GCPR 2026: Call for Papers

When: Sep 22, 2026 - Sep 25, 2026
Where: Siegen, Germany
Submission Deadline: May 21, 2026
Notification Due: July 16, 2026
Final Version Due: July 28, 2026

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 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. The 48th edition of GCPR and 31st edition of VMV will be held in Siegen, Germany, on 22-25, September 2026 (Tue-Fri).

We invite submissions of high-quality research papers presenting original contributions in all areas of pattern recognition. Submitted papers will be evaluated based on their originality, soundness, empirical validation, and presentation. The review process will follow a double-blind format. Accepted papers will be published in the Lecture Notes in Computer Science (LNCS) by Springer. Topics of interest include, but are not limited to, the following:

1. Image/video processing, analysis, and computer vision
2. Multimodal learning and understanding
3. Machine learning and pattern recognition
4. Unsupervised- and self-supervised learning
5. Transfer, low-shot, continual, long-tail learning
6. Perception and machine learning for robotic systems
7. 3D and multi-view recognition
8. Mathematical foundations, statistical data analysis, and models
9. Computational photography and the confluence of vision and graphics
10. Biomedical image processing and analysis
11. Applications (e.g., biometrics, document analysis, etc.)

Special Tracks:
GCPR 2026 will feature several Special Tracks, each chaired and reviewed by domain experts, ensuring high-quality and relevant contributions:

1. 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. 

2. 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.

3. 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 Researchers’ Forum
The DAGM Young Researchers’ Forum supports outstanding young scientists by offering Master’s students the opportunity to submit their thesis work as a paper to GCPR 2026 and compete for the Best Master’s Thesis Award. In addition, travel grants are available for excellent Bachelor graduates and enrolled Master’s students. More information is available at https://www.dagm.de/awards/young-researchers-forum.

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.

Fast Track:
The fast track is open to submissions based on previously peer-reviewed conference or journal papers (including papers rejected by ECCV), provided the authors can address the prior reviews with a minor revision. The review cycle is about two weeks. More details will follow!

Important Dates:
1. Regular Papers:
- Paper Submission Deadline: May 21, 2026
- Supplementary Material Deadline: May 26, 2026
- Decisions to Authors: July 16, 2026
- Camera Ready Deadline: July 28, 2026

2. Fast Track (e.g., resubmissions from ECCV)
- Paper Submission Deadline: July 07, 2026
- Decisions to Authors: July 21, 2026
- Camera Ready Deadline: July 28, 2026

3. Nectar Track and Research Spotlight
- Proposal Submission Deadline: August 04, 2026
- Notification of Acceptance: August 11, 2026

Conference: September 22-25, 2026

Submission Details:
For detailed submission guidelines and important deadlines, please visit the submission page.

We look forward to receiving your contributions and to welcoming you to Siegen for an engaging and enriching GCPR 2026!

Best Regards,
GCPR 2026 Organizing Committee