Energy minimization methods have become an established computational paradigm in computer vision and pattern recognition. EMMCVPR is a regular bi-annual conference dedicated to advancing the state of the art in this field. This year marks the 20th anniversary of the foundation of the conference series, with the inaugural meeting having taken place in Venice in 1997, and we will celebrate it by bringing it back to Venice.
Discrete and continuous optimization
Convex programming and relaxations
PDE and variational methods
Stochastic optimization
Spectral methods
Graphical models and markov random fields
Statistical methods and learning
Graph-theoretic and network-based methods
Analysis of deep architectures
Adversarial and game-theoretic models
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
10月30日
2017
会议日期
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初稿录用通知日期
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