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Computer Science

D-Index
35
Citations
10661
World Ranking
11436
National Ranking
569

Overview

Andrés Bruhn is affiliated with the University of Stuttgart in Germany. Their research primarily falls under the broad field of Computer Science, with a specific focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, and Media Technology.

Their work encompasses a range of topics that include:

  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Adversarial Robustness in Machine Learning
  • Retinal Imaging and Analysis
  • Anomaly Detection Techniques and Applications
  • Advanced Image and Video Retrieval Techniques

Andrés Bruhn has contributed extensively to various publication venues. The most frequent venues for their publications include:

  • arXiv (Cornell University)
  • Journal of Mathematical Imaging and Vision
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • International Journal of Computer Vision
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Among their recent papers, some notable titles are:

  • "Multi-Scale Raft: Combining Hierarchical Concepts for Learning-Based Optical Flow Estimation," 2022, published in the 2022 IEEE International Conference on Image Processing (ICIP)
  • "M-FUSE: Multi-frame Fusion for Scene Flow Estimation," 2023, presented at the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Visual Analytics and Annotation of Pervasive Eye Tracking Video," 2020, published in the ACM Symposium on Eye Tracking Research and Applications
  • "MS-RAFT+: High Resolution Multi-Scale RAFT," 2023, published in the International Journal of Computer Vision
  • "Subjective annotation for a frame interpolation benchmark using artefact amplification," 2020, published in Quality and User Experience

Their collaborative efforts include frequent co-authors such as:

  • Jenny Schmalfuß
  • Lukas Mehl
  • Azin Jahedi
  • Marc Rivinius
  • Maximilian Luz

Best Publications

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

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

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

    Andrés Bruhn;Joachim Weickert;Christoph Schnörr

  • Highly accurate optic flow computation with theoretically justified warping

    Nils Papenberg;Andrés Bruhn;Thomas Brox;Stephan Didas

  • Optic Flow in Harmony

    Henning Zimmer;Andrés Bruhn;Joachim Weickert

  • Variational optical flow computation in real time

    A. Bruhn;J. Weickert;C. Feddern;T. Kohlberger

  • A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods

    Andrés Bruhn;Joachim Weickert;Timo Kohlberger;Christoph Schnörr

  • Freehand HDR Imaging of Moving Scenes with Simultaneous Resolution Enhancement

    Henning Zimmer;Andrés Bruhn;Joachim Weickert

  • Image Compression with Anisotropic Diffusion

    Irena Galić;Joachim Weickert;Martin Welk;Andrés Bruhn

  • Towards ultimate motion estimation: combining highest accuracy with real-time performance

    A. Bruhn;J. Weickert

  • Lightweight binocular facial performance capture under uncontrolled lighting

    Levi Valgaerts;Chenglei Wu;Andrés Bruhn;Hans-Peter Seidel

  • Complementary Optic Flow

    Henning Zimmer;Andrés Bruhn;Joachim Weickert;Levi Valgaerts

  • Illumination-robust variational optical flow with photometric invariants

    Yana Mileva;Andrés Bruhn;Joachim Weickert

  • Variational motion segmentation with level sets

    Thomas Brox;Andrés Bruhn;Joachim Weickert

  • A survey on variational optic flow methods for small displacements

    Joachim Weickert;Andrés Bruhn;Thomas Brox;Nils Papenberg

  • From box filtering to fast explicit diffusion

    Sven Grewenig;Joachim Weickert;Andrés Bruhn

  • Modeling temporal coherence for optical flow

    Sebastian Volz;Andres Bruhn;Levi Valgaerts;Henning Zimmer

  • Optic flow goes stereo: a variational method for estimating discontinuity-preserving dense disparity maps

    Natalia Slesareva;Andrés Bruhn;Joachim Weickert

  • Real-Time Optic Flow Computation with Variational Methods

    Andrés Bruhn;Joachim Weickert;Christian Feddern;Timo Kohlberger

  • ON ROBUST ESTIMATION AND SMOOTHING WITH SPATIAL AND TONAL KERNELS

    Pavel Mrazek;Joachim Weickert;Andres Bruhn

  • Towards PDE-Based image compression

    Irena Galić;Joachim Weickert;Martin Welk;Andrés Bruhn

  • Combining the Advantages of Local and Global Optic Flow Methods

    Andrés Bruhn;Joachim Weickert;Christoph Schnörr

Frequent Co-Authors

Joachim Weickert
Joachim Weickert Saarland University
Christoph Schnörr
Christoph Schnörr Heidelberg University
Thomas Brox
Thomas Brox University of Freiburg
Dietmar Saupe
Dietmar Saupe University of Konstanz
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Thomas Pock
Thomas Pock Graz University of Technology
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Daniel Weiskopf
Daniel Weiskopf University of Stuttgart
Xue-Cheng Tai
Xue-Cheng Tai NORCE Research
Alexander Belyaev
Alexander Belyaev University of Southampton

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