Joachim Weickert

Joachim Weickert

Universität des Saarlandes

H-index: 78

Europe-Germany

About Joachim Weickert

Joachim Weickert, With an exceptional h-index of 78 and a recent h-index of 31 (since 2020), a distinguished researcher at Universität des Saarlandes, specializes in the field of Image Analysis, Partial Differential Equations, Variational Methods, Data Compression, Numerical Mathematics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient Parallel Algorithms for Inpainting-Based Representations of 4K Images--Part I: Homogeneous Diffusion Inpainting

Check for updates Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting

Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations

Connections between numerical algorithms for PDEs and neural networks

Optimising different feature types for inpainting-based image representations

Efficient neural generation of 4k masks for homogeneous diffusion inpainting

Deep spatial and tonal data optimisation for homogeneous diffusion inpainting

Diffusion–Shock Inpainting

Joachim Weickert Information

University

Position

Professor of Mathematics and Computer Science

Citations(all)

32457

Citations(since 2020)

5934

Cited By

28750

hIndex(all)

78

hIndex(since 2020)

31

i10Index(all)

259

i10Index(since 2020)

110

Email

University Profile Page

Universität des Saarlandes

Google Scholar

View Google Scholar Profile

Joachim Weickert Skills & Research Interests

Image Analysis

Partial Differential Equations

Variational Methods

Data Compression

Numerical Mathematics

Top articles of Joachim Weickert

Title

Journal

Author(s)

Publication Date

Efficient Parallel Algorithms for Inpainting-Based Representations of 4K Images--Part I: Homogeneous Diffusion Inpainting

arXiv preprint arXiv:2401.06744

Niklas Kämper

Vassillen Chizhov

Joachim Weickert

2024/1/12

Check for updates Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting

Scale Space and Variational Methods in Computer Vision: 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21–25, 2023, Proceedings

Karl Schrader

Pascal Peter

Niklas Kämper

Joachim Weickert

2023/5/9

Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations

arXiv preprint arXiv:2309.05575

Karl Schrader

Joachim Weickert

Michael Krause

2023/9/11

Connections between numerical algorithms for PDEs and neural networks

Journal of Mathematical Imaging and Vision

Tobias Alt

Karl Schrader

Matthias Augustin

Pascal Peter

Joachim Weickert

2023/1

Optimising different feature types for inpainting-based image representations

Ferdinand Jost

Vassillen Chizhov

Joachim Weickert

2023/6/4

Efficient neural generation of 4k masks for homogeneous diffusion inpainting

Karl Schrader

Pascal Peter

Niklas Kämper

Joachim Weickert

2023/5/10

Deep spatial and tonal data optimisation for homogeneous diffusion inpainting

Pattern Analysis and Applications

Pascal Peter

Karl Schrader

Tobias Alt

Joachim Weickert

2023/11

Diffusion–Shock Inpainting

Kristina Schaefer

Joachim Weickert

2023/5/10

Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields

Tom Fischer

Pascal Peter

Joachim Weickert

Eddy Ilg

2023/10/13

Image Blending with Osmosis

Paul Bungert

Pascal Peter

Joachim Weickert

2023/5/10

Gaining Insights into Denoising by Inpainting

arXiv preprint arXiv:2309.13486

Daniel Gaa

Vassillen Chizhov

Pascal Peter

Joachim Weickert

Robin Dirk Adam

2023/9/23

Learning sparse masks for diffusion-based image inpainting

Tobias Alt

Pascal Peter

Joachim Weickert

2022/4/26

Stabilised Inverse Flowline Evolution for Anisotropic Image Sharpening

Kristina Schaefer

Joachim Weickert

2022/9/11

Designing rotationally invariant neural networks from PDEs and variational methods

Research in the Mathematical Sciences

Tobias Alt

Karl Schrader

Joachim Weickert

Pascal Peter

Matthias Augustin

2022/9

Domain decomposition algorithms for real-time homogeneous diffusion inpainting in 4K

Niklas Kämper

Joachim Weickert

2022/5/23

Object segmentation tracking from generic video cues

Amirhossein Kardoost

Sabine Müller

Joachim Weickert

Margret Keuper

2021/1/10

Translating numerical concepts for PDEs into neural architectures

Tobias Alt

Pascal Peter

Joachim Weickert

Karl Schrader

2021/4/30

A systematic evaluation of coding strategies for sparse binary images

Signal Processing: Image Communication

Rahul Mohideen Kaja Mohideen

Pascal Peter

Joachim Weickert

2021/11/1

Sparse inpainting with smoothed particle hydrodynamics

SIAM Journal on Imaging Sciences

Viktor Daropoulos

Matthias Augustin

Joachim Weickert

2021

Multi-frame super-resolution from noisy data

Kireeti Bodduna

Joachim Weickert

Marcelo Cárdenas

2021/4/30

See List of Professors in Joachim Weickert University(Universität des Saarlandes)

Co-Authors

H-index: 117
Daniel Cremers

Daniel Cremers

Technische Universität München

H-index: 101
Thomas Brox

Thomas Brox

Albert-Ludwigs-Universität Freiburg

H-index: 100
Wiro Niessen

Wiro Niessen

Erasmus Universiteit Rotterdam

H-index: 55
Christoph Schnörr

Christoph Schnörr

Ruprecht-Karls-Universität Heidelberg

H-index: 53
Bodo Rosenhahn

Bodo Rosenhahn

Leibniz Universität Hannover

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