize
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2020 – today
- 2024
[j97]Kristina Schaefer, Joachim Weickert:
Regularised Diffusion-Shock Inpainting. J. Math. Imaging Vis. 66(4): 447-463 (2024)- [c182]Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg:
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. ICML 2024 - [i25]Niklas Kämper, Vassillen Chizhov, Joachim Weickert:
Efficient Parallel Algorithms for Inpainting-Based Representations of 4K Images - Part I: Homogeneous Diffusion Inpainting. CoRR abs/2401.06744 (2024) - [i24]Niklas Kämper, Vassillen Chizhov, Joachim Weickert:
Efficient Parallel Algorithms for Inpainting-Based Representations of 4K Images - Part II: Spatial and Tonal Data Optimization. CoRR abs/2401.06747 (2024) - [i23]Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg:
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. CoRR abs/2405.14599 (2024) - 2023
- [j96]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): 185-208 (2023) - [j95]Pascal Peter
, Karl Schrader, Tobias Alt, Joachim Weickert:
Deep spatial and tonal data optimisation for homogeneous diffusion inpainting. Pattern Anal. Appl. 26(4): 1585-1600 (2023) - [c181]Ferdinand Jost, Vassillen Chizhov, Joachim Weickert:
Optimising Different Feature Types for Inpainting-Based Image Representations. ICASSP 2023: 1-5 - [c180]Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert:
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. SSVM 2023: 16-28 - [c179]Kristina Schaefer, Joachim Weickert:
Diffusion-Shock Inpainting. SSVM 2023: 588-600 - [c178]Paul Bungert, Pascal Peter, Joachim Weickert:
Image Blending with Osmosis. SSVM 2023: 652-664 - [i22]Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert:
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. CoRR abs/2303.10096 (2023) - [i21]Karl Schrader, Joachim Weickert, Michael Krause:
Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations. CoRR abs/2309.05575 (2023) - 2022
- [c177]Kristina Schaefer, Joachim Weickert:
Stabilised Inverse Flowline Evolution for Anisotropic Image Sharpening. EUVIP 2022: 1-6 - [c176]Karl Schrader, Tobias Alt, Joachim Weickert, Michael Ertel:
CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior. EUVIP 2022: 1-6 - [c175]Tobias Alt, Pascal Peter, Joachim Weickert:
Learning Sparse Masks for Diffusion-Based Image Inpainting. IbPRIA 2022: 528-539 - [c174]Niklas Kämper, Joachim Weickert:
Domain Decomposition Algorithms for Real-Time Homogeneous Diffusion Inpainting in 4K. ICASSP 2022: 1680-1684 - [i20]Karl Schrader, Tobias Alt, Joachim Weickert, Michael Ertel:
CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior. CoRR abs/2207.07921 (2022) - 2021
- [j94]Martin Welk, Joachim Weickert:
PDE Evolutions for M-Smoothers in One, Two, and Three Dimensions. J. Math. Imaging Vis. 63(2): 157-185 (2021) - [j93]Viktor Daropoulos, Matthias Augustin, Joachim Weickert:
Sparse Inpainting with Smoothed Particle Hydrodynamics. SIAM J. Imaging Sci. 14(4): 1669-1705 (2021) - [j92]Rahul Mohideen Kaja Mohideen, Pascal Peter, Joachim Weickert:
A systematic evaluation of coding strategies for sparse binary images. Signal Process. Image Commun. 99: 116424 (2021) - [c173]Vassillen Chizhov, Joachim Weickert:
Efficient Data Optimisation for Harmonic Inpainting with Finite Elements. CAIP (2) 2021: 432-441 - [c172]Tobias Alt, Joachim Weickert:
Learning Integrodifferential Models for Image Denoising. ICASSP 2021: 2045-2049 - [c171]Sarah Andris, Joachim Weickert, Tobias Alt, Pascal Peter:
JPEG Meets PDE-based Image Compression. PCS 2021: 1-5 - [c170]Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader:
Translating Numerical Concepts for PDEs into Neural Architectures. SSVM 2021: 294-306 - [c169]Sarah Andris, Pascal Peter, Rahul Mohideen Kaja Mohideen, Joachim Weickert, Sebastian Hoffmann:
Inpainting-Based Video Compression in FullHD. SSVM 2021: 425-436 - [c168]Kireeti Bodduna, Joachim Weickert, Marcelo Cárdenas:
Multi-frame Super-Resolution from Noisy Data. SSVM 2021: 565-577 - [i19]Kireeti Bodduna, Joachim Weickert:
Multi-frame Super-resolution from Noisy Data. CoRR abs/2103.13778 (2021) - [i18]Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader:
Translating Numerical Concepts for PDEs into Neural Architectures. CoRR abs/2103.15419 (2021) - [i17]Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert:
Connections between Numerical Algorithms for PDEs and Neural Networks. CoRR abs/2107.14742 (2021) - [i16]Tobias Alt, Karl Schrader, Joachim Weickert, Pascal Peter, Matthias Augustin:
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods. CoRR abs/2108.13993 (2021) - [i15]Tobias Alt, Pascal Peter, Joachim Weickert:
Learning Sparse Masks for Diffusion-based Image Inpainting. CoRR abs/2110.02636 (2021) - 2020
- [j91]Leif Bergerhoff, Marcelo Cárdenas, Joachim Weickert, Martin Welk:
Stable Backward Diffusion Models that Minimise Convex Energies. J. Math. Imaging Vis. 62(6-7): 941-960 (2020) - [c167]Ferdinand Jost, Pascal Peter, Joachim Weickert:
Compressing Piecewise Smooth Images with the Mumford-Shah Cartoon Model. EUSIPCO 2020: 511-515 - [c166]Tobias Alt, Joachim Weickert:
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising. ICASSP 2020: 2018-2022 - [c165]Ferdinand Jost, Pascal Peter, Joachim Weickert:
Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting. ICASSP 2020: 2198-2202 - [c164]Amirhossein Kardoost, Sabine Müller, Joachim Weickert, Margret Keuper:
Object Segmentation Tracking from Generic Video Cues. ICPR 2020: 623-630 - [i14]Tobias Alt, Joachim Weickert, Pascal Peter:
Translating Diffusion, Wavelets, and Regularisation into Residual Networks. CoRR abs/2002.02753 (2020) - [i13]Martin Welk, Joachim Weickert:
PDE Evolutions for M-Smoothers in One, Two, and Three Dimensions. CoRR abs/2007.13191 (2020) - [i12]Tobias Alt, Joachim Weickert:
Learning Integrodifferential Models for Image Denoising. CoRR abs/2010.10888 (2020)
2010 – 2019
- 2019
- [c163]Kireeti Bodduna, Joachim Weickert, Achilleas S. Frangakis:
Hough Based Evolutions for Enhancing Structures in 3D Electron Microscopy. CAIP (1) 2019: 102-112 - [c162]Leif Bergerhoff, Joachim Weickert, Yehuda Dar:
Algorithms for Piecewise Constant Signal Approximations. EUSIPCO 2019: 1-5 - [c161]Kireeti Bodduna, Joachim Weickert:
Poisson Noise Removal Using Multi-Frame 3D Block Matching. EUVIP 2019: 58-63 - [c160]Kireeti Bodduna, Joachim Weickert:
Enhancing Patch-Based Methods with Inter-Frame Connectivity for Denoising Multi-Frame Images. ICIP 2019: 2414-2418 - [c159]Sabine Müller, Joachim Weickert, Norbert M. Graf:
Wilms' Tumor in Childhood: Can Pattern Recognition Help for Classification? MIUA 2019: 38-47 - [c158]Matthias Augustin, Joachim Weickert, Sarah Andris:
Pseudodifferential Inpainting: The Missing Link Between PDE- and RBF-Based Interpolation. SSVM 2019: 67-78 - [c157]Pascal Peter, Jan Contelly, Joachim Weickert:
Compressing Audio Signals with Inpainting-Based Sparsification. SSVM 2019: 92-103 - [c156]Martin Welk, Joachim Weickert:
PDE Evolutions for M-Smoothers: From Common Myths to Robust Numerics. SSVM 2019: 236-248 - [c155]Marcelo Cárdenas, Pascal Peter, Joachim Weickert:
Sparsification Scale-Spaces. SSVM 2019: 303-314 - [i11]Leif Bergerhoff, Joachim Weickert, Yehuda Dar:
Algorithms for Piecewise Constant Signal Approximations. CoRR abs/1903.01320 (2019) - [i10]Leif Bergerhoff, Marcelo Cárdenas, Joachim Weickert, Martin Welk:
Stable Backward Diffusion Models that Minimise Convex Energies. CoRR abs/1903.03491 (2019) - [i9]Amirhossein Kardoost, Sabine Müller, Joachim Weickert, Margret Keuper:
Object Segmentation Tracking from Generic Video Cues. CoRR abs/1910.02258 (2019) - [i8]Tobias Alt, Joachim Weickert:
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising. CoRR abs/1910.09234 (2019) - [i7]Aaron Wewior, Joachim Weickert:
Variational Coupling Revisited: Simpler Models, Theoretical Connections, and Novel Applications. CoRR abs/1912.05888 (2019) - [i6]Sabine Müller, Joachim Weickert, Norbert M. Graf:
Robustness of Brain Tumor Segmentation. CoRR abs/1912.11312 (2019) - 2018
- [j90]Joachim Weickert:
Editorial. J. Math. Imaging Vis. 60(5): 633 (2018) - [j89]Joachim Weickert:
Editorial. J. Math. Imaging Vis. 60(7): 993 (2018) - [j88]Martin Welk, Joachim Weickert, Guy Gilboa:
A Discrete Theory and Efficient Algorithms for Forward-and-Backward Diffusion Filtering. J. Math. Imaging Vis. 60(9): 1399-1426 (2018) - [c154]Lena Karos, Pinak Bheed, Pascal Peter, Joachim Weickert:
Optimising Data for Exemplar-Based Inpainting. ACIVS 2018: 547-558 - [c153]Jón Arnar Tómasson, Peter Ochs, Joachim Weickert:
AFSI: Adaptive Restart for Fast Semi-Iterative Schemes for Convex Optimisation. GCPR 2018: 669-681 - 2017
- [j87]Nico Persch, Christopher Schroers, Simon Setzer, Joachim Weickert:
Physically inspired depth-from-defocus. Image Vis. Comput. 57: 114-129 (2017) - [j86]Joachim Weickert:
Editorial. J. Math. Imaging Vis. 58(1): 1 (2017) - [j85]Naoufal Amrani, Joan Serra-Sagristà, Pascal Peter, Joachim Weickert:
Diffusion-Based Inpainting for Coding Remote-Sensing Data. IEEE Geosci. Remote. Sens. Lett. 14(8): 1203-1207 (2017) - [j84]Pascal Peter, Lilli Kaufhold, Joachim Weickert:
Turning Diffusion-Based Image Colorization Into Efficient Color Compression. IEEE Trans. Image Process. 26(2): 860-869 (2017) - [c152]Leif Bergerhoff, Giovanno Marcelo Cárdenas, Joachim Weickert, Martin Welk:
Modelling Stable Backward Diffusion and Repulsive Swarms with Convex Energies and Range Constraints. EMMCVPR 2017: 409-423 - [c151]Martin Welk, Joachim Weickert:
An Efficient and Stable Two-Pixel Scheme for 2D Forward-and-Backward Diffusion. SSVM 2017: 94-106 - [c150]Robin Dirk Adam, Pascal Peter, Joachim Weickert:
Denoising by Inpainting. SSVM 2017: 121-132 - [c149]Kireeti Bodduna, Joachim Weickert:
Evaluating Data Terms for Variational Multi-frame Super-Resolution. SSVM 2017: 590-601 - [i5]Tim Dahmen, Patrick Trampert, Joachim Weickert, Philipp Slusallek:
Space-Filling Curve Indices as Acceleration Structure for Exemplar-Based Inpainting. CoRR abs/1712.06326 (2017) - 2016
- [j83]David Hafner, Joachim Weickert:
Variational Image Fusion with Optimal Local Contrast. Comput. Graph. Forum 35(1): 100-112 (2016) - [j82]Joachim Weickert, Sven Grewenig, Christopher Schroers, Andrés Bruhn:
Cyclic Schemes for PDE-Based Image Analysis. Int. J. Comput. Vis. 118(3): 275-299 (2016) - [j81]Joachim Weickert:
Editorial. J. Math. Imaging Vis. 54(2): 133-134 (2016) - [j80]Martin Schmidt, Joachim Weickert:
Morphological Counterparts of Linear Shift-Invariant Scale-Spaces. J. Math. Imaging Vis. 56(2): 352-366 (2016) - [j79]Michael Krause, Ralph Maria Alles, Bernhard Burgeth, Joachim Weickert:
Fast retinal vessel analysis. J. Real Time Image Process. 11(2): 413-422 (2016) - [j78]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: 40-53 (2016) - [c148]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: 1-13 - [c147]David Hafner, Peter Ochs, Joachim Weickert, Martin Reißel, Sven Grewenig:
FSI Schemes: Fast Semi-Iterative Solvers for PDEs and Optimisation Methods. GCPR 2016: 91-102 - [c146]Sabine Müller, Peter Ochs, Joachim Weickert, Norbert M. Graf:
Robust Interactive Multi-label Segmentation with an Advanced Edge Detector. GCPR 2016: 117-128 - [c145]Sabine Müller, Joachim Weickert, Norbert M. Graf:
Automatic brain tumor segmentation with a fast Mumford-Shah algorithm. Image Processing 2016: 97842S - [c144]Sarah Andris, Pascal Peter, Joachim Weickert:
A proof-of-concept framework for PDE-based video compression. PCS 2016: 1-5 - [i4]Christine Guillemot, Gerlind Plonka-Hoch, Thomas Pock, Joachim Weickert:
Inpainting-Based Image Compression (Dagstuhl Seminar 16462). Dagstuhl Reports 6(11): 90-107 (2016) - 2015
- [j77]Oliver Demetz, David Hafner, Joachim Weickert:
Morphologically Invariant Matching of Structures with the Complete Rank Transform. Int. J. Comput. Vis. 113(3): 220-232 (2015) - [j76]Joachim Weickert:
Editorial. J. Math. Imaging Vis. 51(3): 355-356 (2015) - [j75]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): 71-86 (2015) - [j74]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: 253-265 (2015) - [j73]Madina Boshtayeva, David Hafner, Joachim Weickert:
A focus fusion framework with anisotropic depth map smoothing. Pattern Recognit. 48(11): 3310-3323 (2015) - [c143]David Hafner, Christopher Schroers, Joachim Weickert:
Introducing Maximal Anisotropy into Second Order Coupling Models. GCPR 2015: 79-90 - [c142]Leif Bergerhoff, Joachim Weickert:
Modelling Image Processing with Discrete First-Order Swarms. NaBIC 2015: 261-270 - [c141]Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert:
From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs. PSIVT 2015: 63-74 - [c140]Martin Schmidt, Joachim Weickert:
The Morphological Equivalents of Relativistic and Alpha-Scale-Spaces. SSVM 2015: 28-39 - [c139]Giovanno Marcelo Cárdenas, Joachim Weickert, Sarah Schäffer:
A Linear Scale-Space Theory for Continuous Nonlocal Evolutions. SSVM 2015: 103-114 - [c138]Pascal Peter, Joachim Weickert:
Compressing Images with Diffusion- and Exemplar-Based Inpainting. SSVM 2015: 154-165 - [c137]David Hafner, Joachim Weickert:
Variational Exposure Fusion with Optimal Local Contrast. SSVM 2015: 425-436 - [c136]Christopher Schroers, David Hafner, Joachim Weickert:
Multiview Depth Parameterisation with Second Order Regularisation. SSVM 2015: 551-562 - [i3]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 abs/1506.04566 (2015) - 2014
- [j72]Christopher Schroers, Simon Setzer, Joachim Weickert:
A Variational Taxonomy for Surface Reconstruction from Oriented Points. Comput. Graph. Forum 33(5): 195-204 (2014) - [j71]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): 222-240 (2014) - [j70]Joachim Weickert, Selim Esedoglu:
Editorial. J. Math. Imaging Vis. 48(3): 383-384 (2014) - [j69]Pascal Gwosdek, Christian Schmaltz, Joachim Weickert, Tanja Teuber:
Fast electrostatic halftoning. J. Real Time Image Process. 9(2): 379-392 (2014) - [c135]Nico Persch, Christopher Schroers, Simon Setzer, Joachim Weickert:
Introducing More Physics into Variational Depth-from-Defocus. GCPR 2014: 15-27 - [c134]Timm Schneevoigt, Christopher Schroers, Joachim Weickert:
A Dense Pipeline for 3D Reconstruction from Image Sequences. GCPR 2014: 629-640 - [c133]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: 455-471 - [c132]Laurent Hoeltgen, Joachim Weickert:
Why Does Non-binary Mask Optimisation Work for Diffusion-Based Image Compression? EMMCVPR 2014: 85-98 - [c131]Sebastian Hoffmann, Gerlind Plonka, Joachim Weickert:
Discrete Green's Functions for Harmonic and Biharmonic Inpainting with Sparse Atoms. EMMCVPR 2014: 169-182 - [c130]Pascal Peter, Joachim Weickert, Axel Munk, Tatyana Krivobokova, Housen Li:
Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images. EMMCVPR 2014: 263-277 - [c129]Pascal Peter, Joachim Weickert:
Colour image compression with anisotropic diffusion. ICIP 2014: 4822-4826 - [c128]David Hafner, Oliver Demetz, Joachim Weickert:
Simultaneous HDR and Optic Flow Computation. ICPR 2014: 2065-2070 - 2013
- [c127]Oliver Demetz, David Hafner, Joachim Weickert:
The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures. BMVC 2013 - [c126]Alexander Hewer, Joachim Weickert, Henning Seibert, Tobias Scheffer, Stefan Diebels:
Lagrangian Strain Tensor Computation with Higher Order Variational Models. BMVC 2013 - [c125]Madina Boshtayeva, David Hafner, Joachim Weickert:
Focus Fusion with Anisotropic Depth Map Smoothing. CAIP (2) 2013: 67-74 - [c124]Joachim Weickert, Kai Uwe Hagenburg, Michael Breuß, Oliver Vogel:
Linear Osmosis Models for Visual Computing. EMMCVPR 2013: 26-39 - [c123]Laurent Hoeltgen, Simon Setzer, Joachim Weickert:
An Optimal Control Approach to Find Sparse Data for Laplace Interpolation. EMMCVPR 2013: 151-164 - [c122]Stefan Gehrig, Maxim Reznitskii, Nicolai Schneider, Uwe Franke, Joachim Weickert:
Priors for Stereo Vision under Adverse Weather Conditions. ICCV Workshops 2013: 238-245 - [c121]Christian Schmaltz, Nicolas Mach, Markus Mainberger, Joachim Weickert:
Progressive modes in PDE-based image compression. PCS 2013: 233-236 - [c120]David Hafner, Oliver Demetz, Joachim Weickert:
Why Is the Census Transform Good for Robust Optic Flow Computation? SSVM 2013: 210-221 - [c119]Sebastian Hoffmann, Markus Mainberger, Joachim Weickert, Michael Puhl:
Compression of Depth Maps with Segment-Based Homogeneous Diffusion. SSVM 2013: 319-330 - [c118]Oliver Vogel, Kai Uwe Hagenburg, Joachim Weickert, Simon Setzer:
A Fully Discrete Theory for Linear Osmosis Filtering. SSVM 2013: 368-379 - [c117]Joachim Weickert, Martin Welk, Marco Wickert:
L 2-Stable Nonstandard Finite Differences for Anisotropic Diffusion. SSVM 2013: 380-391 - [e7]Joachim Weickert, Matthias Hein, Bernt Schiele:
Pattern Recognition - 35th German Conference, GCPR 2013, Saarbrücken, Germany, September 3-6, 2013. Proceedings. Lecture Notes in Computer Science 8142, Springer 2013, ISBN 978-3-642-40601-0 [contents] - 2012
- [j68]