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Computer Science

D-Index
47
Citations
18701
World Ranking
6298
National Ranking
291

Overview

Volker Blanz is affiliated with the University of Siegen in Germany. Their research primarily focuses on areas within computer science, with an emphasis on computer vision and pattern recognition. The scholar's work intersects across subfields including computational mechanics and artificial intelligence.

The main topics investigated by Volker Blanz cover several domains related to facial analysis and advanced computational techniques. These include:

  • Face recognition and analysis
  • Face and expression recognition
  • 3D shape modeling and analysis
  • Advanced neural network applications
  • Domain adaptation and few-shot learning
  • Advanced image and video retrieval techniques
  • Generative adversarial networks and image synthesis

Volker Blanz has published in notable scientific venues, particularly in:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics

The scientist's recent papers include the following contributions:

  • 3D Morphable Face Models-Past, Present, and Future, 2020, ACM Transactions on Graphics
  • Robust Semantic Segmentation with Superpixel-Mix, 2021, arXiv (Cornell University)
  • Deep Ranking with Adaptive Margin Triplet Loss, 2021, arXiv (Cornell University)
  • Learning a Discriminant Latent Space with Neural Discriminant Analysis, 2021, arXiv (Cornell University)
  • Vision At Night: Exploring Biologically Inspired Preprocessing For Improved Robustness Via Color And Contrast Transformations, 2025, arXiv (Cornell University)

Frequent collaborators of Volker Blanz include colleagues with multiple joint publications. These coauthors are:

  • Mai Lan Ha
  • Thomas Vetter
  • Gianni Franchi
  • Bernhard Egger
  • William A. P. Smith

Best Publications

  • A morphable model for the synthesis of 3D faces

    Volker Blanz;Thomas Vetter

  • Face recognition based on fitting a 3D morphable model

    V. Blanz;T. Vetter

  • Prototype-referenced shape encoding revealed by high-level aftereffects

    David A. Leopold;Alice J. O'Toole;Thomas Vetter;Volker Blanz

  • Reanimating Faces in Images and Video

    Volker Blanz;Curzio Basso;Tomaso A. Poggio;Thomas Vetter

  • Face identification across different poses and illuminations with a 3D morphable model

    V. Blanz;S. Romdhani;T. Vetter

  • Component-Based Face recognition with 3D Morphable Models

    Benjamin Weyrauch;Jennifer Huang;Bernd Heisele;Volker Blanz

  • Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions

    Sami Romdhani;Volker Blanz;Thomas Vetter

  • Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models

    Volker Blanz;Volker Blanz;Bernhard Schölkopf;Bernhard Schölkopf;Heinrich H. Bülthoff;Chris Burges

  • 3D Morphable Face Models—Past, Present, and Future

    Bernhard Egger;William A. P. Smith;Ayush Tewari;Stefanie Wuhrer

  • Component-Based Face Recognition with 3D Morphable Models

    B. Weyrauch;B. Heisele;J. Huang;V. Blanz

  • What object attributes determine canonical views

    Blanz;MJ Tarr;HH Bülthoff

  • Face recognition based on frontal views generated from non-frontal images

    V. Blanz;P. Grother;P.J. Phillips;T. Vetter

  • Exchanging Faces in Images

    Volker Blanz;Kristina Scherbaum;Thomas Vetter;Hans-Peter Seidel

  • Component-based face recognition with 3D morphable models

    Jennifer Huang;Bernd Heisele;Volker Blanz

  • A statistical method for robust 3D surface reconstruction from sparse data

    V. Blanz;A. Mehl;T. Vetter;H.-P. Seidel

  • Method and apparatus for the processing of images

    Volker Blanz;Thomas Vetter

  • Perceptual evaluation of tone mapping operators with real-world scenes

    Akiko Yoshida;Volker Blanz;Karol Myszkowski;Hans-Peter Seidel

  • Evaluation of a shape-based model of human face discrimination using FMRI and behavioral techniques.

    Xiong Jiang;Ezra Rosen;Thomas Zeffiro;John VanMeter

  • 3D shape and 2D surface textures of human faces: the role of “averages” in attractiveness and age

    Alice J. O'Toole;Theodore J. Price;Thomas Vetter;James C. Bartlett

  • To What Extent Do Unique Parts Influence Recognition Across Changes in Viewpoint

    Michael J. Tarr;Heinrich H. Bülthoff;Marion Zabinski;Volker Blanz

  • A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data

    Volker Blanz;Albert Mehl;Thomas Vetter;Hans-Peter Seidel

  • Comparison of view { based object recognition algorithms using realistic 3D models

    V Blanz;B Scholkopf;H Bultho;C Burges

Frequent Co-Authors

Thomas Vetter
Thomas Vetter University of Basel
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Alice J. O'Toole
Alice J. O'Toole The University of Texas at Dallas
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Bruno Rossion
Bruno Rossion University of Lorraine
Demetri Terzopoulos
Demetri Terzopoulos University of California, Los Angeles
Heinrich H. Bülthoff
Heinrich H. Bülthoff Max Planck Institute for Biological Cybernetics
Erik Learned-Miller
Erik Learned-Miller University of Massachusetts Amherst
Maximilian Riesenhuber
Maximilian Riesenhuber Georgetown University Medical Center
Hendrik P. A. Lensch
Hendrik P. A. Lensch University of Tübingen

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