DAGM German Conference on Pattern Recognition Call for Papers

Name: DAGM German Conference on Pattern Recognition

Acronym: DAGM GCPR

Dates: 23.09.2025 to 26.09.2025
Location: Freiburg, Germany

CALL FOR PAPERS AND IMPORTANT DATES: DAGM GCPR 2025

https://www.dagm-gcpr.de/year/2025

Call for Papers
The DAGM German Conference on Pattern Recognition (DAGM GCPR) 2025 is
the 47th annual symposium of the German Association for Pattern
Recognition (DAGM). It is an international venue for recent advances
in pattern recognition including image processing, machine learning,
and computer vision, and welcomes submissions from all areas of
pattern recognition. This year, it will be held in Freiburg.

Authors are invited to submit high-quality papers presenting original
research. Submitted papers will be reviewed based on the criteria of
originality, soundness, empirical evaluation, and presentation. The
reviewing process is double-blind. Accepted papers will be published
by Springer as a proceeding of the Lecture Notes in Computer Science
(LNCS). The best papers will be invited to contribute to a special
issue of the International Journal of Computer Vision (IJCV).

Topics of interest include, but are not limited to, the following:
* Image/video processing, analysis, and computer vision
* Machine learning and pattern recognition
* Perception and machine learning for robotic systems
* Mathematical foundations, statistical data analysis and models
* Computational photography and confluence of vision and graphics
* Biomedical image processing and analysis
* Document analysis
* Biometrics
* Applications

Submission deadlines

Special Tracks

We especially invite submissions for the following Special Tracks,
which are chaired and reviewed explicitly 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.

Pattern recognition in the life and natural sciences

Pattern recognition and machine learning already became a major driver
in the sciences, for example, for data driven analysis or
understanding of processes. This special track asks for original work
that demonstrates successful development and application of pattern
recognition methods tailored to the specific domain from the life- and
natural 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 from image classification
and segmentation to high-precision photogrammetry to share their
latest developments. Besides state-of-the-art research novelties,
papers will also be considered if they present interesting, complex
applications possibly in unexpected domains or with novel extensive
data sets.

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.
 
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 Master's thesis award of
the DAGM Young Researcher's forum. Please follow the special
submission instructions on the conference web page.

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.

Important Dates
Regular papers
	 
	 
	Paper Submission Deadline:
	June 04, 2025

	Supplementary Material Deadline:
	June 11, 2025
	 
	Decisions to Authors:
	July 16, 2025
	 
	Camera Ready Deadline:
	July 30, 2025
	 
	 
	Fast Review Track
	Paper Submission Deadline:
	July 1st, 2025
	 
	Supplementary Material Deadline:
	July 1st, 2025
	 
	Decisions to Authors:
	July 21, 2025
	 
	Camera Ready Deadline:
	Aug 11, 2025
	 
	Nectar Track
	Proposal Submission Deadline:     
	July 28, 2025
	 
	Notification of acceptance:
	Aug 11, 2025
	 
	Conference
	September 24-26, 2025