Home
Best Conferences - Computer Science
The 44th German Conference on Pattern Recognition 2022

The 44th German Conference on Pattern Recognition 2022 (GCPR)

Name: German Conference on Pattern Recognition
Start: 2022-09-27
End: 2022-09-30
Location: Konstanz

Location: Konstanz , Germany

Conference dates: 9/27/2022 - 9/30/2022

Research H-index

Official website

Ranking & Metrics

Discipline name	Position	Best Scientists	Publications	D-Index
Computer Science	910	6	6	3

Call for Papers

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. 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
Mathematical foundations, statistical data analysis and models
Computational photography and confluence of vision and graphics
Biomedical image processing and analysis
Document analysis
Biometrics
Applications

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.

Computer vision systems and applications
The computer vision systems and applications track invites papers on systems and applications with significant, interesting 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 novelties, but the system and applied papers need to stand out in the successful transfer and application of research results to industry with measurable success indicators, such as performance, robustness, memory or energy consumption, big data, the systems-level innovation or the adaptation of existing methods to a complete novel domain while satisfying industrial requirements.

Pattern recognition in the life and natural sciences
Pattern recognition and machine learning have become a major driver in the sciences already, 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.

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.

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 see the submission instructions (https://gcpr-vmv-2022.uni-konstanz.de/gcpr-submission-instructions/) for more details and criteria for eligibility.

Fast Review Track for ECCV 2022 Submissions

If your ECCV 2022 submission has not been accepted but you can address the concerns of the ECCV 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 (https://gcpr-vmv-2022.uni-konstanz.de/gcpr-submission-instructions/) for more details and criteria for eligibility.

Dates

The dates for all submissions are as follows (deadlines will not be further extended):

Regular Papers
Paper Submission Deadline: 27.5. extended to 3.6. *
Supplementary Material Deadline: 10.6.
Decisions to Authors: 15.7.
Camera Ready Deadline: 14.8.
Fast Review Track
Paper Submission Deadline: 15.7.
Supplementary Material Deadline: 15.7.
Decisions to Authors: 31.7.
Camera Ready Deadline: 14.8.

Overview

This comprehensive ranking presents a detailed evaluation of scientific conferences in the field of Computer Science. Compiled by Research.com, a recognized authority in science research and a trusted provider of scientific data since 2014, the ranking aims to highlight the most influential conferences in the discipline. The assessment is based on a proprietary bibliometric score developed by Research.com, which takes into account both the estimated h-index and the number of leading scientists who have contributed to each conference over the last three years.

The Impact Score values used in this ranking were meticulously gathered as of 2024-11-27. The selection process was exhaustive, involving an in-depth review of more than 2,742 conferences within the Computer Science domain. This evaluation was founded on a rigorous analysis of over 148,739 scientific documents authored within the preceding three years by 13,184 prominent and respected scientists in the area. Such an extensive approach ensures that the conferences listed reflect exceptional academic standards and significant scientific impact within the field.

For those interested in further understanding the methodology behind this ranking, detailed information regarding the computation of bibliometric scores and other evaluation criteria can be found on our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing at German Conference on Pattern Recognition (based on the number of publications) are:

Joachim Denzler (15 papers) absent at the last edition,
Daniel Cremers (13 papers) published 2 papers at the last edition the same number as at the previous edition,
Bernt Schiele (12 papers) published 1 paper at the last edition, 3 less than at the previous edition,
Thomas Pock (12 papers) published 1 paper at the last edition, 1 less than at the previous edition,
Reinhard Koch (12 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at German Conference on Pattern Recognition (based on the number of publications) are:

Max Planck Society (39 papers) published 1 paper at the last edition, 4 less than at the previous edition,
Heidelberg University (33 papers) published 1 paper at the last edition, 4 less than at the previous edition,
Technische Universität München (21 papers) published 2 papers at the last edition the same number as at the previous edition,
ETH Zurich (19 papers) absent at the last edition,
University of Bonn (18 papers) absent at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 85.71% were posted by at least one author from the top 10 institutions publishing at the conference. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 14.29% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Related Online Degrees & Career Pathways

For students interested in expanding their expertise beyond traditional Computer Science, interdisciplinary degrees offer exciting opportunities. Many opt for specialized programs like analytics masters programs, which focus on interpreting complex data to drive strategic decisions across industries.

For those passionate about advancing research, pursuing a data science phd online can provide the flexibility needed to balance studies with professional aspirations. This path develops expertise in machine learning, artificial intelligence, and big data technologies.

Combining biology with computational skills opens doors to unique careers. Many graduates explore what jobs can you get with a bioinformatics degree, ranging from genomics research to pharmaceutical development, reflecting the growing importance of computational biology.

Additionally, individuals interested in technology’s role in healthcare might consider online healthcare degrees that pay well to gain knowledge at the intersection of medicine and technology. These programs often lead to roles that support healthcare innovation through data systems and analytics.