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VMV Poster 2016 : International Symposium on Vision, Modeling and Visualization - Poster Sessions

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Link: http://vmv2016.uni-bayreuth.de/
 
When Oct 10, 2016 - Oct 12, 2016
Where Bayreuth
Submission Deadline Sep 18, 2016
Notification Due Sep 25, 2016
Categories    computer graphics   visualization   poster
 

Call For Papers

The VMV Symposium series is well-established as Germany’s premier symposium that covers the fields of computer graphics, computer vision, visualization, and visual analytics, and it has reached significant international visibility. VMV offers researchers the opportunity to discuss a wide range of different topics within an open, international, and interdisciplinary environment.

For this year’s conference, we offer a student posters track as well as a special "nectar track", see below.

Student poster track:
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To enable a better research dissemination and sharing of ideas, presentations of current work in any area in computer graphics, computer vision, and visualization are welcome to the submission. BSc and MSc students are encouraged to submit a poster abstract related to any area in computer graphics, computer vision, and visualization. The main author of the submission should be a student. The goal is to enable easily sharing of preliminary research ideas, results of student projects (explicitly including bachelor and masters theses), applications and case studies, experience reports.

Nectar track:
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We would like to allow for a presentation and discussion of very high-quality results at VMV. For this reason we allow few poster presentation for papers originally published elsewhere. This should be the best result in the field over the coarse of few years that would provoke discussion and enable overview of important scientific results for VMV community.

The original paper would have been published at one of the major conferences or journals relevant to VMV, e.g., ICCV, Vis, SIGGRAPH, Eurographics, SIGGRAPH Asia, and PAMI, IJCV, ToG, TVCG, starting from year 2014. The organizers reserve the right to refuse a contribution. Decisions on acceptance will be made based on quality, relevance, and availability of presentation slots.

Submission instructions:
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Student poster track: Please submit an extended abstract of the poster (max. 2 pages, using the usual VMV LaTeX template http://vmv2016.uni-bayreuth.de/files/egPublStyle-VMV16.zip ) to vmv-poster@uni-bayreuth.de. Poster submissions will be reviewed. Accepted poster abstracts will be included in the workshop electronic proceedings. The poster submission is single-blind.

Nectar track: Please email vmv-poster@uni-bayreuth.de with subject "VMV Nectar Track" and following information:

* Title of contribution
* Authors
* Planned presenter of the poster
* Journal/Conference
* Volume/Year/Page No.

For any inquiries on either of tracks please contact oleg.lobachev@uni-bayreuth.de.

Poster Session:
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Authors should bring a hard copy of the poster with them. The required dimensions are A0, portrait. At least one author should register at the conference and present the poster personally. The presenter is expected to engage in the discussion during the poster session.

Important Dates:
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* Poster submission: Sep 18, 2016
* Notification: Sep 25, 2016

Related Resources

VMV 2017   Vision Modeling and Visualization
ICCVG 2018   International Conference on Computer Vision and Graphics
VISIGRAPP 2018   13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
WWW Poster 2017   WWW conference poster paper submission 2017
IJITMC 2017   International Journal of Information Technology, Modeling and Computing
UIC 2017 - Poster and Demo 2017   UIC 2017 Poster and Demo CFP
CITRENZ 2017   The 8th Annual Conference of Computing and Information Technology Research and Education New Zealand
4th IEEE ICIIP 2017   International Conference on Image Information Processing (ICIIP 2017)
WSCG 2017   WSCG - 25. Conference on Computer Graphics, Visualization and Computer Vision
IDEA 2017   KDD 2016 Workshop on Interactive Data Exploration and Analytics (KDD-IDEA)