Differentiable Nonparametric Belief Propagation.
Anthony OpipariChao ChenShoutian WangJana PavlasekKarthik DesinghOdest Chadwicke JenkinsPublished in: CoRR (2021)
Keyphrases
- nonparametric belief propagation
- graphical models
- particle filter
- belief propagation
- articulated body
- objective function
- markov random field
- probabilistic model
- loss function
- human body
- approximate inference
- particle filtering
- object tracking
- machine learning
- monte carlo
- bayesian networks
- mean shift
- bayesian inference
- visual tracking
- shape model
- three dimensional
- image processing