Editorial Board
Most Cited Paper Award
Generative model based vision
Primal sketch: Integrating structure and texture
Texture enhanced appearance models
Nonlinear manifold learning for dynamic shape and dynamic appearance
Dynamic quantization for belief propagation in sparse spaces
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
Bayesian stereo matching
Large deformation diffeomorphisms with application to optic flow
Optical flow based super-resolution: A probabilistic approach
Smart particle filtering for high-dimensional tracking
On the computational rationale for generative models