Jan-Michael Frahm is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research outputs are primarily concentrated in the field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition, which accounts for the majority of their publications. Additional areas of specialization include Aerospace Engineering, Artificial Intelligence, Media Technology, and Human-Computer Interaction.
The scientist's main topics of work encompass:
Jan-Michael Frahm's recent papers demonstrate a range of applications within medical imaging and computer vision. Selected recent publications include:
Collaborations have taken place with several frequent co-authors, highlighting collaborative research efforts. These co-authors include:
Jan-Michael Frahm has also contributed extensively to book publications with Springer Science+Business Media, particularly in volumes related to Computer Vision at the ECCV 2020 conference. This involvement includes multiple chapters or contributions within the same titled book series.
The scientist's work has been published frequently in venues such as:
Johannes L. Schonberger;Jan-Michael Frahm
Johannes L. Schönberger;Enliang Zheng;Jan Michael Frahm;Marc Pollefeys;Marc Pollefeys
M. Pollefeys;D. Nistér;J. M. Frahm;A. Akbarzadeh
Jan-Michael Frahm;Pierre Fite-Georgel;David Gallup;Tim Johnson
R. Raguram;O. Chum;M. Pollefeys;J. Matas
Rahul Raguram;Jan-Michael Frahm;Marc Pollefeys
Arnold Irschara;Christopher Zach;Jan-Michael Frahm;Horst Bischof
Sudipta N. Sinha;Jan-Michael Frahm;Marc Pollefeys;Yakup Genc
Peter Hedman;Julien Philip;True Price;Jan-Michael Frahm
Jared Heinly;Enrique Dunn;Jan-Michael Frahm
P. Merrell;A. Akbarzadeh;Liang Wang;P. Mordohai
D. Gallup;J.-M. Frahm;P. Mordohai;Qingxiong Yang
Xiaowei Li;Changchang Wu;Christopher Zach;Svetlana Lazebnik
David Gallup;Jan-Michael Frahm;Marc Pollefeys
Changchang Wu;B. Clipp;Xiaowei Li;J.-M. Frahm
Sudipta N. Sinha;Jan-Michael Frahm;Marc Pollefeys;Yakup Genc
A. Akbarzadeh;J.-M. Frahm;P. Mordohai;B. Clipp
D. Gallup;J.-M. Frahm;P. Mordohai;M. Pollefeys
Jared Heinly;Johannes L. Schonberger;Enrique Dunn;Jan-Michael Frahm
R.K. Kumar;A. Ilie;J-M. Frahm;M. Pollefeys
If you think any of the details on this page are incorrect, let us know.
Exploring computer science pathways in the USA opens doors to a range of flexible learning options. Many students consider 1 year associate degree programs online to quickly gain foundational skills for entry-level tech roles, while others pursue bachelor's or master's degrees for advanced opportunities.
Affordability is a major concern for most learners. Searching for affordable online degree programs can help reduce tuition costs and overall student debt—especially important in a fast-evolving field like computer science.
Academic history doesn't have to be a barrier; there are now many best colleges for low gpa that offer flexible admission requirements while still delivering high-quality education online.
Beyond computer science, interdisciplinary interests are common. For example, pairing tech skills with environmental knowledge can lead to impactful jobs. Curious about options outside of programming? Check out environmental science degree pathways for ideas on where your studies can take you.
Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 51
Pacific Northwest National Laboratory
The University of Texas at Austin
Monash University
University College London
University of Oslo
Duke University
Queensland University of Technology
University of Portsmouth
National Institutes of Health
University of Toronto
University of North Carolina at Chapel Hill
Ghent University Hospital
University of New Brunswick
Peking University
Özyeğin University
Wageningen University & Research
