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Joachim Weickert

Joachim Weickert

Award Badge
Mathematics
Germany
2026
Award Badge
Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
78
Citations
30868
World Ranking
1176
National Ranking
45

Mathematics

D-Index
76
Citations
29346
World Ranking
190
National Ranking
8

Research.com Recognitions

  • 2026 - Research.com Mathematics in Germany Leader Award
  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2025 - Research.com Mathematics in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Mathematics in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award
  • 2011 - Member of Academia Europaea

Overview

Joachim Weickert is affiliated with Saarland University in Germany and specializes in the field of Computer Science, with a focus on Computer Vision and Pattern Recognition. Their body of work spans across several subfields including Computational Mechanics, Statistical and Nonlinear Physics, Artificial Intelligence, and Computer Graphics and Computer-Aided Design.

The primary research topics addressed by Weickert include Image and Signal Denoising Methods, Advanced Image Processing Techniques, Generative Adversarial Networks and Image Synthesis, Model Reduction and Neural Networks, Advanced Numerical Analysis Techniques, Neural Networks and Applications, as well as Computer Graphics and Visualization Techniques.

Frequent collaborators in their research have been Pascal Peter, Tobias Alt, Karl Schrader, Niklas Kämper, and Vassillen Chizhov.

Weickert has published papers extensively in a variety of scholarly venues. Notable publication venues include:

  • arXiv (Cornell University)
  • Journal of Mathematical Imaging and Vision
  • Lecture notes in computer science
  • SIAM Journal on Imaging Sciences
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Recent publications by Weickert include:

  • "Connections Between Numerical Algorithms for PDEs and Neural Networks", 2022, Journal of Mathematical Imaging and Vision
  • "Domain Decomposition Algorithms for Real-Time Homogeneous Diffusion Inpainting in 4K", 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "Translating Diffusion, Wavelets, and Regularisation into Residual Networks", 2020, arXiv (Cornell University)
  • "Removing multi-frame Gaussian noise by combining patch-based filters with optical flow", 2021, Journal of Electronic Imaging
  • "Deep spatial and tonal data optimisation for homogeneous diffusion inpainting", 2023, Pattern Analysis and Applications

In 2011, Joachim Weickert was recognized as a Member of Academia Europaea.

Best Publications

  • High Accuracy Optical Flow Estimation Based on a Theory for Warping

    Thomas Brox;Andr ´ es Bruhn;Nils Papenberg;Joachim Weickert

  • Anisotropic diffusion in image processing

    Joachim Weickert

  • Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods

    Andrés Bruhn;Joachim Weickert;Christoph Schnörr

  • Efficient and reliable schemes for nonlinear diffusion filtering

    J. Weickert;B.M.T.H. Romeny;M.A. Viergever

  • Coherence-Enhancing Diffusion Filtering

    Joachim Weickert

  • A Review of Nonlinear Diffusion Filtering

    Joachim Weickert

  • Highly accurate optic flow computation with theoretically justified warping

    Nils Papenberg;Andrés Bruhn;Thomas Brox;Stephan Didas

  • Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional

    Daniel Cremers;Florian Tischhäuser;Joachim Weickert;Christoph Schnörr

  • Theoretical foundations of anisotropic diffusion in image processing

    J. Weickert

  • Reliable Estimation of Dense Optical Flow Fields with Large Displacements

    Luis Alvarez;Joachim Weickert;Javier Sánchez

  • A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion

    Joachim Weickert;Christoph Schnörr

  • Scale-space theories in computer vision

    Mads Nielsen;Peter Johansen;Ole Fogh Olsen;Joachim Weickert

  • Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint

    Joachim Weickert;Christoph Schnörr

  • Nonlinear structure tensors

    Thomas Brox;Joachim Weickert;Bernhard Burgeth;Pavel Mrázek

  • Coherence-enhancing diffusion of colour images

    Joachim Weickert

  • A Scheme for Coherence-Enhancing Diffusion Filtering with Optimized Rotation Invariance

    Joachim Weickert;Hanno Scharr

  • On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs

    Gabriele Steidl;Joachim Weickert;Thomas Brox;Pavel Mrázek

  • Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space BasedApproach.

    Luis Álvarez;Rachid Deriche;Javier Sánchez Pérez;Joachim Weickert

  • Optic Flow in Harmony

    Henning Zimmer;Andrés Bruhn;Joachim Weickert

  • Linear Scale-Space has First been Proposed in Japan

    Joachim Weickert;Seiji Ishikawa;Atsushi Imiya

Frequent Co-Authors

Andrés Bruhn
Andrés Bruhn University of Stuttgart
Thomas Brox
Thomas Brox University of Freiburg
Christoph Schnörr
Christoph Schnörr Heidelberg University
Bodo Rosenhahn
Bodo Rosenhahn University of Hannover
Gabriele Steidl
Gabriele Steidl Technical University of Berlin
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Max A. Viergever
Max A. Viergever Utrecht University
Wiro J. Niessen
Wiro J. Niessen Erasmus University Rotterdam
Daniel Cremers
Daniel Cremers Technical University of Munich
Gerald Sommer
Gerald Sommer Kiel University

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