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Computer Science

D-Index
50
Citations
8802
World Ranking
5670
National Ranking
41

Overview

Tobias Schreck is affiliated with Graz University of Technology in Austria. Their research primarily spans the field of Computer Science, with a strong focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics, and Geology.

Their main research topics include:

  • Data Visualization and Analytics
  • Image Processing and 3D Reconstruction
  • Time Series Analysis and Forecasting
  • Video Analysis and Summarization
  • Complex Network Analysis Techniques
  • 3D Surveying and Cultural Heritage
  • Image Retrieval and Classification Techniques

Tobias Schreck has contributed to numerous publications, with recent papers including:

  • "Immersive analysis of user motion in VR applications," 2020, The Visual Computer
  • "The Role of Interactive Visualization in Fostering Trust in AI," 2021, IEEE Computer Graphics and Applications
  • "HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning," 2022, IEEE Transactions on Visualization and Computer Graphics
  • "IRVINE: A Design Study on Analyzing Correlation Patterns of Electrical Engines," 2021, IEEE Transactions on Visualization and Computer Graphics
  • "Guide Me in Analysis: A Framework for Guidance Designers," 2020, Computer Graphics Forum

Frequent co-authors of Tobias Schreck include:

  • Reinhold Preiner
  • Stefan Lengauer
  • Daniel Atzberger
  • Willy Scheibel
  • Tim Cech

The most common venues for Tobias Schreck's publications are:

  • IEEE Transactions on Visualization and Computer Graphics
  • arXiv (Cornell University)
  • Computer Graphics Forum
  • IEEE Computer Graphics and Applications
  • Computers & Graphics

Best Publications

  • Visual analysis of large graphs : state-of-the-art and future research challenges

    T. von Landesberger;A. Kuijper;A. Kuijper;T. Schreck;J. Kohlhammer

  • Feature-based similarity search in 3D object databases

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

  • Matrix reordering methods for table and network visualization

    Michael Behrisch;Benjamin Bach;Nathalie Henry Riche;Tobias Schreck

  • Visual analytics for the big data era — A comparative review of state-of-the-art commercial systems

    Leishi Zhang;Andreas Stoffel;Michael Behrisch;Sebastian Mittelstadt

  • Visual cluster analysis of trajectory data with interactive Kohonen maps

    Tobias Schreck;Jürgen Bernard;Tatiana Von Landesberger;Jörn Kohlhammer

  • Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns

    G. Andrienko;N. Andrienko;S. Bremm;T. Schreck

  • Bring It to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis

    Manuel Stein;Halldor Janetzko;Andreas Lamprecht;Thorsten Breitkreutz

  • Content-Based 3D Object Retrieval

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

  • Overview of the ShARe/CLEF eHealth evaluation lab 2014

    Liadh Kelly;Lorraine Goeuriot;Hanna Suominen;Tobias Schreck

  • A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries

    Bo Li;Yijuan Lu;Chunyuan Li;Afzal Godil

  • A comparison of methods for sketch-based 3D shape retrieval

    Bo Li;Bo Li;Yijuan Lu;Afzal Godil;Tobias Schreck

  • Quality Metrics for Information Visualization

    Michael Behrisch;Michael Blumenschein;Nam Wook Kim;Lin Shao

  • Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours

    Sang Min Yoon;Maximilian Scherer;Tobias Schreck;Arjan Kuijper

  • Subspace search and visualization to make sense of alternative clusterings in high-dimensional data

    Andrada Tatu;Fabian Maas;Ines Farber;Enrico Bertini

  • Approximate Symmetry Detection in Partial 3D Meshes

    Ivan Sipiran;Robert Gregor;Tobias Schreck

  • Interactive visual comparison of multiple trees

    Sebastian Bremm;Tatiana von Landesberger;Martin Hess;Tobias Schreck

  • Visual Analysis of Social Media Data

    T. Schreck;D. Keim

  • MotionExplorer: Exploratory Search in Human Motion Capture Data Based on Hierarchical Aggregation

    Jurgen Bernard;Nils Wilhelm;Bjorn Kruger;Thorsten May

  • Feature-driven visual analytics of soccer data

    Halld'or Janetzko;Dominik Sacha;Manuel Stein;Tobias Schreck

  • Multi-resolution techniques for visual exploration of large time-series data

    Ming Hao;Umeshwar Dayal;Daniel Keim;Tobias Schreck

Frequent Co-Authors

Daniel A. Keim
Daniel A. Keim University of Konstanz
Arjan Kuijper
Arjan Kuijper Fraunhofer Society
Ryutarou Ohbuchi
Ryutarou Ohbuchi University of Yamanashi
Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Natalia Andrienko
Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Dietmar Saupe
Dietmar Saupe University of Konstanz
Ioannis Pratikakis
Ioannis Pratikakis Democritus University of Thrace
Remco C. Veltkamp
Remco C. Veltkamp Utrecht University
Andreas Holzinger
Andreas Holzinger BOKU University
Hanspeter Pfister
Hanspeter Pfister Harvard University

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