World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
20473
World Ranking
6647
National Ranking
316

Overview

Dietmar Saupe is affiliated with the University of Konstanz in Germany and specializes in computer science with a strong focus on computer vision and pattern recognition. Their research encompasses related subfields such as media technology, cognitive neuroscience, neurology, and dermatology.

The key topics of Dietmar Saupe's work include:

  • Image and Video Quality Assessment
  • Visual Attention and Saliency Detection
  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Advanced Data Compression Techniques

Recent papers authored or co-authored by Dietmar Saupe include:

  • TranSalNet: Towards perceptually relevant visual saliency prediction, 2022, Neurocomputing
  • Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference, 2022, IEEE Transactions on Circuits and Systems for Video Technology
  • Subjective Image Quality Assessment With Boosted Triplet Comparisons, 2021, IEEE Access
  • DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning, 2020, arXiv (Cornell University)
  • Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition, 2020, Sensors

The most frequent publication venues for their work include:

  • arXiv (Cornell University), 16 publications
  • IEEE Access, 3 publications
  • IEEE Transactions on Circuits and Systems for Video Technology, 2 publications
  • Quality and User Experience, 2 publications
  • Neurocomputing, 1 publication

Dietmar Saupe collaborates regularly with several co-authors, including Vlad Hosu, Hanhe Lin, Mohsen Jenadeleh, Oliver Wiedemann, and Shaolin Su. The frequency of collaboration with these colleagues ranges from 5 to 14 joint works, indicating ongoing research partnerships in their field.

Best Publications

  • Chaos and Fractals: New Frontiers of Science

    Heinz-Otto Peitgen;Hartmut Jürgens;Dietmar Saupe

  • Chaos and Fractals

    Heinz-Otto Peitgen;Hartmut Jurgens;Dietmar Saupe

  • The science of fractal images

    Michael F. Barnsley;Robert L. Devaney;Benoit B. Mandelbrot;Heinz-Otto Peitgen

  • KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment

    Vlad Hosu;Hanhe Lin;Tamas Sziranyi;Dietmar Saupe

  • 3D Model Retrieval with Spherical Harmonics and Moments

    Dietmar Saupe;Dejan V. Vranic

  • Algorithms for random fractals

    Dietmar Saupe

  • Feature-based similarity search in 3D object databases

    Benjamin Bustos;Daniel A. Keim;Dietmar Saupe;Tobias Schreck

  • Tools for 3D-object retrieval: Karhunen-Loeve transform and spherical harmonics

    D.V. Vranic;D. Saupe;J. Richter

  • KADID-10k: A Large-scale Artificially Distorted IQA Database

    Hanhe Lin;Vlad Hosu;Dietmar Saupe

  • The Konstanz natural video database (KoNViD-1k)

    Vlad Hosu;Franz Hahn;Mohsen Jenadeleh;Hanhe Lin

  • 3D Shape Descriptor Based on 3D Fourier Transform

    Dejan Vranic;Dietmar Saupe

  • Fractals for the Classroom

    Heinz-Otto Peitgen;Hartmut Jürgens;Dietmar Saupe

  • Fractals for the Classroom: Part One Introduction to Fractals and Chaos

    Heintz-Otto Peitgen;Hartmut Jürgens;Dietmar Saupe

  • Accelerating fractal image compression by multi-dimensional nearest neighbor search

    D. Saupe

  • Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features

    Vlad Hosu;Bastian Goldlucke;Dietmar Saupe

  • Description of 3D-shape using a complex function on the sphere

    D.V. Vranic;D. Saupe

  • Content-Based 3D Object Retrieval

    B. Bustos;D. Keim;D. Saupe;T. Schreck

  • Compression of point-based 3D models by shape-adaptive wavelet coding of multi-height fields

    Tilo Ochotta;Dietmar Saupe

  • Spectral-Driven Isometry-Invariant Matching of 3D Shapes

    Mauro R. Ruggeri;Giuseppe Patanè;Michela Spagnuolo;Dietmar Saupe

  • Cayley’s problem and Julia sets

    H. O. Peitgen;D. Saupe;F. v. Haeseler

  • Introduction to fractals and chaos

    Heinz-Otto Peitgen;H. Jürgens;Dietmar Saupe

Frequent Co-Authors

Heinz-Otto Peitgen
Heinz-Otto Peitgen University of Bremen
Hannes Hartenstein
Hannes Hartenstein Karlsruhe Institute of Technology
Daniel A. Keim
Daniel A. Keim University of Konstanz
Tobias Schreck
Tobias Schreck Graz University of Technology
Shujun Li
Shujun Li University of Kent
Oliver Deussen
Oliver Deussen University of Konstanz
Sarang S. Dalal
Sarang S. Dalal Aarhus University
Vladimir Stankovic
Vladimir Stankovic University of Strathclyde
Andrés Bruhn
Andrés Bruhn University of Stuttgart
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California

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