CFP: EMMCVPR 2011
The 8th International Conference on Energy Minimization in Computer
Vision and Pattern Recognition (EMMCVPR)
July 25-27, 2011
Saint Petersburg, Russia
http://emmcvpr11.csd.uwo.ca/
CALL FOR PAPERS
Energy Minimization Methods have become an established computational
paradigm in Computer Vision and Pattern Recognition. EMMCVPR is a
regular bi-annual international conference dedicated to advancing the
state-of-the-art regarding development and applications of energy
minimization methods. As with the previous editions, the proceedings
will be published by Springer in the Lecture Notes on Computer Science
(LNCS) series. The size of the paper will be limited to 14 pages. The
scientific program of EMMCVPR 2011 will include the presentation of
invited plenary talks and contributed research papers. For more
information check out the conference web site at www.emmcvpr.org
SUBMISSION DEADLINE: March 25, 2011
Methods of interest include but are not limited to:
Combinatorial Optimization
Convex Programming and Relaxations
PDE and Variational Methods
TV and Continuous Convex Optimization
Stochastic Optimization
Spectral Methods
Graphical Models
Statistical Methods and Learning
Application areas include but are not limited to:
Object Recognition and Detection
Scene Understanding
Segmentation and Grouping
Restoration and Inpainting
Color and Texture
Computational Photography
Photo and Video Editing
Motion and Tracking
Matching and Registration
Medical Image Analysis
Pose Estimation
Action and Event Recognition
Shape Analysis
Shape-from-X
Stereo and 3D Reconstruction
Multiview Geometry
Vision for Graphics
Other Applications
Key-note speakers: Andrew Blake (Microsoft Research), Emmanuel Candes
(Stanford University), Alan Yuille (University of California Los
Angeles)
Program chairs: Yuri Boykov (University of Western Ontario), Fredrik
Kahl (Lund University), Victor Lempitsky (University of Oxford)
Organizational support: Frank Schmidt and Andrew Delong (University of
Western Ontario), Anna Medvedeva (local support)
