World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Austria
2026

D-Index & Metrics

Computer Science

D-Index
100
Citations
50969
World Ranking
364
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Computer Science in Austria Leader Award
  • 2025 - Research.com Computer Science in Austria Leader Award
  • 2023 - Research.com Computer Science in Austria Leader Award
  • 2022 - Research.com Computer Science in Austria Leader Award
  • 2012 - Member of Academia Europaea

Overview

Horst Bischof is affiliated with Graz University of Technology in Austria. Their research spans multiple domains within computer science and engineering, with a particular focus on computer vision and pattern recognition.

The main fields of study for Bischof include:

  • Computer Science
  • Engineering

Within these fields, Bischof's work covers several subfields, notably:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Aerospace Engineering
  • Radiology, Nuclear Medicine and Imaging

The scientist's research addresses specific topics such as:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Robotics and Sensor-Based Localization
  • Advanced Vision and Imaging
  • Video Surveillance and Tracking Methods

Recent published papers by Bischof include:

  • "The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Automatic Detection of Periapical Osteolytic Lesions on Cone-beam Computed Tomography Using Deep Convolutional Neuronal Networks," 2022, Journal of Endodontics
  • "OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "AIRA-DA: Adversarial Image Reconstruction Alignments for Unsupervised Domain Adaptive Object Detection," 2023, IEEE Robotics and Automation Letters

Bischof has frequently collaborated with several coauthors, including:

  • Horst Possegger
  • Andrea Vedaldi
  • Thomas Brox
  • Jan-Michael Frahm
  • M. Jehanzeb Mirza

Bischof's publications have appeared prominently in venues such as:

  • arXiv (Cornell University)
  • TUGraz OPEN Library (Graz University of Technology)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Journal of Endodontics

The scientist has also significantly contributed to book publications, primarily through Springer Science+Business Media. Notably, Bischof contributed to multiple editions of "Computer Vision - ECCV 2020" which have been cited numerous times across distinct chapters or versions.

In recognition of professional achievements, Bischof was named a Member of Academia Europaea in 2012.

Best Publications

  • A duality based approach for realtime TV-L 1 optical flow

    C. Zach;T. Pock;H. Bischof

  • Large scale metric learning from equivalence constraints

    Martin Kostinger;Martin Hirzer;Paul Wohlhart;Peter M. Roth

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • Real-time tracking via on-line boosting

    Helmut Grabner;Michael Grabner;Horst Bischof

  • Semi-supervised On-Line Boosting for Robust Tracking

    Helmut Grabner;Christian Leistner;Horst Bischof

  • On-line Boosting and Vision

    H. Grabner;H. Bischof

  • Computer Vision -- Eccv 2006

    Aleš Leonardis;Horst Bischof;Axel Pinz

  • Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

    T. Heimann;B. van Ginneken;M.A. Styner;Y. Arzhaeva

  • Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization

    Martin Kostinger;Paul Wohlhart;Peter M. Roth;Horst Bischof

  • Person re-identification by descriptive and discriminative classification

    Martin Hirzer;Csaba Beleznai;Peter M. Roth;Horst Bischof

  • Multispectral classification of Landsat-images using neural networks

    H. Bischof;W. Schneider;A.J. Pinz

  • Hough-based tracking of non-rigid objects

    M. Godec;P. M. Roth;H. Bischof

  • Fast and accurate image upscaling with super-resolution forests

    Samuel Schulter;Christian Leistner;Horst Bischof

  • On-line Random Forests

    Amir Saffari;Christian Leistner;Jakob Santner;Martin Godec

  • Mahalanobis Distance Learning for Person Re-Identification

    Peter M. Roth;Martin Hirzer;Martin Köstinger;Csaba Beleznai

  • From structure-from-motion point clouds to fast location recognition

    Arnold Irschara;Christopher Zach;Jan-Michael Frahm;Horst Bischof

  • Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation

    David Ferstl;Christian Reinbacher;Rene Ranftl;Matthias Ruether

  • An Improved Algorithm for TV-L1 Optical Flow

    Andreas Wedel;Thomas Pock;Christopher Zach;Horst Bischof

  • Brain–Computer Communication: Motivation, Aim, and Impact of Exploring a Virtual Apartment

    R. Leeb;F. Lee;C. Keinrath;R. Scherer

  • Relaxed pairwise learned metric for person re-identification

    Martin Hirzer;Peter M. Roth;Martin Köstinger;Horst Bischof

  • The Visual Object Tracking VOT2014 challenge results

    Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas

Frequent Co-Authors

Thomas Pock
Thomas Pock Graz University of Technology
Ales Leonardis
Ales Leonardis University of Birmingham
Martin Urschler
Martin Urschler University of Auckland
Friedrich Fraundorfer
Friedrich Fraundorfer Graz University of Technology
Georg Langs
Georg Langs Medical University of Vienna
Axel Pinz
Axel Pinz Graz University of Technology
Christopher Zach
Christopher Zach Chalmers University of Technology
Daniel Cremers
Daniel Cremers Technical University of Munich
Gert Pfurtscheller
Gert Pfurtscheller Graz University of Technology
Peter Brunner
Peter Brunner Washington University in St. Louis

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing computer science in the USA opens up a range of flexible and accessible online degree options, catering to different career goals and schedules. Many students now look for cheap phd programs online that offer high-level specialization without the hefty price tag. These programs are ideal for advancing research careers or stepping into academic roles.

For professionals in education, there are fastest online edd programs that focus on leadership, often completed in less time for quicker career progression. If your goal is to start working sooner, consider an accelerated associate degree in fields like IT or business, which can often be finished in six months.

Affordability is a key concern for many students. If you're considering a business or management pathway, you can explore an online business degree with financial aid, making it easier to balance educational goals and financial realities. These flexible online degrees offer accessible routes to in-demand tech and business careers.

Best Scientists Citing Horst Bischof

Trending Scientists