International Conference on Scale Space and Variational Methods in Computer Vision

Situation of the pandemic

Update (march 2021): Given the number of uncertainties surrounding the situation of the pandemic, and after much deliberation with the steering committee of SSVM:

** We have decided that SSVM 2021 will take place entirely virtually. **

It is difficult to predict how the current restrictions all across Europe and the world will evolve in May, and our first priority is the safety, health, and well-being of SSVM participants.

Running a virtual conference introduces a few challenges, but we're enthusiastic that we will be able to provide a useful, meaningful, and intellectually stimulating conference experience, and in particular for the poster sessions.

As a consequence, we have also decided that no registration fees will be charged to the registered participants.

So far, we are planning to maintain the SSVM conference live, provided the progress of the outbreak situation continues to improve. However, our first priority is the safety, health, and well-being of SSVM participants.We are closely monitoring the situation through official channels and will provide updates with any developments. If the situation next spring does not improve enough, then we will consider turning the event completely virtual. For participants with health issues and risks, who will have their work accepted but cannot attend, we will also consider possibilities for remote participation. In any event, we would like to encourage the community to submit excellent research work.

Submission

CMT submission webpage : http://cmt3.research.microsoft.com/SSVM2021/

Contributions are in the form of full papers, 12 pages in Springer LNCS format including bibliography.

Papers accepted for the conference will appear in the conference proceedings that will be published in Springer's Lecture Notes in Computer Science series. The proceedings will be available at the conference. Prospective authors are invited to submit a full-length twelve-page paper electronically via the SSVM'21 Paper Submission Web Page. All papers will undergo a double-blind peer-review procedure. At the conference the papers will be presented as posters or talks.

The conference will award a best student paper prize.

Conference topics

SSVM is a biannual meeting within the area of Computer Vision and Image Analysis. SSVM focuses especially on multiscale analysis of image content, partial differential equations, geometric and level-set methods, variational methods, and optimization.

Conference topics include the following areas:

3D vision
Approximation methods in imaging
Compressed sensing
Convex and non-convex variational models
Cross-scale structure
Differential geometry and invariants
Image- and feature analysis
Imaging modalities
Implicit surfaces
Inverse problems in imaging
Machine learning in imaging
Manifold data processing
Mathematics of novel imaging methods
Medical imaging and other applications
Motion estimation and tracking
Multi-orientation and multi-scale modelling and analysis
Optical flow
Optimization methods in imaging
PDEs in data processing
Perceptual grouping
Registration
Restoration and reconstruction
Scale-space methods
Segmentation
Selection of salient scales
Shape from X
Stereo and multi-view reconstruction
(Sub-)Riemannian geometry in imaging
Surface and shape modelling and analysis
Variational methods

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