GCPR-VMV 2024 Call for Papers
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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: https://www.gcpr-vmv.de/fileadmin/gcpr-vmv/2024/GCPR_CallForPapers.pdf
VMV Call for Paper in PDF format: https://www.gcpr-vmv.de/fileadmin/gcpr-vmv/2024/VMV_CallForPapers.pdf

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

- Dates -
See Important Dates: https://www.gcpr-vmv.de/year/2024/submission/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
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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
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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.

Fast Review Track
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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 details.

Nectar Track
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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 https://forms.gle/9NaV1zRDH8gLvUEaA


Contact and additional information
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Please see the conference web page for contact information of the organizers and more details about the submission process and format: https://www.gcpr-vmv.de/year/2024.

Questions can be directed to gcpr-vmv-2024@tum.de.