German Conference on Pattern Recognition (GCPR) and the International Symposium on Vision, Modeling, and Visualization (VMV) Call for Papers

Name: GCPR-VMV 2024

Dates: September 10-13

Location: Munich, Germany

Call for Papers:


GCPR-VMV 2024 Call for Papers



GCPR-VMV is Germany's leading forum for advances in computer
vision, machine learning, computer graphics, modeling, and
visualization research. It combines two conferences: The German
Conference on Pattern Recognition (GCPR) and the International
Symposium on Vision, Modeling, and Visualization (VMV). Besides the
research, the forum has a tradition to be a networking event of
Germany-based researchers, with typically over 200 participants
including many world-leading experts. The conference main program
(Tuesday to Friday) includes several keynote speakers, as well as
invited talks by leading researchers from academy and industry. The
social program includes a reception and a conference dinner. On the
day prior to the main conference (Tuesday) we organize a workshop and
a tutorial. The best papers will be invited to contribute to a special
issue of the International Journal of Computer Vision (IJCV). TU
Munich hosts the 46th edition of GCPR and 29th edition of VMV.

- Download Call for Papers -

GCPR Call for Paper in PDF format:

VMV Call for Paper in PDF format:

Please do not hesitate to distribute the Call for Papers further.

- Dates -

See Important Dates:

The dates for all submissions are as follows (deadlines will not be
extended). Deadlines are at 23:59 Greenwich Mean Time (GMT) on the
given day.

Special Tracks


We especially invite submissions for the following Special Tracks,
which are chaired and reviewed by experts from the respective
fields. They also have special review criteria which will be
explicitly communicated to the reviewers to ensure clear quality
expectations and interesting contributions.

- Computer vision systems and applications -

The computer vision systems and applications track invites papers on
systems and applications with significant, exciting vision and machine
learning components. The track provides a forum for researchers
working on industrial applications to share their latest
developments. The focus is not on state-of-the-art research
novelty. Instead, the system and applied papers need to stand out in
successfully transferring research results to applications in the
industry. Important are measurable success indicators, such as
performance, robustness, memory or energy consumption, big data,
systems-level innovation or adaptation of existing methods to an
entirely novel domain while satisfying industrial requirements.


- Pattern recognition in the life and natural sciences -

Pattern recognition and machine learning are already a major driver in
the sciences, for example, for data-driven analysis or understanding
of processes. This special track invites original work that
demonstrates the successful development and application of pattern
recognition methods tailored for the specific domain from the natural
and life sciences.


- Photogrammetry and remote sensing -

The photogrammetry and remote sensing track invites papers on theory
and applications in photogrammetry and remote sensing with significant
computer vision or machine learning components. The track provides a
forum for researchers developing approaches ranging from image
classification and segmentation to high-precision photogrammetry to
share their latest developments. Besides the established research
domains, this track will also consider submissions if they present
interesting, complex applications, possibly in unexpected domains or
on novel datasets.


- Robot vision -

The robot vision track invites papers on state-of-the-art research in
computer vision approaches for robotics. The papers in the track will
be reviewed by experts in the field and judged by criteria of
technical merit, quality, originality, and scientific novelty. The
track provides a forum for researchers on robotics-related methods for
computer vision and machine learning at the conference.


DAGM Young Researcher's Forum


If you are a Master student, you are invited to submit your thesis as
a paper to GCPR to promote your work, meet prospective employers or
Ph.D. supervisors and compete for the Best Masterís thesis award of
the DAGM Young Researcherís forum. Please follow the special
submission instructions on the conference web page.

Fast Review Track


The fast review track is open to all rejected peer reviewed conference
and journal papers since 01.06.2023 (rejection date). We also welcome
rejections to this GCPR. For instance, if your CVPR 2024 submission
has not been accepted but you can address the concerns of the CVPR
reviewers by a minor revision of the paper, you can submit a revised
version of the paper together with the original reviews to the Fast
Review Track. The review process takes only two weeks and is similar
to the reviewing process of a journal for a minor revision. Please see
the submission instructions on the conference web page for more


Nectar Track


The nectar track is an opportunity for you to contribute to the
program of GCPR by presenting a paper already published at a previous
major international computer vision, or machine learning conference or
in a journal. This way, you can generate additional exposure of your
work and have a platform for networking with colleagues within and
outside the GCPR community. Please submit through


Contact and additional information


Please see the conference web page for contact information of the
organizers and more details about the submission process and format:

Questions can be directed to